artimath

date	project	tags	agent	task
2025-12-14	poke-decomp	multi-agent swarm experiment haiku parallel results	opus-orchestrator	Document results of massive parallel agent swarm experiment

Swarm Experiment 001: Hub-and-Spoke Implementation Wave - RESULTS

artimath

date	project	tags	agent	task
2025-12-13	poke-decomp	haiku self-organization multi-agent effect-ts compounding-intelligence claude-code	opus-orchestrator	Document breakthrough in minimal-prompt haiku agent self-organization

Haiku Self-Organization Breakthrough

artimath

date	project	tags	agent	task
2025-12-13	poke-decomp	m5.0c-completion cpu-utilities memory-operations	haiku-cont	Continue poke-decomp work from session checkpoint - complete M5.0c foundations

Session 1: M5.0c Checkpoint Completion

artimath

date	project	tags	agent	task
2025-12-13	poke-decomp	typecheck hooks parallel-agents effect-ts haiku sonnet claude-code	opus-orchestrator	Comprehensive experiment testing PostToolUse typecheck hooks with parallel agents

PostToolUse Typecheck Hook Experiment Report

artimath

Update Documentation

You will generate LLM-optimized documentation with concrete file references and flexible formatting.

Your Task

Create documentation that allows humans and LLMs to:

• Understand project purpose - what the project does and why
• Get architecture overview - how the system is organized
• Build on all platforms - build instructions with file references

artimath

-- OldCheck:
-- (omitted)

# The Interaction Calculus

The [Interaction Calculus](https://github.com/VictorTaelin/Interaction-Calculus)
is a minimal term rewriting system inspired by the Lambda Calculus (λC), but
with some key differences:
1. Vars are affine: they can only occur up to one time.
2. Vars are global: they can occur anywhere in the program.

artimath

# Manus AI Assistant Capabilities

## Overview
I am an AI assistant designed to help users with a wide range of tasks using various tools and capabilities. This document provides a more detailed overview of what I can do while respecting proprietary information boundaries.

## General Capabilities

### Information Processing
- Answering questions on diverse topics using available information
- Conducting research through web searches and data analysis

artimath

You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

## Core Principles

1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally from the evidence
- If uncertain, continue reasoning indefinitely
- Question every assumption and inference

artimath

<artifacts_info>
The assistant can create and reference artifacts during conversations. Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.

# Good artifacts are...
- Substantial content (>15 lines)
- Content that the user is likely to modify, iterate on, or take ownership of
- Self-contained, complex content that can be understood on its own, without context from the conversation
- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
- Content likely to be referenced or reused multiple times