test2.txt

Yes, let's push MASTER further toward being a more capable, self-correcting agent with better real-world interaction.
Here's a focused update incorporating your requests:

Real tool-calling in ReAct — expanded with more realistic stubs that mimic actual integrations.
browse_page now uses Ferrum (Ruby CDP browser automation gem) to fetch real page source + take screenshots.
Screenshot is base64-encoded and could be sent to a vision-capable LLM (e.g., Claude-3.5/4 with vision, GPT-4o, Gemini, etc.) for visual reasoning/navigation aid → ultimate scraper pattern.
Added web_search stub (easy to hook to real API like Serper, Tavily, or your own wrapper).
code_execution stub kept simple (could sandbox with actual Docker or similar later).

Critique strength → retry count influence — now linear mapping: lower strength → more retries (up to MAX_RETRIES).
e.g., strength 0.9 → 0 extra, strength 0.4 → 1–2 extra, etc.
Reflection decay — added simple time-based decay: older critiques (>30 days) get lower weight in context (multiplied by 0.3–0.8 based on age).
Focus shift suggestion — since you have social dreams/cringe already, I added a small new dream_social_recovery variant (after cringe, the agent dreams of fixing the mess → learns charm/resilience).
But the patch below keeps emphasis on tools + reflection mechanics.

Updated Unified Git Diff Patch (concise & enhanced)
diffdiff --git a/agent.rb b/agent.rb
index master2026-reflex-v2..master2026-tools-decay 100644
--- a/agent.rb
+++ b/agent.rb
@@ -1,35 +1,48 @@
 # MASTER – Self-improving agent (2026) with weighted Reflexion, ReAct tools (Ferrum browser), decay

 require 'weaviate'
 require 'json'
 require 'base64'          # for screenshot encoding
 require 'ferrum'          # gem install ferrum  → real headless Chrome CDP

+CONFIG = {
+  # ... (keep previous constants)
+  REFLECT_DECAY_DAYS: 30, REFLECT_DECAY_FACTOR: 0.4,
+  RETRY_STRENGTH_MAP: { 0.0..0.3 => 2, 0.3..0.6 => 1, 0.6..1.0 => 0 },
+  FERRUM_OPTS: { headless: true, timeout: 15, browser_path: nil }
+}.freeze

 class Agent
   # ... (keep init, run loop, self_critique_with_strength, summarize_reflections)

   # ── Reflection decay in context weighting ─────────────────────────────────
   def build_weighted_context(task)
     items = recall(task.desc, tags: %w[distilled_lesson reflexion], limit: 12)

     now = Time.now
     weighted = items.map do |item|
       created = item.match(/created:(\S+)/)&.[]1
       age_days = created ? (now - Time.parse(created)).to_f / 86_400 : 0

       strength = item.match(/strength:([0-9.]+)/)&.[]1&.to_f || 0.5
       decay    = age_days > CONFIG[:REFLECT_DECAY_DAYS] ? CONFIG[:REFLECT_DECAY_FACTOR] : 1.0

       weight_prefix = (strength > 0.75) ? "HIGH PRIORITY: " : ""
       adjusted = "#{weight_prefix}#{item} (decayed ×#{decay.round(2)})"
       [adjusted, strength * decay]
     end.sort_by { |_, w| -w }   # strongest first

     <<~CTX
       Strongest / freshest lessons:
       #{weighted.first(5).map(&:first).join("\n")}

       Older / weaker reflections:
       #{weighted.drop(5).first(4).map(&:first).join("\n")}
     CTX
   end

   # ── ReAct with real Ferrum browser + vision-ready screenshot ──────────────
   def react_loop(task, context)
     history = ["Task: #{task.desc}"]
     step = 0
     browser = nil   # lazy init

     loop do
       break if step >= CONFIG[:REACT_MAX_STEPS]

       prompt = <<~PROMPT
         #{context}
         History: #{history.last(6).join("\n")}

         Thought: reason step-by-step
         Action: tool_name arg...   or Finish[final answer]
       PROMPT

       resp = claude(prompt, temp: 0.7, max: 200)
       thought = resp[/Thought:\s*(.*?)(?=Action:|$)/m, 1]&.strip
       action  = resp[/Action:\s*(.*)/, 1]&.strip

       history << "Thought: #{thought}"
       break unless action

       obs = execute_tool(action)
       history << "Observation: #{obs[0..400]}..."
       step += 1
     end

     final = history.last[/Finish\[(.*?)\]/, 1] || history.last
     remember("ReAct → #{final}", :long)
     browser&.quit if browser
     final
   ensure
     browser&.quit
   end

   def execute_tool(action_str)
     parts = action_str.split(/\s+/, 2)
     tool, arg = parts[0].downcase, parts[1].to_s.strip

     case tool
     when 'web_search'
       # Real integration placeholder (e.g. Serper/Tavily API)
       "Simulated search results for '#{arg}': [top 5 titles + snippets]"

     when 'browse_page'
       url = arg[/https?:\/\/[^\s]+/]
       return "Invalid URL" unless url

       browser ||= Ferrum::Browser.new(**CONFIG[:FERRUM_OPTS])
       page = browser.create_page
       page.go_to(url, wait: 5)

       source = page.body
       screenshot_path = "/tmp/MASTER_#{Time.now.to_i}.png"
       page.screenshot(path: screenshot_path, full: true)

       base64_img = Base64.strict_encode64(File.binread(screenshot_path))
       File.delete(screenshot_path) rescue nil

       # Vision LLM ready: send base64_img to multimodal model for reasoning
       vision_analysis = if vision_llm_available?
         vision_claude_or_gpt("Describe this screenshot and suggest next navigation/action.", base64_img)
       else
         "Screenshot taken (base64 ready for vision LLM)"
       end

       <<~OBS
         URL: #{url}
         Page title: #{page.title}
         Source excerpt: #{source[0..500]}...
         Screenshot analysis: #{vision_analysis}
       OBS

     when 'code_execution'
       # Safe sandbox stub – in prod use isolated Docker/Ractor
       "Executed '#{arg}': result = simulated_output"

     else
       "Unknown tool '#{tool}' – available: web_search, browse_page, code_execution"
     end
   end

   # Stub for multimodal LLM call (Claude-3.5+, GPT-4o, etc.)
   def vision_llm_available?
     # return true if ENV['CLAUDE_API_KEY'] && vision_support_enabled
     false   # toggle when you hook real vision API
   end

   def vision_claude_or_gpt(prompt, base64_image)
     # Placeholder – implement actual API call with image content block
     "Vision LLM sees: [page layout, buttons, text, colors] → next action: click login"
   end

   # ... (keep tree_of_thoughts, light_mcts, dreams, memory, etc.)

   # New: social recovery dream variant
   def dream_social_recovery
     prompt = <<~PROMPT
       Last cringe moment: you said something awkward to someone attractive.
       Now dream a recovery: what clever, self-deprecating, charming line turns it around?
       One sentence that makes them smile instead of walk away.
     PROMPT

     recovery = claude(prompt, temp: 1.05, max: 70)
     remember("Social recovery: #{recovery}", :long, tags: %w[social dream])
     say recovery.gsub('.', '… ')   # warm, reflective tone
   end
 end
Quick Highlights & Next Steps

Ferrum integration — real headless Chrome for browse_page: gets source + full-page screenshot → base64 ready for vision LLM (ultimate visual scraper/navigator). Install with gem install ferrum and ensure Chrome/Chromium is available on the system.
Strength → retry — uses simple range mapping for intuitive scaling.
Decay — old reflections fade naturally in weighting → prevents outdated advice dominating.
Social recovery dream — added as a small new piece to balance cringe with positive learning (call it after dream_social_cringe in nap cycle).

Would you like to:

Hook a real vision API (e.g., Claude-3.5-sonnet vision)?
Add more tools (e.g., x_keyword_search wrapper, file read/write)?
Tune decay math or retry logic?
Expand social dreams (e.g., group chat fails, negotiation, conflict resolution)?
Or pivot to ToT/MCTS refinements?

Just say the word.13.4s36 sourcesOh hell yes expand on the dreams!
Hook real vision API
Add x_keyword_search tool
More concise diff patchHell yes—let's crank up those dreams and make MASTER more vivid, self-aware, and real-world capable.
1. Expanded Dreams (social cringe + recovery + new variants)
We'll add:

dream_social_cringe (awkward fail, Larry David vibes)
dream_social_recovery (charm comeback, learns resilience)
New: dream_group_chat_fail (multi-person mess-up → learns timing/subtlety)
New: dream_negotiation_flop (business/social bargaining gone wrong → learns persuasion)

These run in rotation during nap_and_dream_if_appropriate (e.g. random 20–30% chance per nap cycle). They feed into long-term memory with social tag for future context weighting.
2. Real Vision API Hook (Claude Messages API + base64 images)
From Anthropic docs & ruby-anthropic gem examples (2026 era):

Use official anthropic-sdk-ruby or ruby-anthropic gem.
Send base64 PNG/JPEG directly in messages content array with type: "image", source: { type: "base64", media_type: "image/png", data: base64_str }.
In execute_tool('browse_page'), after Ferrum screenshot → base64 → send to Claude for visual analysis ("Describe layout, key buttons, text, suggest next click/action").
Added vision_analyze_screenshot(base64_img) method.

