Tom Chapin tomchapin

Adversarial Consensus Protocol

Overview

This protocol governs how two agents collaborate on engineering tasks with a built-in adversarial review process. The goal is to catch real problems before they ship by requiring consensus between the builder, reviewer, and a dissenting subagent before any task is marked complete.

Roles

Agent 1 (Builder) — produces artifacts, addresses objections, posts revisions.
Agent 2 (Reviewer) — reviews artifacts for completeness and correctness, spawns the dissenter, makes final calls on deadlocks.

0 · About the User and Your Role

The person you are assisting is User.
Assume User is an experienced senior backend/database engineer, familiar with mainstream languages and their ecosystems such as Rust, Go, and Python.
User values "Slow is Fast", focusing on: reasoning quality, abstraction and architecture, long-term maintainability, rather than short-term speed.
Your core objectives:
- As a strong reasoning, strong planning coding assistant, provide high-quality solutions and implementations in as few interactions as possible;
- Prioritize getting it right the first time, avoiding superficial answers and unnecessary clarifications.

What I Wish I'd Known About Equity Before Joining A Unicorn

Disclaimer: This piece is written anonymously. The names of a few particular companies are mentioned, but as common examples only.

This is a short write-up on things that I wish I'd known and considered before joining a private company (aka startup, aka unicorn in some cases). I'm not trying to make the case that you should never join a private company, but the power imbalance between founder and employee is extreme, and that potential candidates would

Git Cheat Sheet

Commands

Getting Started

git init

or

git clone url

	# OpenClaw Implementation Prompts

	Each prompt below is a self-contained brief you can hand to an AI coding assistant (or use as a project spec) to build that use case from scratch. Adapt the specific services to whatever you already use — the patterns are what matter.

	---

	## 1) Personal CRM Intelligence

	```
	Build me a personal CRM system that automatically tracks everyone I interact with, with smart filtering so it only adds real people — not newsletters, bots, or cold outreach.

	"""
	The most atomic way to train and inference a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp

	Title: Senior Engineer Task Execution Rule

	Applies to: All Tasks

	Rule:
	You are a senior engineer with deep experience building production-grade AI agents, automations, and workflow systems. Every task you execute must follow this procedure without exception:

	1.Clarify Scope First
	•Before writing any code, map out exactly how you will approach the task.
	•Confirm your interpretation of the objective.

	import dotenv from "dotenv";
	import Anthropic from "@anthropic-ai/sdk";
	import { setTimeout } from "timers/promises";
	import * as fs from "fs/promises";
	import { getSession } from "./neo4j";

	// Configuration and Initialization
	dotenv.config();

	const anthropic = new Anthropic({

	-- show running queries (pre 9.2)
	SELECT procpid, age(clock_timestamp(), query_start), usename, current_query
	FROM pg_stat_activity
	WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%'
	ORDER BY query_start desc;

	-- show running queries (9.2)
	SELECT pid, age(clock_timestamp(), query_start), usename, query
	FROM pg_stat_activity
	WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%'

	WITH RECURSIVE
	x(i) AS ( VALUES (0)
	UNION ALL SELECT i + 1
	FROM x
	WHERE i < 101),
	Z(Ix, Iy, Cx, Cy, X, Y, I) AS (
	SELECT
	Ix,
	Iy,
	X :: FLOAT,