# CoT Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/cot
> Markdown URL: https://aitinkerers.org/technologies/cot.md
> Technology record last updated: 2026-02-25T06:08:14Z
> Generated: 2026-08-25T09:13:26Z

A prompting technique that forces LLMs to output intermediate reasoning steps to solve complex logic and math problems.

Jason Wei and the Google Brain team published the definitive CoT paper in 2022. The technique prompts LLMs to generate a sequence of intermediate logical steps before reaching a conclusion. It solves the performance gap in multi-step tasks: on the GSM8K math benchmark, PaLM 540B jumped from 18 percent to 57 percent accuracy using CoT. This method (often triggered by the phrase: Let's think step by step) makes the model's reasoning transparent and verifiable. It is a standard requirement for high-accuracy workflows in GPT-4 and Claude 3.5 Sonnet.

- Official technology site: https://arxiv.org/abs/2201.11903
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Code > Prompts: Why Your Agent Should Think in Code, Not English](https://seattle.aitinkerers.org/talks/rsvp_Sx9TEh092FI)

What if your agent's "reasoning" was code, not English? Live code walkthrough: I'll build two agents side-by-side, a standard ReAct tool-caller and one using OpenSymbolicAI, where the LLM's job isn't to "reason" in English, it's to emit typed execution plans as Python. Same model, same tools, same question. You'll watch the ReAct agent burn tokens re-reading its own verbose reasoning while the behavioral agent plans once and executes deterministically. Then I'll add 17 lines of code live and turn a failing agent into one that wins the race. No slides.

- Event context: AI Tinkerers Seattle Meetup: Dev Tools Track — March 9th, 2026 — 2026-03-10 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_Sx9TEh092FI

## Related Technologies

- [Code (Python)](https://aitinkerers.org/technologies/code-python) ([Markdown](https://aitinkerers.org/technologies/code-python.md)) — 1 public demo
- [LLM APIs](https://aitinkerers.org/technologies/llm-apis) ([Markdown](https://aitinkerers.org/technologies/llm-apis.md)) — 5 public demos
- [OpenSymbolicAI](https://aitinkerers.org/technologies/opensymbolicai) ([Markdown](https://aitinkerers.org/technologies/opensymbolicai.md)) — 1 public demo
- [Python](https://aitinkerers.org/technologies/python) ([Markdown](https://aitinkerers.org/technologies/python.md)) — 654 public demos
- [React](https://aitinkerers.org/technologies/react) ([Markdown](https://aitinkerers.org/technologies/react.md)) — 216 public demos