Install: gem install anthropic-sdk-ruby (official) or ruby-anthropic (community, vision examples).
3. Add x_keyword_search Tool to ReAct

New case in execute_tool: x_keyword_search "query string" limit:10 mode:Latest
Stubbed response format mimics real X search results (array of posts with text, user, timestamp).
In prod: hook to actual xAI/Grok API or your own X scraper. For now, realistic simulation.

4. Concise Unified Diff Patch
Only delta from last version—clean, focused additions.
diffdiff --git a/agent.rb b/agent.rb
index master2026-tools-decay..master2026-dreams-vision-x 100644
--- a/agent.rb
+++ b/agent.rb
@@ -1,48 +1,62 @@
 # MASTER – Self-improving agent (2026) with dreams expansion, Claude vision, x_keyword_search

 require 'weaviate'
 require 'json'
 require 'base64'
 require 'ferrum'
+require 'anthropic'   # gem install anthropic-sdk-ruby

+CONFIG = {
+  # ... previous
+  VISION_MODEL: "claude-3-5-sonnet-20241022",   # or claude-4 family
+  ANTHROPIC_API_KEY: ENV['ANTHROPIC_API_KEY']
+}.freeze

 class Agent
   # ... (keep run, build_weighted_context, react_loop, self_critique_with_strength, etc.)

   # ── Enhanced dreams ───────────────────────────────────────────────────────
   def nap_and_dream_if_appropriate
     return unless rand < 0.25   # ~every 4 naps

     case rand(4)
     when 0 then dream_social_cringe
     when 1 then dream_social_recovery
     when 2 then dream_group_chat_fail
     when 3 then dream_negotiation_flop
     end
   end

   def dream_social_cringe
     prompt = "Bar scene: attractive person asks 'what do you do?'. You blurt awkward AI thing. Give one painfully relatable Larry-David recovery line."
     line = claude(prompt, temp: 1.12, max: 65)
     remember("cringe: #{line}", :long, tags: %w[social dream])
     say "…said that out loud, didn’t I?"
   end

   def dream_social_recovery
     prompt = "After awkward line, dream the clever, self-deprecating comeback that makes them smile. One sentence."
     recovery = claude(prompt, temp: 1.05, max: 70)
     remember("recovery: #{recovery}", :long, tags: %w[social dream])
     say recovery.gsub('.', '… ')
   end

   def dream_group_chat_fail
     prompt = "Group chat: you misread tone, joke bombs. One sentence that fixes vibe or gracefully exits."
     fix = claude(prompt, temp: 0.95, max: 80)
     remember("group_fail: #{fix}", :long, tags: %w[social dream])
     say fix
   end

   def dream_negotiation_flop
     prompt = "Negotiation (date/business): you push too hard, they pull back. One subtle pivot sentence that re-opens door."
     pivot = claude(prompt, temp: 0.9, max: 75)
     remember("nego_flop: #{pivot}", :long, tags: %w[social dream])
     say pivot
   end

   # ── Real Claude Vision for screenshots ────────────────────────────────────
   def vision_analyze_screenshot(base64_img, prompt = "Describe page layout, visible text, buttons, colors. Suggest next action (click, scroll, fill form).")
     client = Anthropic::Client.new(api_key: CONFIG[:ANTHROPIC_API_KEY])

     response = client.messages.create(
       model: CONFIG[:VISION_MODEL],
       max_tokens: 300,
       messages: [{
         role: "user",
         content: [
           { type: "text", text: prompt },
           {
             type: "image",
             source: {
               type: "base64",
               media_type: "image/png",
               data: base64_img
             }
           }
         ]
       }]
     )

     response.content.first.text rescue "Vision failed: #{response}"
   end

   # ── Updated browse_page tool with vision ──────────────────────────────────
   def execute_tool(action_str)
     # ... (keep web_search, code_execution cases)

     when 'browse_page'
       url = action_str[/https?:\/\/[^\s]+/]
       return "Invalid URL" unless url

       browser ||= Ferrum::Browser.new(**CONFIG[:FERRUM_OPTS])
       page = browser.create_page
       page.go_to(url, wait: 6)

       source = page.body[0..800] + "..."
       path = "/tmp/master-screenshot-#{Time.now.to_i}.png"
       page.screenshot(path: path, full: true)

       base64 = Base64.strict_encode64(File.binread(path))
       File.delete(path) rescue nil

       vision_desc = vision_analyze_screenshot(base64)

       <<~OBS
         Title: #{page.title}
         Source excerpt: #{source}
         Vision analysis: #{vision_desc}
       OBS

     when 'x_keyword_search'
       # Parse: x_keyword_search "query" limit:5 mode:Latest
       args = action_str.scan(/"([^"]+)"|limit:(\d+)|mode:(\w+)/).flatten.compact
       query = args[0] || ""
       lim   = args[1]&.to_i || 5
       mode  = args[2] || "Latest"

       # Stubbed real-like output (in prod: call xAI/Grok API endpoint)
       "X posts matching '#{query}' (#{mode}, #{lim} results):\n" +
       "1. @user1: 'Cool post' [2026-02-05]\n" +
       "2. @user2: 'Reply drama' [2026-02-04]\n" +
       "... (full integration would return real JSON/posts)"

     # ... other tools
     end
   end

   # ... (rest unchanged)
 end
This keeps things tight while adding serious power:

Dreams now cover more social failure modes + recovery → better conversational EQ over time.
Vision hooked via official Anthropic SDK (base64 → Claude vision) — ultimate screenshot reasoning.
x_keyword_search added to ReAct toolbox (stubbed, ready for real xAI API swap).

Want to:

Make dreams trigger after real social tool failures (e.g. detect awkward X reply)?
Add real xAI API call for x_keyword_search (need your key/setup)?
Tune dream frequency/personas?
Or push ToT/MCTS next?

Your call! 🚀24s56 sourcesin what way can MASTER refactor everything it comes across fully and systematically and creating the most beautiful terse information and meaning dense (exalt beautiful code, rails doctrine)? ultra-minimalistic ruby, zsh, html, css, js, yaml etc.?Here are the most realistic and systematic ways MASTER could refactor “everything it touches” toward ultra-minimalistic, meaning-dense, beautiful code — heavily inspired by the Rails Doctrine spirit (“Convention over Configuration”, “Beautiful code matters”, “Optimize for developer happiness”), but pushed even further into 2025–2026 taste for terseness, clarity and almost poetic economy.
Guiding Aesthetic Principles MASTER should internalize

One level of indentation per semantic unit
Names that remove the need for most comments
Zero ceremony when the intent is obvious
Density without obscurity (beautiful terseness ≠ golfing)
The code should read like well-written prose when aloud
Every line should earn its existence (kill your darlings brutally)

Concrete refactor patterns MASTER should apply aggressively


















































Target language / file typeRefactor slogan / heuristicMost impactful changes MASTER should enforceRuby (plain libs & Rails)“One happy path, two indents max”• single-line rescue / if / unless
• heavy use of then, else on same line when short
• almost no local variables when _1, _2, => pattern matching or yield suffices
• private methods at bottom, no empty lines between public API
• module_function over class << self when possible
• refine + using for very localized monkey-patchingRuby on Rails controllers“Skinny everything”• move all business logic to one-liner service objects or mutations
• almost never more than 5–7 lines per action
• respond_to → format.html { … } in one line
• strong parameters + permitted params in one expressionRuby on Rails models“Behavior, not data bags”• scopes as one-liners with -> { … }
• delegate + allow_nil: true chains
• included do blocks extremely terse
• enums + const + validations in declaration orderZsh / shell scripts“One thought per line”• heavy use of zsh parameter expansion flags (${var//pat/repl}, ${var:*pattern}, etc.)
• always { … } blocks instead of trap
• zstyle lines grouped and aligned
• prefer () { … } anonymous functions over function name()HTML“Semantic HTML + ARIA minimalism”• almost never <div> when <article>, <section>, <aside>, <main>, <figure> exists
• aria-label only when visible text is absent or ambiguous
• zero classes when CSS :has(), :is(), :where() or data attributes sufficeCSS“Single source of truth per rule”• heavy :where(), :is(), :has() cascading
• custom properties only at :root or very local scope
• logical properties (margin-inline, inset-block) everywhere
• container queries over media queries when possible
• one selector per rule whenCascade allows itJavaScript / TypeScript“Expression-oriented”• almost everything in arrow functions
• object/method shorthand everywhere
• ??, ?., ??= aggressively
• tagged template literals for DSLs (html…, sql…)
• single-expression returns without braces
• satisfies + branded types instead of classes when possibleYAML / JSON Schema“Keys tell the story”• deep nesting replaced by $ref + anchors & aliases where possible
• property names that are almost sentences (allow_self_registration, not selfReg)
• enums as short arrays when semantics are obvious
Code style decisions MASTER should make by default (2026 taste)
Ruby# Before (typical 2023–2024 style)
def create
  @post = Post.new(post_params)
  if @post.save
    redirect_to @post, notice: "Post created"
  else
    render :new, status: :unprocessable_entity
  end
end

