# Can AI Agents Learn From Expert Corrections?

Page: https://stenobird.com/podcast/the-neuron-ai-explained-6886341/can-ai-agents-learn-from-expert-corrections
Text version: https://stenobird.com/podcast/the-neuron-ai-explained-6886341/can-ai-agents-learn-from-expert-corrections.md
Podcast: [The Neuron: AI Explained](https://stenobird.com/podcast/the-neuron-ai-explained-6886341)
Published: 2026-07-01T18:40:01+00:00
Episode link: https://podcasters.spotify.com/pod/show/the-neuron/episodes/Can-AI-Agents-Learn-From-Expert-Corrections-e3lh8ce
Audio file: https://anchor.fm/s/f51d3fd0/podcast/play/122249038/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-6-1%2F427171335-44100-2-941bdb71d6086.mp3
Processing state: not_requested
JSON: https://stenobird.com/v1/public/podcasts/the-neuron-ai-explained-6886341/episodes/can-ai-agents-learn-from-expert-corrections
Duration seconds: 3156

## Resource

OpenAI and Thrive Holdings built Tax AI, a Codex-powered agent that helps prepare complex tax returns while preserving evidence for accountant review. In this episode, Corey and Grant talk with OpenAI’s John de Wasseige and Arthur Fernandes Araujo about how expert corrections become structured signals, how Codex turns repeated failures into evals and scoped engineering tasks, and why the best AI deployments still need humans close to the work. They also dig into what this pattern could mean for bookkeeping, audits, IT help desks, and other expert workflows where the system can measure what “right” looks like. Relevant links: OpenAI Tax AI case study: https://openai.com/index/building-self-improving-tax-agents-with-codex/ OpenAI Codex: https://openai.com/codex/ Harness engineering: https://openai.com/index/harness-engineering/ Thrive Holdings: https://www.thriveholdings.com/ Crete: https://www.cretepa.com/ Subscribe to The Neuron newsletter: https://theneuron.ai

## Actions

- request_transcript: `POST https://stenobird.com/v1/public/podcasts/the-neuron-ai-explained-6886341/episodes/can-ai-agents-learn-from-expert-corrections/transcription-requests` — Idempotently request low-priority transcript generation for this episode.
- read_markdown: `GET https://stenobird.com/podcast/the-neuron-ai-explained-6886341/can-ai-agents-learn-from-expert-corrections.md` — Read the agent-friendly Markdown representation of this episode resource.

A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed.

## Transcript

Full transcripts are not published on public pages unless there is a clear rights basis.