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What is counterpoint?

tns-research/counterpoint — explained in plain English

Analysis updated 2026-05-18

1ShellAudience · developerComplexity · 3/5Setup · moderate

In one sentence

A tool for Claude Code that has a second AI model, OpenAI Codex, review and critique the work before it ships, catching mistakes a single model would miss.

Mindmap

mindmap
  root((counterpoint))
    What it does
      Drafts with Claude Opus
      Critiques with OpenAI Codex
      Revises before shipping
    Tech stack
      Shell scripts
      Claude Code
      Codex CLI
    Use cases
      Catching AI blind spots
      Cross checking code changes
      Reviewing research or writing drafts
    Audience
      Developers
      Claude Code users
      AI power users

Code map

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What do people build with it?

USE CASE 1

Get a second AI model's critique on a coding change before it ships.

USE CASE 2

Catch subtle mistakes in AI generated data analysis or research summaries.

USE CASE 3

Have two AI models jointly plan a task and pick the stronger plan.

USE CASE 4

Reduce the risk of a single model's confident but wrong conclusions.

What is it built with?

ShellClaude CodeOpenAI Codex

How does it compare?

tns-research/counterpoint100/dotfilesadams549659584/my-openwrt-actions
Stars111
LanguageShellShellShell
Last pushed2016-11-182020-06-06
MaintenanceDormantDormant
Setup difficultymoderateeasyhard
Complexity3/51/53/5
Audiencedeveloperdeveloperops devops

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires both an active Claude subscription and an active ChatGPT subscription signed in locally.

No license information was found in the README.

So what is it?

counterpoint is a tool that makes two different AI models check each other's work before anything gets shipped inside Claude Code. Instead of you copying a draft from one AI, pasting it into another AI to ask what is wrong with it, and then pasting the feedback back, this project automates that whole back and forth on every turn. It uses Claude Opus as the model that writes the work, and OpenAI Codex, reached through its own command line tool, as a second model that reviews it. Because the two models come from different companies and were trained differently, they tend to make different mistakes, so one can catch a mistake the other would not notice on its own. The README gives an example where one model wrote a data summary calling a certain number weak, and the other model caught that the number was actually a misleading average, and the real result was strong. The tool needs both a Claude subscription and a ChatGPT subscription already signed in, since it runs both AI apps you already pay for rather than calling a separate paid API. There is no extra per-token billing, but each turn does take longer, since a full check from the second model can add several minutes. There are three modes you can switch between: off, which runs Claude Code normally with no second opinion, small, which adds one round of drafting, criticism, and revision, and full, which also has both models plan the work first, compares the two plans, and lets the stronger plan's author do the actual writing while the other reviews it. Disagreements between the two models are settled first by any automated checks like tests or a linter, then by whether the work follows the written instructions, and only as a last resort by one model's judgment call. The project is written mostly as shell scripts and is designed to run on macOS or Linux. The full README is longer than what was shown.

Copy-paste prompts

Prompt 1
Explain how to set up counterpoint with both a Claude and ChatGPT subscription.
Prompt 2
Walk me through the difference between small mode and full mode in this project.
Prompt 3
Show me how the verification ladder decides between two disagreeing models.
Prompt 4
Help me switch counterpoint's mode using the toggle file.

Frequently asked questions

What is counterpoint?

A tool for Claude Code that has a second AI model, OpenAI Codex, review and critique the work before it ships, catching mistakes a single model would miss.

What language is counterpoint written in?

Mainly Shell. The stack also includes Shell, Claude Code, OpenAI Codex.

What license does counterpoint use?

No license information was found in the README.

How hard is counterpoint to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is counterpoint for?

Mainly developer.

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