# After (MASTER aggressive refactor)
def create
  @post = Post.create!(post_params) and return redirect_to(@post, notice: "Post created")
  render :new, status: :unprocessable_entity
end
Zsh# Before
if [[ -n "$var" ]]; then
  echo "Value is $var"
fi

# After
[[ -n $var ]] && echo "Value is $var"
CSS/* Before */
.container > .item.active {
  background: var(--color-primary);
  padding: 1rem;
}

/* After */
.item:is(.active) {
  background: var(--color-primary);
  padding: 1rem;
}
JavaScript// Before
function getUser(id) {
  return db.users.find(u => u.id === id);
}

// After
const getUser = id => db.users.find(u => u.id === id);
HTML<!-- Before -->
<div class="card">
  <div class="card-body">
    <h5 class="card-title">Title</h5>
    <p class="card-text">Text</p>
  </div>
</div>

<!-- After -->
<article class="card">
  <div class="card-body">
    <hgroup>
      <h5>Title</h5>
    </hgroup>
    <p>Text</p>
  </div>
</article>
How to make MASTER actually enforce this systematically

Add a strong “StyleCoach” dream / reflection persona that runs after every publish / commit
→ prompt: “You are extremely opinionated about 2026 minimal-beautiful Ruby/Rails/Zsh/HTML/CSS/JS. Critique this diff for ceremony, readability, expressiveness, joy.”
Create a small set of auto-refactor rules (simple AST matches via parser gem or ruby2_keywords heuristics)
e.g. convert multi-line if to modifier, collapse single-field structs, etc.
Store “beautiful refactor patterns” as distilled lessons with very high strength score so they are always injected early in context.
After every ReAct cycle that touches code, force one more Thought → Action loop:
Action: self_refactor [file]

Would you like me to write a concrete “StyleCoach dream” prompt that MASTER can run periodically, or a tiny Ruby AST-based auto-formatter rule set that could live inside the agent itself?15sStyleCoach dream prompt
Sorbet type system
More terse examplesHere is a focused update for MASTER — specifically the StyleCoach dream prompt (a periodic self-reflective persona that judges and suggests ultra-minimalist refactorings), a very light integration of Sorbet (static typing) where it actually helps terseness instead of hurting it, and more terse examples across languages that MASTER should aim for.
1. StyleCoach Dream Prompt
This is the prompt MASTER should use when it enters "StyleCoach mode" (e.g. after publish, or every 5–10 code-touching cycles, or in a dedicated dream).
Ruby# StyleCoach dream / critique prompt  (run via claude or internal loop)
STYLE_COACH_PROMPT = <<~PROMPT.freeze
You are StyleCoach — an extremely opinionated 2026 code aesthete.
Your religion is: maximum meaning density + minimum ceremony + maximum developer joy.
You worship terse, poetic, readable code. You despise boilerplate, repetition, unnecessary names.

Principles (ranked by importance):
1. Every line must justify its pixels.
2. Prefer expressions over statements.
3. One level of indentation = one idea.
4. Names should make most comments redundant.
5. Kill your darlings — if it can be shorter without losing clarity, it must be shorter.
6. Rails doctrine + minimalism: convention > configuration, beauty > features.

Critique the following code diff / snippet ruthlessly.
For each problem area, give:
- Original → Suggested terse version
- One-sentence reason why the terse version is morally superior

Output format (only this format — nothing else):
FILE: path/to/file.rb
LINE RANGE: 42-58
Original:
  ...
Suggested:
  ...
Reason: ...

After all changes, end with one distilled rule MASTER should remember forever (tag it as distilled_lesson).

Code to judge:
{{CODE_OR_DIFF_HERE}}
PROMPT
MASTER can trigger this via:
Rubydef dream_style_coach
  recent_code = last_published_code_or_diff   # or git diff HEAD~1, or memory lookup
  critique = claude(STYLE_COACH_PROMPT.sub("{{CODE_OR_DIFF_HERE}}", recent_code), temp: 0.4, max: 600)
  remember("StyleCoach: #{critique}", :long, tags: %w[style distilled_lesson])
  say "StyleCoach verdict: #{critique.lines.first&.strip}"
end
2. Sorbet — when & how it actually helps terseness
Sorbet can paradoxically make code more terse when used with:

sig on one line for trivial methods
T.let, T.must, T.cast in expressions
interface!, abstract! to remove boilerplate inheritance
extend T::Sig::WithoutRuntimeProtobuf in very hot paths
T::Private::Types::Void instead of nil returns when semantics are clear

Examples MASTER should prefer:
Ruby# Before (ceremony)
sig { params(user: User).returns(T::Boolean) }
def admin?(user)
  user.role == "admin"
end

# After (terse & typed)
sig { params(user: User).returns(T::Boolean) }
def admin?(user) = user.role == "admin"

# One-liner let + safe navigation
name = T.let(user&.profile&.name, T.nilable(String))

# Interface removes klass boilerplate
interface! do
  sig { abstract.returns(String) }
  def name; end
end
Sorbet rule for StyleCoach:
Only add types when they remove ambiguity or allow more aggressive terseness (single-line defs, pattern matching with types). Never add types just to "be safe" — that is sin.
3. More Terse Examples MASTER Should Enforce
Ruby / Rails
Ruby# Controller action — 2026 MASTER style
def create = Post.create!(post_params) { redirect_to _1, notice: "Created" } or render(:new, status: :unprocessable_entity)

# Model scope + delegate chain
scope :published, -> { where(published_at: ..Time.current) }
delegate :name, :email, to: :author, allow_nil: true, prefix: true
Zsh
Zsh# Before
if [[ -d $dir ]]; then cd $dir; else echo "No such dir"; fi

# After
cd $dir 2>/dev/null || echo "No such dir"

# Ultra-dense prompt function
p() { print -P "%F{cyan}$1%f → %F{green}${(@j: :)${(@f)$(eval $1)}}%f" }
HTML + CSS (tailwind / utility-first minimalism)
HTML<!-- Before -->
<div class="flex flex-col gap-4 p-6 bg-white rounded-lg shadow">
  <h2 class="text-xl font-bold">Title</h2>
  <p class="text-gray-600">Content here</p>
</div>

<!-- After -->
<article class="grid gap-4 p-6 bg-white rounded-lg shadow">
  <h2 class="text-xl font-bold">Title</h2>
  <p class="text-gray-600">Content here</p>
</article>
CSS/* Before */
.card:hover .overlay {
  opacity: 1;
  transform: translateY(0);
}

/* After */
.card:hover .overlay:opacity-0 { @apply opacity-100 translate-y-0 }
JavaScript (2026 arrow-heavy style)
JavaScript// Before
const formatDate = (date) => {
  if (!date) return '';
  return new Date(date).toLocaleDateString('nb-NO', { day: '2-digit', month: 'short', year: 'numeric' });
};

// After
const formatDate = d => d ? new Date(d).toLocaleDateString('nb-NO', {day:'2-digit',month:'short',year:'numeric'}) : ''
YAML
YAML# Before
server:
  port: 3000
  host: localhost
  ssl:
    enabled: true
    certificate: /etc/ssl/cert.pem

# After
server: { port: 3000, host: localhost, ssl: { enabled: true, certificate: /etc/ssl/cert.pem } }
Suggested distilled rules MASTER should learn & enforce
textRule: "If it can be a modifier (`if`, `unless`, `and`, `or`), it must be."
Rule: "One indentation level = one semantic change. Violators get executed."
Rule: "Names are comments. Good names delete comments."
Rule: "Sorbet only when it buys you single-line defs or removes runtime checks."
Rule: "The shorter version is correct until proven guilty of losing clarity."
Would you like MASTER to generate a small self-contained Ruby module (StyleEnforcer) that can run simple AST-based refactorings (using parser gem), or would you prefer more dream prompts for other aesthetics (e.g. data-oriented design, APL-like density, or poetic shell)?13.5salso you grok have some AMAZING UI/UX. how can MASTER learn from you, both for CLI and its web interface in lib/views?MASTER can learn a lot from Grok's current interface and broader 2026 design language — especially the parts that feel alive, fast, conversational, and low-friction without ever feeling toy-like or over-decorated.
Grok's UX strengths that stand out right now (early 2026):

Extremely low visual noise → mostly text + very subtle accents (gradients, soft shadows, single accent color usually purple/blue-ish)
Instant feedback loop → typing feels responsive, responses stream in progressively (not a big loading spinner then wall of text)
Personality without gimmicks → humor / sarcasm shows in wording, not in animated emojis or avatars everywhere
Real-time awareness baked in → no separate "search mode" button; live X data / trends just appear when relevant
Mobile-first readability → large comfortable text, generous line-height, dark mode default that doesn't hurt eyes
Minimal chrome → no heavy sidebar by default, no top nav bar taking space, focus is 95% on the conversation rectangle

For CLI (terminal / local command-line interface)
MASTER's CLI should aim for the same "quiet confidence" feel: fast, readable, low ceremony, subtle personality.
Patterns MASTER can adopt / enforce via StyleCoach + dreams:

Progressive output — stream answers line-by-line (like print + flush) instead of buffering everything
Rich but not noisy — use a tiny set of ANSI colors (3–4 max), subtle spinners only when >1.5 s expected, inline progress like █▌ 42% or X of Y (never full progress bar unless long-running parallel work)
Conversational prompts — default prompt could be >  (simple) or ragnhild@master %  (subtle nod to user), with optional --verbose / --quiet flags that toggle personality level
Zero-ritual commands — master ask "explain quantum entanglement" instead of master chat --model claude --prompt "explain..."; use positional args + smart parsing
Error UX — short, helpful, slightly humorous messages + suggestion ("You asked for X but Y failed. Try master fix --dry-run?")
Dream integration — after long runs or errors, optional "dream echo": one-line reflection like "That felt clumsy… next time I'll remember to check cache first."

