Make No Mistakes

Notes toward a model-agnostic agent harness.
_{Started June 2026 · still being edited}

What this is

Working notes on how to build a clean, model-agnostic agent harness — loops, memory, subagents, tools, MCPs, skills, voice — organized around a 5-tier architecture.

It pulls patterns from a dozen existing projects (Hermes, Codex, Pi, LangGraph, OpenClaw, LiteLLM, and others) and tries to say which layer each one is actually good at.

It's a composite, not a merge

You are not supposed to fork Hermes, Codex, Pi, LangGraph, and OpenClaw into one giant monorepo. That's the mistake this whole thing is named after.

Instead, treat each project as a pattern donor for a specific layer, and wire them together through interfaces that already exist: OpenAI-compatible APIs, MCP, SSE, SKILL.md.

The spec means	It does not mean
Tier 2 behaves like Hermes/Codex/Pi	Copy their codebases
Tier 5 talks to your model backend (Ollama, OpenRouter, …)	Vendor a proxy repo or require LiteLLM
Tier 4 borrows OpenClaw patterns	Fork OpenClaw as your base

Narrow interfaces, opinionated layers.

→ Full architecture recommendations

Start here


Live site	mrgizmo212.github.io/make-no-mistakes
The spec	Harness Architecture Specification
Recommendations	Architecture Recommendations
Full TOC	SUMMARY.md
Where claims come from	Sources · Citations

The 5-tier stack

flowchart TB
  T5["Tier 5 · Model Gateway<br/>Ollama · OpenRouter · LiteLLM · direct APIs"]
  T4["Tier 4 · Canvas GUI<br/>OpenClaw"]
  T3["Tier 3 · IDE Extension<br/>Cursor · VS Code"]
  T2["Tier 2 · Cognitive Engine<br/>Hermes / Codex / Pi"]
  T1["Tier 1 · SDK / Hooks<br/>LangGraph / assistant-ui"]
  T5 --> T4 --> T3 --> T2 --> T1

Tier 3 leans on Cursor's agent model — see the Cursor Agent docs and SRC-021.

What's inside

Part	Topics
I · Landscape	SDKs, frameworks, coding agents
II · Core systems	Loops, memory, subagents, tools, MCPs, skills, voice
III · Architecture	Model-agnostic harness, backend & frontend stacks
IV · Studies	Hermes, Codex, Pi, LangGraph, LangChain, OpenClaw, LiteLLM, …
V · Synthesis	Comparisons, recommendations, final spec

Read it offline

git clone https://github.com/mrgizmo212/make-no-mistakes.git
cd make-no-mistakes
# open SUMMARY.md, or jump to 19_final_reports/harness_architecture_specification_report.md

About the guy who used AI to put all this together

Adam Heimann is the co-founder and CEO of True Trading Group, where he also leads AI strategy and product. He started out on the promotional side of penny stocks — he literally wrote The Penny Stock Gospel, though not proud of it. Now he builds the tools he wishes those traders had had: multi-agent research workflows and practical AI that help traders and investors analyze markets faster, document plans, and manage risk.

Check out the current 90-day TTG trial for $90.

He's blunt, allergic to hype, and doesn't think the customer is always right — he'll tell you when you're the problem, because he'd rather you actually get better than feel good and stay broke. It's a posture his members reward: under Adam's direction TTG launched M.A.R.I., an Agent-as-a-Model ecosystem — AI agents exposed as a single model — that powers the TTG AI trading platform, recognized at the 2024 Benzinga Fintech Awards. TTG has since scaled a global community of more than 10,000 members across 115 countries.

A bootstrapped founder since 2006, Adam has taken multiple companies from idea to product with no outside funding, generating more than $100 million in cumulative revenue. He was also an original co-founder of LibreChat LLC, acquired by ClickHouse in November 2025. His work focuses on making institutional-grade capabilities accessible to individuals while emphasizing process, compliance awareness, and human-in-the-loop decision making.

https://www.linkedin.com/in/adam-heimann-68789610/

https://x.com/adamheimann