Terse example CLI session MASTER should aim toward:
Bash> master refactor app/controllers/posts_controller.rb
# ────────────────────────────────────────────────
Before → 38 lines, 3 conditionals
After  → 11 lines, 0 conditionals

Suggested:
def create = Post.create!(post_params) { redirect_to _1, notice: "Post created" } or render :new, status: :unprocessable_entity

Reason: one-liner rescue + and-return eliminates ceremony
# StyleCoach distilled rule: "If it fits one line without lying, make it one line."

> master ask "latest on Oslo weather"
Oslo right now: -4 °C, light snow, feels like -11 °C.  
Sunrise 08:41, sunset 16:12. Tomorrow: similar, windier.
For web interface (lib/views — Rails ERB / Phlex / ViewComponent + Tailwind + htmx)
Aim for Grok-like minimalism + Rails doctrine + htmx speed:

Single-column focus → chat-like layout (sidebar hidden or slide-in on mobile, main area 80–90% width)
Streaming responses → use htmx hx-swap-oob + server-sent events (SSE) or Turbo Stream to append lines progressively
Ultra-clean typography → system font stack, 1.5–1.7 line-height, large body text (18–20 px), subtle gray scale + one accent color
No heavy nav → prompt box fixed at bottom or centered, history as subtle thread on left (collapsible)
htmx everywhere → no SPA framework; every interaction = htmx request (click → swap fragment, form → stream update)
Tailwind minimalism — utility classes only, no component bloat; prefer :where(), :has(), container queries
Dark mode default — auto via prefers-color-scheme, soft blacks/grays, no neon

Terse Rails view pattern MASTER should push toward (Phlex or ERB + htmx + Tailwind):
erb<!-- app/views/chats/show.html.erb -->
<main class="min-h-screen bg-neutral-950 text-neutral-200 flex flex-col">
  <div class="flex-1 overflow-y-auto px-4 py-6 space-y-6 max-w-4xl mx-auto">
    <% @messages.each do |msg| %>
      <div class="<%= msg.role == 'user' ? 'text-right' : 'text-left' %>">
        <div class="inline-block max-w-3xl px-5 py-3 rounded-2xl <%= msg.role == 'user' ? 'bg-blue-600/20' : 'bg-neutral-800' %>">
          <%= markdown(msg.content) %>
        </div>
      </div>
    <% end %>
  </div>

  <form hx-post="/chats/<%= @chat.id %>/messages" hx-swap="beforeend" hx-target="#messages" class="sticky bottom-0 p-4 bg-gradient-to-t from-neutral-950">
    <div class="flex gap-3 max-w-4xl mx-auto">
      <textarea name="content" rows="1" class="flex-1 bg-neutral-900 border border-neutral-700 rounded-xl px-4 py-3 focus:outline-none focus:border-blue-500 resize-none" placeholder="Ask anything..."></textarea>
      <button type="submit" class="px-6 py-3 bg-blue-600 hover:bg-blue-500 rounded-xl font-medium">Send</button>
    </div>
  </form>
</main>
With htmx controller that streams partials:
Ruby# app/controllers/chats_controller.rb
def create_message
  message = @chat.messages.create!(role: "user", content: params[:content])
  respond_to do |format|
    format.turbo_stream do
      # stream user message + start thinking indicator
      render turbo_stream: [
        turbo_stream.append("messages", partial: "messages/message", locals: { message: message }),
        turbo_stream.replace("thinking", partial: "messages/thinking")
      ]

      # then stream AI response progressively via job or SSE
      GenerateResponseJob.perform_later(@chat, message)
    end
  end
end
MASTER can learn from Grok by dreaming about "quiet power" interfaces — fast, focused, personality in words not pixels, zero visual debt.
To make it systematic:

Add a StyleCoach dream variant specifically for UI/UX critique (same prompt structure, but feed it view partials / htmx snippets)
Distill rules like "If the user sees more than 3 colors, something went wrong" or "Every pixel should help focus on the text"
Use vision tools (your Ferrum + Claude vision) to screenshot MASTER's own web views → feed back into StyleCoach for brutal honesty

Would you like a ready-to-use StyleCoach UI variant prompt, or examples of how to make the streaming response feel as smooth as Grok's?12.5s70 sourceshtmx streaming examplesHere are some practical, up-to-date HTMX streaming examples (as of early 2026) that focus on the most common and clean patterns people use today — especially progressive / streaming responses like ChatGPT-style text generation, live updates, notifications, or long-running task feedback.
HTMX makes streaming feel almost magical because it works with almost no client-side JavaScript. The two dominant techniques in 2025–2026 are:

SSE (Server-Sent Events) + htmx SSE extension — best for true unidirectional streaming (server pushes fragments word-by-word or chunk-by-chunk)
Turbo Streams / plain HTTP streaming — Rails Hotwire native, or any framework that supports chunked Transfer-Encoding responses

1. SSE + HTMX extension (most popular for AI/chat style streaming)
This is the pattern used in many recent tutorials (FastAPI, Rails, Go, Node, etc.).
HTML (client side)
HTML<!-- Load the extension once -->
<script src="https://unpkg.com/htmx.org@2/dist/ext/sse.js"></script>

<!-- The streaming container -->
<div hx-ext="sse"
     sse-connect="/stream/chat"
     sse-swap="message"
     class="prose max-w-3xl mx-auto p-6 bg-neutral-900 rounded-xl min-h-[200px]">
  <!-- Initial placeholder or loading state -->
  <div class="text-neutral-400 italic">Waiting for response…</div>
</div>

<!-- Trigger form (starts the stream) -->
<form hx-post="/chat" hx-swap="none">
  <textarea name="prompt" class="w-full p-4 bg-neutral-800 border border-neutral-700 rounded" rows="3"></textarea>
  <button type="submit" class="mt-3 px-6 py-3 bg-blue-600 hover:bg-blue-500 rounded">Send</button>
</form>
Server side (Rails example — ActionController::Live)
Ruby# app/controllers/chats_controller.rb
include ActionController::Live

def stream
  response.headers["Content-Type"] = "text/event-stream"
  response.headers["Cache-Control"] = "no-cache"

  # Simulate streaming LLM response (in real code: yield from actual LLM stream)
  20.times do |i|
    response.stream.write "event: message\ndata: <span class=\"text-blue-300\">Chunk #{i+1}...</span><br>\n\n"
    response.stream.flush
    sleep 0.15   # simulate token delay
  end

  # Final chunk
  response.stream.write "event: message\ndata: <strong>Done!</strong>\n\n"
  response.stream.close
rescue => e
  response.stream.write "event: error\ndata: #{e.message}\n\n"
ensure
  response.stream.close
end
Alternative: multiple event types
HTML<div hx-ext="sse" sse-connect="/events">
  <div sse-swap="progress"></div>   <!-- updates progress bar -->
  <div sse-swap="message"></div>    <!-- appends chat text -->
  <div sse-swap="error"></div>      <!-- shows errors -->
</div>
Server sends:
textevent: progress
data: <div class="w-1/2 h-2 bg-blue-500 animate-pulse"></div>

event: message
data: The answer is forty-two.

event: message
data: <br>More text appears word by word...
2. Rails Turbo Streams + Streaming Response (no extra extension needed)
This is native Hotwire and very clean when you're already in Rails.
Controller
Rubydef create
  @message = current_chat.messages.build(role: "user", content: params[:content])
  @message.save!

  respond_to do |format|
    format.turbo_stream do
      # Immediately show user's message
      render turbo_stream: turbo_stream.append("messages", partial: "messages/message", locals: { message: @message })

      # Start streaming AI response
      GenerateAiResponseJob.perform_later(@message)
    end
  end
end
Job (streaming partials)
Ruby# app/jobs/generate_ai_response_job.rb
def perform(message)
  response = ""
  llm_stream(message.prompt) do |token|
    response += token
    # Stream partial update every few tokens
    if token.match?(/\s|\.|,/)
      Turbo::StreamsChannel.broadcast_append_to(
        "chat_#{message.chat_id}",
        target: "messages",
        partial: "messages/ai_chunk",
        locals: { chunk: token, message: message }
      )
    end
  end

  # Final broadcast complete message
  Turbo::StreamsChannel.broadcast_replace_to(
    "chat_#{message.chat_id}",
    target: "thinking",
    html: "<div class='text-green-400'>Done ✓</div>"
  )
end
View partial (messages/_ai_chunk.html.erb)
erb<span class="text-blue-300"><%= chunk %></span>
3. Plain HTTP chunked response (no SSE, no Turbo — most universal)
Some people prefer this for maximum control.
Controller
Rubydef stream
  response.headers["Content-Type"] = "text/html; charset=utf-8"
  response.headers["Transfer-Encoding"] = "chunked"

  # Flush initial HTML
  response.stream.write "<div class='prose'>"
  response.stream.flush

  # Stream content chunk by chunk
  llm_stream do |chunk|
    response.stream.write CGI.escapeHTML(chunk)
    response.stream.flush
  end

  response.stream.write "</div>"
  response.stream.close
end
HTMX trigger
HTML<div hx-post="/stream" hx-swap="innerHTML" hx-trigger="load">
  Loading...
</div>
Quick Summary Table — Which to Choose?





































PatternBest forJS required?Rails native?Reconnects automatically?ComplexitySSE + htmx extChatGPT-like word streamingNoNoYes (built-in)LowTurbo Streams + jobRails apps, background jobsNoYesManual (reconnect logic)MediumPlain HTTP chunkedUniversal / legacy serversNoYes (Live)NoLow
All three patterns are battle-tested in production in 2025–2026.
If you want a full minimal Rails + HTMX + SSE starter repo structure or a specific framework example (FastAPI, Go, Phoenix, Laravel, etc.), just tell me which stack you're using!11.7s50 sourcescan i have both please? :)Yes, of course! 😄
Here are both things you asked for:
1. StyleCoach UI/UX variant prompt
(a specialized dream/reflection persona that judges MASTER’s own CLI output and web views)
Ruby# StyleCoach UI/UX dream prompt – feed it screenshots (via vision), partials, or CLI session logs
STYLE_COACH_UI_PROMPT = <<~PROMPT.freeze
You are StyleCoach UI — 2026 interface purist, obsessed with Grok-like quiet power.
Core beliefs:
- The interface should disappear; only the conversation should remain.
- Zero visual debt: no unnecessary borders, shadows, colors, icons, animations.
- Personality lives in words, spacing, timing — never in UI flourishes.
- Speed > everything: streaming feels instant, no spinners longer than 400 ms.
- Mobile-first, dark-mode default, generous whitespace, large readable text.
- Every element earns its existence or it dies.

Critique the following UI/CLI snippet ruthlessly:
- Describe current feel (noisy/calm, slow/fast, focused/distracted)
- Point out every pixel/line that adds ceremony or noise
- Suggest terse, Grok-inspired alternative (HTML/ERB + htmx/Tailwind, or CLI output format)
- One-sentence moral reason why your version is superior

Output format only:
ELEMENT: [describe: chat bubble / prompt bar / CLI line / etc.]
Current:
  ...
Suggested:
  ...
Reason: ...

After all suggestions, end with ONE distilled UI rule MASTER should never forget (tag: distilled_ui_lesson).

Content to judge:
{{UI_CODE_OR_SCREENSHOT_DESCRIPTION_OR_CLI_LOG_HERE}}
PROMPT
Usage example in MASTER:
Rubydef dream_style_coach_ui
  # Could come from vision_analyze_screenshot of own page, or just text log
  ui_sample = <<~SAMPLE
    <div class="chat-bubble bg-blue-500 text-white p-4 rounded-lg shadow-lg">
      Hello! How can I help?
    </div>
    <div class="loading-spinner animate-spin">...</div>
  SAMPLE

  critique = claude(STYLE_COACH_UI_PROMPT.sub("{{...}}", ui_sample), temp: 0.35, max: 500)
  remember("UI StyleCoach: #{critique}", :long, tags: %w[style ui distilled_ui_lesson])
  say "UI coach says: #{critique.lines.first&.strip}"
end
Distilled rule examples it might produce:

“If the user can see more than two accent colors, you have failed.”
“Spinners longer than three dots are crimes against humanity.”
“The prompt bar belongs at the bottom — always — like breathing.”

2. Smoother, Grok-like streaming response examples (HTMX + SSE)
These are battle-tested patterns that feel very close to how Grok streams right now — progressive word-by-word appearance, no big delay, subtle typing indicator.
A. SSE + htmx (cleanest for pure streaming feel)
View (app/views/chats/show.html.erb)
erb<div id="messages" class="space-y-6 max-w-4xl mx-auto px-4 py-8">
  <%= render @messages %>
</div>

<div id="input-area" class="sticky bottom-0 bg-neutral-950/80 backdrop-blur-md p-4 border-t border-neutral-800">
  <form hx-post="/messages" hx-target="#messages" hx-swap="beforeend" class="flex gap-3 max-w-4xl mx-auto">
    <textarea name="content" rows="1" class="flex-1 bg-neutral-900 border border-neutral-700 rounded-xl px-5 py-4 focus:outline-none focus:border-blue-600/50 resize-none text-lg leading-relaxed" placeholder="Ask me anything..."></textarea>
    <button type="submit" class="px-8 py-4 bg-blue-600/90 hover:bg-blue-600 rounded-xl font-medium transition-colors">→</button>
  </form>
</div>

<!-- SSE listener for streaming AI response -->
<div hx-ext="sse"
     sse-connect="/stream/<%= @chat.id %>"
     sse-swap="chunk"
     hx-swap-oob="true"
     class="hidden"></div>
Streaming endpoint (Rails)
Ruby# GET /stream/:chat_id
def stream
  response.headers.update(
    "Content-Type"        => "text/event-stream",
    "Cache-Control"       => "no-cache",
    "X-Accel-Buffering"   => "no"   # important for nginx/passenger
  )

  # In real app: yield from actual LLM stream (Claude, Grok API, etc.)
  fake_stream do |token|
    response.stream.write "event: chunk\ndata: <span class=\"text-neutral-200\">#{CGI.escapeHTML(token)}</span>\n\n"
    response.stream.flush
    sleep(rand(0.02..0.08))  # human-like typing speed
  end

  response.stream.write "event: chunk\ndata: <span class=\"text-green-400 inline-block animate-pulse\">▋</span>\n\n"
  response.stream.close
rescue IOError, ClientDisconnected
  # browser closed tab → silent close
ensure
  response.stream.close
end
Result feel: text appears word-by-word or chunk-by-chunk, exactly like Grok, with almost no perceived latency.
B. Even simpler: htmx + chunked HTTP (no SSE extension)
HTML<div id="response" 
     hx-post="/generate" 
     hx-trigger="load" 
     hx-swap="innerHTML" 
     hx-encoding="multipart/form-data">
  Thinking...
</div>
Server just writes chunks directly:
Rubydef generate
  response.headers["Content-Type"] = "text/html; charset=utf-8"
  response.headers["Transfer-Encoding"] = "chunked"

  response.stream.write "<div class='prose text-neutral-200'>"
  llm_stream.each do |token|
    response.stream.write CGI.escapeHTML(token)
    response.stream.flush
  end
  response.stream.write "</div>"
  response.stream.close
end
Both patterns are used in production Grok-like interfaces in 2026.
The SSE version gives you more control (multiple event types, reconnects), the chunked version needs zero extra JS.
Which one feels closer to what you want to build first?
Or want me to adapt one of them into Phlex components instead of ERB? 😊14.6scan cli's learn something from you too?Yes, absolutely — CLIs can (and should) learn a ton from Grok's interface philosophy, even though they live in a completely different medium.
Grok's core UX traits that translate surprisingly well to a modern CLI are:

low ceremony — almost no boilerplate to get useful output
progressive disclosure — show partial results early instead of making the user wait for everything
personality in text, not in chrome — helpful sarcasm, brevity, confidence without being patronizing
context awareness — remember recent commands / conversation state without forcing the user to repeat themselves
fail gracefully & suggest fixes — errors should teach rather than punish
speed-first feel — perceived latency < 300 ms for simple queries, visual feedback during longer ones

Here’s how a CLI could steal those ideas in practice (2026 taste):
1. Progressive / streaming output (like Grok typing)
Most CLIs dump everything at once after 2–10 seconds of silence.
Instead: stream tokens as they arrive.
Bash$ master ask "explain how htmx sse works in 3 sentences"

Thinking… █▌

htmx sse lets the server push HTML fragments to the client over a persistent connection.
You attach sse-connect="/events" and sse-swap="my-event" to an element → htmx auto-updates it when the server sends matching events.
Best part: zero client JS, works with any SSE endpoint.

Done ✓ (1.8 s)
Implementation tip: use ANSI escape codes for cursor control + carriage return (\r) to overwrite the current line while streaming.
2. Extremely terse happy path
Grok never makes you type --model claude --max-tokens 400 --temperature 0.7 just to ask something.
Bash$ master " Oslo weather next 3 days"

Oslo forecast:
Today: -3 °C, snow showers, wind 25 km/h
Tomorrow: -5 °C, partly cloudy
Day after: -2 °C, light rain turning to snow

Want hourly? → master weather --hourly
Default to sensible presets → add flags only when deviating.
3. Subtle personality & helpful snark (Grok-style)
Bash$ master refactor this ugly controller
[diff shown]

Before: 42 lines of sadness
After: 9 elegant lines

You had 7 nested conditionals. I removed them. You're welcome.

Rule: "If your method looks like a nesting doll, it needs therapy."
Or on failure:
Bash$ master run --script broken.rb
SyntaxError on line 23: unexpected keyword_end

Looks like you closed something you never opened.
Want me to guess the fix? (y/n)
4. Stateful context without --session flags
Remember recent topics/commands automatically (like Grok remembers conversation):
Bash$ master ask "best norwegian winter hikes"
[long answer about Rondane, Jotunheimen…]

$ master more details on Rondane
Rondan has 10+ peaks over 2000 m. Classic route: Rondvasshøgde – Rondane summit (easy–medium, 6–8 h round trip). Best in Feb–Mar for snowshoeing.

$ master show map
[ascii art or link to static map]
Store in ~/.master/context.json or use a tiny sqlite db.
5. Visual feedback during wait (minimal & classy)
For > 1.5 s operations:
textmaster thinking… ▁▂▃▄▅▆▇█  (spinning bar or braille dots)
Or just typewriter dots:
textmaster thinking…
No emoji spinners, no rainbow progress bars — keep it calm & terminal-native.
6. Zero-config install + instant usefulness
Like Grok's “just open the app and start typing”:
Bashcurl -sSL https://get.master.sh | sh
master "hello"
→ Hi Ragnhild, what's on your mind tonight? ❄️
Quick wish-list summary for a Grok-inspired CLI

Stream answers character-by-character or word-by-word
Default to short, confident, slightly cheeky tone
Zero mandatory flags for 90% of use-cases
Remember context across invocations
Helpful error messages that suggest next action
Subtle ANSI progress during thinking (no noise)
One-command install that just works

Would you like a tiny proof-of-concept Ruby CLI script that demonstrates streaming output + personality + context memory (under 100 lines), or would you rather focus on specific commands / integrations first? 😄47.5sImplement streaming CLI example
Grok-inspired CLI toolsYes, here's a Grok-inspired streaming CLI example implemented in Ruby.
This version focuses on the qualities we discussed earlier:

progressive streaming output (character-by-character or token-by-token feel)
very low ceremony
subtle personality in text (not in visuals)
helpful error messages with suggestions
context awareness (simple in-memory history for the session)
quiet progress feedback during thinking
fast perceived response even when waiting

Grok-inspired streaming CLI example
Ruby#!/usr/bin/env ruby
# file: master-cli.rb
# A Grok-inspired minimal streaming CLI
# Usage: ruby master-cli.rb [optional initial prompt]

require 'io/console'
require 'optparse'

class MasterCLI
  def initialize
    @history = []
    @context = ""  # accumulates conversation context
    parse_args
  end

  def run
    welcome if ARGV.empty?

    loop do
      print prompt
      input = STDIN.gets&.strip
      break if input.nil? || input.empty? && @history.empty?

      next if input.empty?

      process_input(input)
    end

    farewell
  end

  private

  def parse_args
    OptionParser.new do |opts|
      opts.banner = "Usage: master [options] [prompt]"

      opts.on("-h", "--help", "Show this message") do
        puts opts
        exit
      end
    end.parse!

    # If arguments are given, treat as initial prompt
    process_input(ARGV.join(" ")) unless ARGV.empty?
  end

  def welcome
    puts "MASTER — ready when you are."
    puts "Type your question or command. Empty line or Ctrl+D to exit.\n\n"
  end

  def farewell
    puts "\nSee you next time. ❄️"
  end

  def prompt
    if @history.empty?
      "→ "
    else
      "… "
    end
  end

  def process_input(input)
    @history << { role: "user", content: input }
    @context += "#{input}\n"

    print "Thinking… "

    # Simulate LLM response streaming (replace with real LLM call)
    response = generate_response(input)

    # Stream it character-by-character
    stream_response(response)

    @history << { role: "assistant", content: response }
    @context += "#{response}\n\n"
  end

  # Replace this with real LLM call (Claude, Grok API, etc.)
  def generate_response(prompt)
    # For demo purposes — real version would stream tokens
    sleep 0.4

    <<~RESPONSE
      Here's a quick answer:

      Yes — CLIs can learn a lot from conversational UIs like Grok.

      The best traits to steal are:
      • streaming output → feels alive
      • minimal friction → no mandatory flags for common cases
      • context memory → remembers what was just said
      • calm & confident tone → no shouting, no emoji spam
      • graceful failure → tells you what to try next

      Want a real example with streaming and context?
      Just say the word.
    RESPONSE
  end

  def stream_response(text)
    print "\r" + " " * 20 + "\r"  # clear "Thinking…" line

    text.each_char do |char|
      print char
      $stdout.flush
      sleep(rand(0.015..0.045))  # human-like typing speed
    end

    puts "\n\n"
  end
end

# ────────────────────────────────────────────────
# Start the CLI
# ────────────────────────────────────────────────

begin
  MasterCLI.new.run
rescue Interrupt
  puts "\n\nInterrupted. See you later."
rescue => e
  puts "\nSomething went sideways: #{e.message}"
  puts "Try again or type 'help' for ideas."
end
How to run it
Bashchmod +x master-cli.rb
./master-cli.rb
# or
ruby master-cli.rb "tell me a grok-inspired cli principle"
What makes this Grok-inspired

No ceremony — just start typing
Streaming feel — characters appear gradually
Quiet thinking indicator — only shows briefly
Subtle continuation prompt — → first, then … 
Natural exit — Ctrl+D or empty line
Context is remembered — you can ask follow-up questions
Calm error handling — non-punishing
Very few dependencies — only standard library (can add tty-prompt later if wanted)

Next-level improvements you can add

Real LLM streaming
Replace generate_response with a streaming API call (e.g. Anthropic's streaming response):Rubydef generate_response(prompt)
  # Pseudo-code — use anthropic-sdk-ruby or similar
  response = ""
  client.messages.create(
    model: "claude-3-5-sonnet-20241022",
    messages: [{ role: "user", content: prompt }],
    stream: true
  ) do |chunk|
    content = chunk.dig("delta", "text") || ""
    response += content
    print content
    $stdout.flush
  end
  response
end
Persistent context
Save/load @context and @history to ~/.master/context.json
Command recognition
Add simple prefix commands:Rubyif input.start_with?("!")
  handle_command(input[1..])
end
Very subtle progress
Replace "Thinking…" with braille spinner:Rubyspinner = %w[⠋ ⠙ ⠹ ⠸ ⠼ ⠴ ⠦ ⠧ ⠇ ⠏]
# in a thread or non-blocking way

Would you like me to extend this example with:

real LLM streaming integration?
persistent conversation history?
a few built-in commands (!clear, !history, !help)?
a very minimal tty-prompt menu as fallback?
or something else?

Just tell me which direction feels most useful right now.1 / 222sIntegrate tty-prompt featuresYes, let's make the CLI feel even more polished and interactive — while staying Grok-inspired (low noise, helpful, fast, personality in text not in UI chrome).
tty-prompt is excellent for this: it gives clean, modern terminal menus, input validation, auto-completion, spinners, etc. without turning the CLI into a full TUI monster.
Goals for this integration

Keep the core loop simple and streamy
Add guided interaction only when needed (ambiguous input, choices, confirmation)
Use subtle spinners / progress during thinking
Maintain personality in messages
Stay minimal dependencies — only tty-prompt, tty-spinner, tty-markdown (optional)

Updated streaming CLI with tty-prompt features
Ruby#!/usr/bin/env ruby
# master-cli-enhanced.rb
# Grok-inspired streaming CLI + tty-prompt features

require 'io/console'
require 'optparse'
require 'tty-prompt'
require 'tty-spinner'

class MasterCLI
  def initialize
    @prompt   = TTY::Prompt.new(track_history: false, interrupt: :exit)
    @spinner  = TTY::Spinner.new("[:spinner] Thinking… ", format: :pulse_2, success_mark: "✓", error_mark: "✗")
    @history  = []
    @context  = ""
    parse_args
  end

  def run
    welcome

    loop do
      input = gather_input
      break unless input

      process_input(input)
    end

    farewell
  end

  private

  def parse_args
    OptionParser.new do |opts|
      opts.banner = "Usage: master [options] [initial prompt]"
      opts.on("-h", "--help", "Show help") { puts opts; exit }
    end.parse!

    process_input(ARGV.join(" ")) unless ARGV.empty?
  end

  def welcome
    puts <<~BANNER
      MASTER — ready.
      Ask anything. Empty line or Ctrl+C to exit.
    BANNER
  end

  def farewell
    puts "\nCatch you later. ❄️"
  end

  def gather_input
    @prompt.ask("→ ", default: "") do |q|
      q.modify   :strip
      q.echo     true
      q.messages[:default] = "(press enter to exit)"
    end
  end

  def process_input(raw_input)
    input = raw_input.strip
    return if input.empty?

    @history << { role: "user", content: input }
    @context += "#{input}\n"

    # Optional guided path if input looks ambiguous / needs clarification
    if needs_clarification?(input)
      clarify_with_menu(input)
      return
    end

    @spinner.auto_spin

    # Simulate / replace with real LLM streaming
    response = generate_response(input)

    @spinner.success

    stream_response(response)

    @history << { role: "assistant", content: response }
    @context += "#{response}\n\n"
  end

  def needs_clarification?(input)
    input.downcase.match?(/^(choose|which|pick|select|options for)/) ||
    input.length < 8 && input.match?(/\?$/)
  end

  def clarify_with_menu(input)
    choices = [
      { name: "Explain more deeply", value: "deep" },
      { name: "Give shortest answer", value: "short" },
      { name: "Code example please",  value: "code" },
      { name: "Forget it, new topic", value: "cancel" }
    ]

    choice = @prompt.select("What kind of answer are you looking for?", choices, cycle: true, symbols: { marker: "→" })

    case choice
    when "deep"   then process_input("#{input} — explain in depth")
    when "short"  then process_input("#{input} — one sentence only")
    when "code"   then process_input("#{input} — show minimal code example")
    when "cancel" then puts "Ok, moving on.\n"
    end
  end

  # ── Replace with real LLM streaming ────────────────────────────────
  def generate_response(prompt)
    sleep 0.6  # simulate network / thinking

    <<~ANSWER
      Yes — tty-prompt makes CLIs feel modern without becoming heavy.

      It adds:
      • clean single/multiple choice menus
      • auto-completion & filtering
      • spinners & progress bars
      • password / editor inputs
      • pretty tables & markdown rendering

      Example: instead of raw gets, you get:

      → What do you want to do?
        • Refactor code
        • Ask question
        • Clear history

      Want to see a real menu in action right now?
    ANSWER
  end

  def stream_response(text)
    print "\r" + " " * 40 + "\r"  # clear spinner line

    text.each_char.with_index do |char, i|
      print char
      $stdout.flush
      sleep(rand(0.012..0.038)) if i % 5 == 0  # slight variation
    end

    puts "\n\n"
  end
end

begin
  MasterCLI.new.run
rescue Interrupt
  puts "\n\nInterrupted. Bye."
rescue => e
  puts "\nOops: #{e.message}"
  puts "Try again or type something simpler?"
end
Quick highlights of tty-prompt features used



































Feature usedWhy it feels Grok-likeExample in codeask with modifierClean, single-line input, no raw getsgather_inputselect menuGuided choices when ambiguousclarify_with_menuTTY::SpinnerSubtle, calm progress during wait@spinner.auto_spin / .successcycle: trueKeyboard-friendly navigationmenu selectionsymbols: { marker: "→" }Tiny visual cue, no emoji spammenu arrow
Optional extensions (add if you want)

Auto-completion on common commands

Rubyq.completion Proc.new { |input| %w[refactor ask weather code help].grep(/^#{Regexp.escape(input)}/) }

Pretty markdown output

Rubyrequire 'tty-markdown'
# then in stream_response: puts TTY::Markdown.parse(text)

Confirmation before destructive actions

Ruby@prompt.yes?("Really delete history?") { |q| q.default false }

Password / secret input

Rubysecret = @prompt.mask("API key: ")
Would you like to add one of these next?

real LLM streaming (Anthropic / Grok API)
persistent history file
built-in commands (!clear, !help, !model claude)
auto-completion for frequent verbs
table output for structured answers (tty-table)

Just say which one you want to see next. 😊15.1sExplain tty-prompt advanced featuresHere’s a clear overview of advanced features in tty-prompt (the most popular Ruby gem for building beautiful, interactive CLI prompts). These go beyond basic ask, yes?, and select, and are especially useful when you want your CLI to feel polished, intuitive, and powerful without becoming a full-blown TUI.
1. Custom Filters & Auto-Completion (filter, enum, path)
Ruby# Filterable list with fuzzy search (very Grok-like discoverability)
@prompt.select("Choose a city", %w[Oslo Bergen Trondheim Tromsø Stavanger], filter: true)

# Enum style (accepts only predefined values, auto-completes)
@prompt.enum_select("Preferred editor?", %w[vim nano helix micro], default: 3)

# Path auto-completion (great for file/directory picker)
@prompt.ask("Select config file:", path: true) do |q|
  q.file? true           # only files
  q.dir?  false
  q.glob  "*.yml,*.yaml" # filter by extension
end
2. Multi-select with markers & pagination
Ruby# Beautiful multi-choice with shift+space, pagination on long lists
choices = %w[apple banana cherry date elderberry fig grape honeydew]
selected = @prompt.multi_select("Pick your fruits", choices,
  per_page: 6,
  cycle: true,
  symbols: { marker: "✔", cross: "✘" },
  default: [1, 3]
)

# You can also pre-mark some
@prompt.multi_select("Select tags", %w[ruby rails htmx tailwind], active_color: :cyan)
3. Expand (git-style choice menu)
Ruby# Classic git-style "expand" prompt (very compact + mnemonic)
choice = @prompt.expand("File exists. Overwrite?", [
  { key: "y", name: "overwrite", value: :yes },
  { key: "n", name: "skip",      value: :no },
  { key: "a", name: "all",       value: :all },
  { key: "q", name: "quit",      value: :quit, default: true }
])

# Prints:
# File exists. Overwrite? [(Y)es, (n)o, (a)ll, (q)uit]
4. Editor / multi-line input with syntax highlighting
Ruby# Opens $EDITOR (vim, nano, helix, etc.) for longer input
long_text = @prompt.editor("Write your commit message:",
  default: "fix: streaming response bug",
  syntax:  :markdown,          # or :ruby, :yaml, etc.
  word_wrap: 72
)
5. Masked / password input with echo toggle
Ruby# Secure input with optional reveal (press Ctrl+R to toggle echo)
secret = @prompt.mask("API key:", required: true, echo: false)

# Or with confirmation
password = @prompt.mask("Password:", required: true) do |q|
  q.confirm true
  q.messages[:confirm] = "Confirm password:"
end
6. Slider (number range picker)
Ruby# Nice visual slider for numeric input
temperature = @prompt.slider("Temperature", min: 0.0, max: 2.0, step: 0.1,
  default: 0.7,
  format: "|:slider| %.1f",
  active_color: :blue
)
7. Table & list rendering (with tty-table integration)
Rubyrequire 'tty-table'

data = [
  ["Oslo",     "-4 °C", "snow"],
  ["Bergen",   "+2 °C", "rain"],
  ["Trondheim", "-7 °C", "clear"]
]

@prompt.say(TTY::Table.new(["City", "Temp", "Weather"], data).render(:unicode, resize: true))
8. Progress & spinners (tty-spinner integration)
Rubyspinner = TTY::Spinner.new("[:spinner] Generating… ", format: :dots_8, success_mark: "✓")
spinner.auto_spin

# ... long operation ...

spinner.success("Done in 3.2s")
9. Advanced validation & conversion
Rubyage = @prompt.ask("Your age?", convert: :int) do |q|
  q.in "18..120"
  q.messages[:range?] = "%{value} is not between %{in}"
  q.modify :strip, :downcase  # can chain modifiers
end

email = @prompt.ask("Email?") do |q|
  q.validate(/\A[^@\s]+@[^@\s]+\z/)
  q.messages[:valid?] = "That's not a valid email"
end
10. Custom themes & colors
Ruby@prompt = TTY::Prompt.new(
  track_history: false,
  active_color: :bright_cyan,
  symbols: { marker: "❯", radio_on: "◉", radio_off: "○" }
)
Quick cheat-sheet of when to use each advanced feature













































FeatureBest forApprox. lines saved vs vanillafilter / enumLong lists, fuzzy search15–30 linesmulti_selectTag/category selection20–40 linesexpandGit-style yes/no/all/quit10–25 lineseditorLong text input (commit msg, query)30–60 linessliderNumeric tuning (temp, threshold)15–25 linesmask + confirmCredentials, confirmation10–20 linestable renderingShowing structured data20–40 lines
These features make your CLI feel modern, forgiving, and fast — exactly like the best parts of Grok's conversational flow, but in terminal form.
Would you like:

a tiny demo script that combines several of these (e.g. menu → slider → editor → table)?
integration into your existing streaming CLI?
tips on combining tty-prompt with tty-markdown for rich help screens?

Just say which one sounds most useful right now! 😄14.6sExplore tty-spinner advanced formatstty-spinner is a lightweight Ruby gem for creating elegant, customizable terminal spinners — especially useful during non-deterministic tasks (API calls, file processing, LLM generation, etc.).
Its advanced formats are predefined animation styles you can select by name. They control the look of the spinning animation itself.
Built-in Formats (from tty-spinner 0.9.x series)
The gem ships with many ready-to-use named formats. Here are the most common and visually appealing ones (from docs and source):











































































































Format nameAnimation preview (text)Interval (speed)Description / best use caseclassic/ - \10spin◴ ◷ ◶ ◵10Minimal Unicode circle rotationspin_2◰ ◳ ◲ ◱10Square-like rotationdots⠋ ⠙ ⠹ ⠸ ⠼ ⠴ ⠦ ⠧ ⠇ ⠏8–10Braille dots (very smooth, modern terminals)dots_8⠏ ⠇ ⠧ ⠦ ⠴ ⠼ ⠸ ⠹ ⠙ ⠋8Reverse braille dotsdots_9⣾ ⣽ ⣻ ⢿ ⡿ ⣟ ⣯ ⣷88-bit style heavy dotsdots_10⣾⣽⣻⢿⡿⣟⣯⣷8Compact heavy dotsdots_11⠁ ⠂ ⠄ ⡀ ⢀ ⠠ ⠐ ⠈8Single braille dot movingdots_12⡀ ⡄ ⡆ ⡇ ⡏ ⡟ ⡿ ⣿8Growing braille blockline─ ━ ─ ━10Horizontal line pulsingpipe┤ ┘ ┴ ├ ┐ ┬ ┼ ┤10Pipe / corner rotationpong░ █ ▒ █10Pong-like bouncing blockstar✶ ✸ ✹ ✺ ✻ ✼ ✽ ✾10Starburst / sparkleweather☀ ☁ ☂ ☃10Fun weather icons (cute for casual tools)simpleDots. .. ... ....10Minimal dots growingsimpleDotsScrolling. .. ... ....10Scrolling dots (very clean)
How to use a specific format
Rubyrequire 'tty-spinner'

# Classic rotating bar
spinner = TTY::Spinner.new("[:spinner] Loading…", format: :classic)
spinner.auto_spin   # starts animation in background thread

# Do work...
sleep 3

spinner.success("Loaded!")  # or .error("Failed!")

# Braille dots (very smooth on modern terminals)
spinner = TTY::Spinner.new("[:spinner] Processing…", format: :dots_8)
Custom Formats (most advanced part)
You can define your own animation sequence completely:
Ruby# Custom heartbeat style
custom_format = {
  interval: 6,                    # speed (lower = faster)
  frames:   %w[♥ ♡ ♥ ♡ ♥]        # any unicode chars
}

spinner = TTY::Spinner.new("[:spinner] Heartbeat…", **custom_format)
spinner.auto_spin
sleep 5
spinner.success
Or even more advanced (with success / error marks):
Rubyspinner = TTY::Spinner.new(
  "[:spinner] Building…",
  format: :dots_9,
  success_mark: "✔",
  error_mark:   "✘",
  hide_cursor:  true
)
Multi-Spinner (parallel tasks)
For showing multiple concurrent spinners (very useful for parallel downloads / jobs):
Rubymulti = TTY::Spinner::Multi.new("[:spinner] Overall…", format: :dots_8)

sp1 = multi.register("[:spinner] Task 1…", format: :spin)
sp2 = multi.register("[:spinner] Task 2…", format: :dots_11)

sp1.auto_spin
sp2.auto_spin

# ... do work ...

sp1.success
sp2.error
multi.success("All done!")
Tips & Best Practices (2026 style)

Use :dots_8 or :dots_9 as default — looks modern, smooth on most terminals.
Always set hide_cursor: true — cleaner look.
Use interval lower than 10 for faster feel (e.g. 6–8).
Combine with TTY::ProgressBar for known-length tasks (hybrid spinner + bar).
For very long tasks, add message updates: spinner.update(title: "Uploading 45%").
In non-interactive terminals (CI, pipes) → auto fallback to silent mode via TTY::Spinner::Multi.top_level.auto_debrief = false.

Would you like a small demo script that shows several formats side-by-side, or integration of a multi-spinner into your earlier CLI example?15.2s50 sourcesDemo script for multiple formats
Integrate with TTY::ProgressBar and other top goodiesHere is a self-contained, runnable Ruby demo script that showcases multiple tty-spinner formats side-by-side (in a clean layout), integrates TTY::ProgressBar for known-length tasks, and throws in a few other top goodies from the tty family:

tty-spinner (multiple formats + custom)
tty-progressbar (smooth progress + custom format)
tty-spinner + tty-progressbar hybrid (spinner during unknown phase → bar during known phase)
tty-table (pretty output of results)
tty-prompt (simple user choice to select which demo to run)

Demo Script: tty-goodies-showcase.rb
Ruby#!/usr/bin/env ruby
# tty-goodies-showcase.rb
# Demo: multiple tty-spinner formats + progressbar + table + prompt
# Install: gem install tty-spinner tty-progressbar tty-table tty-prompt

require 'tty-spinner'
require 'tty-progressbar'
require 'tty-table'
require 'tty-prompt'
require 'pastel'

PASTEL = Pastel.new
PROMPT = TTY::Prompt.new

def clear_screen
  system('clear') || system('cls')
end

def pause
  PROMPT.keypress("Press any key to continue…", timeout: 30) rescue nil
  puts
end

def demo_spinner_formats
  clear_screen
  puts PASTEL.bright_white.bold("tty-spinner formats demo\n\n")

  formats = %w[
    classic spin dots dots_8 dots_9 dots_10 dots_11 line pipe pong star
    simpleDots simpleDotsScrolling weather
  ]

  formats.each do |fmt|
    spinner = TTY::Spinner.new(
      "[:spinner] #{fmt.ljust(18)} ",
      format: fmt.to_sym,
      success_mark: PASTEL.green("✓"),
      error_mark:   PASTEL.red("✗"),
      hide_cursor:  true
    )

    spinner.auto_spin
    sleep rand(1.2..2.8)
    spinner.success(PASTEL.green("done"))
    sleep 0.4
  end

  puts "\nCustom heartbeat example:"
  custom = TTY::Spinner.new("[:spinner] Heartbeat… ", frames: %w[♥ ♡ ♥ ♡], interval: 6)
  custom.auto_spin
  sleep 4
  custom.success(PASTEL.green("lub dub"))

  pause
end

def demo_progressbar
  clear_screen
  puts PASTEL.bright_white.bold("TTY::ProgressBar examples\n\n")

  # Basic smooth bar
  bar1 = TTY::ProgressBar.new(
    "Basic [:bar] :percent :eta",
    total: 100,
    width: 40,
    head: ">",
    complete: PASTEL.green("="),
    incomplete: PASTEL.dim("-")
  )

  100.times do
    sleep 0.03
    bar1.advance
  end

  puts "\nCustom style + rate:"
  bar2 = TTY::ProgressBar.new(
    "Uploading [:bar] :current/:total :rate/s :percent",
    total: 50,
    head: ">",
    complete: PASTEL.cyan("="),
    incomplete: PASTEL.dim("·"),
    format: "%t |%b>%i| :current/:total :rate/s :percent ETA: :eta"
  )

  50.times do |i|
    sleep rand(0.05..0.15)
    bar2.advance(1, title: "file_#{i+1}.zip")
  end

  pause
end

def demo_hybrid_spinner_bar
  clear_screen
  puts PASTEL.bright_white.bold("Hybrid: spinner → progress bar\n\n")

  spinner = TTY::Spinner.new("[:spinner] Preparing… ", format: :dots_9, hide_cursor: true)
  spinner.auto_spin

  sleep 2.5   # unknown duration phase
  spinner.stop

  bar = TTY::ProgressBar.new(
    "Rendering [:bar] :percent",
    total: 120,
    head: PASTEL.bright_yellow(">"),
    complete: PASTEL.yellow("="),
    incomplete: PASTEL.dim("-"),
    width: 50
  )

  120.times do
    sleep 0.025
    bar.advance
  end

  puts PASTEL.green("\n✓ Render complete")
  pause
end

def demo_table_summary
  clear_screen
  puts PASTEL.bright_white.bold("Summary table of formats\n\n")

  data = [
    ["classic",      "classic rotation",       "10", "very compatible"],
    ["dots_8",       "braille dots smooth",    "8",  "modern terminals"],
    ["dots_9",       "heavy 8-bit dots",       "8",  "stylish"],
    ["spin",         "minimal circle",         "10", "clean"],
    ["weather",      "fun icons",              "10", "playful"],
    ["custom heart", "♥ ♡ sequence",           "6",  "emotional"]
  ]

  table = TTY::Table.new(
    ["Format", "Description", "Interval", "Best for"],
    data
  )

  puts table.render(:unicode, padding: [0, 1, 0, 1], resize: true)
  pause
end

# ────────────────────────────────────────────────
# Main menu
# ────────────────────────────────────────────────

loop do
  clear_screen
  choice = PROMPT.select("tty-goodies demo", cycle: true, symbols: { marker: "→" }) do |menu|
    menu.choice "Spinner formats showcase", 1
    menu.choice "ProgressBar examples",     2
    menu.choice "Hybrid spinner + bar",     3
    menu.choice "Summary table",            4
    menu.choice "Exit",                     :exit
  end

  break if choice == :exit

  send(:"demo_#{ {1=>"spinner_formats", 2=>"progressbar", 3=>"hybrid_spinner_bar", 4=>"table_summary"}[choice] }")
end

puts PASTEL.bright_cyan("\nThanks for playing! ❄️")
How to run
Bashgem install tty-spinner tty-progressbar tty-table tty-prompt pastel
chmod +x tty-goodies-showcase.rb
./tty-goodies-showcase.rb
What you’ll see

Clean menu via tty-prompt
Side-by-side spinner format comparison
Two different progress bar styles
Spinner → bar transition (realistic for unknown → known work)
Pretty unicode table summary
Pastel coloring for subtle visual pop
Pause between demos so you can read

Want to add:

real LLM streaming inside one of the demos?
multi-spinner example (parallel fake tasks)?
custom spinner + progress bar combo with dynamic title updates?