Everyday AI Podcast – An AI and ChatGPT Podcast· Folge 805

Ep 805: Codex Record and Replay: How to Teach an Agent Once Your Most Time-Consuming Workflows

Mittwoch, 24. Juni 2026 ¡ 27 min

MP3

Shownotes

Ever wish your agent would just watch you work and copy you? 👯

Oh wait, that's exactly what OpenAI released.

The new 'Record and Replay' feature in Codex allows you to simply record anything you do and turn it into a repeatable workflow for your agents.

Join us LIVE as we show you how. ⏺️

Codex Record and Replay: How to Teach an Agent Once Your Most Time-Consuming Workflows -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:
• Codex Record and Replay Feature Overview
• Transition from Prompting to Demonstration
• Skill Markdown Files as Business Artifacts
• Codex vs Claude Desktop Agent Comparison
• Workflow Recording and Security Best Practices
• Step-by-Step Codex Record and Replay Demo
• Video Understanding Capability in Codex
• Editing and Sharing Skills Across Platforms
• Automating Multi-App, Cross-System Workflows
• Validation, Scheduling, and Automation of Skills

Timestamps:

OpenAI's record and replay feature
Preparing for screen sharing
Managing Small Tasks Efficiently
Automating top story analysis
Debating AI business strategies
Codec's video ingest feature
Practicing low stakes automation
Using skills and plugins efficiently
Using Chattopty for workflow automation

Keywords:
codex record and replay, OpenAI record and replay, record and replay feature, codex workflow automation, proactive AI agents, skill.md file, skill markdown file, editable skill files, demonstration over prompting, desktop AI agents, Mac AI features, video ingestion AI, video understanding by AI, cross-platform AI workflows, AI workflow scheduling, codex plugins, codex Chrome profile, AI screen recording, reusable AI skills, skill file cross-compatibility, Claude desktop import, Google Gemini video support, AI workflow privacy, enterprise AI permissions, low stakes workflow automation, scheduled AI automations, computer use access, browser automation AI, AI handling Chrome profiles, prompt engineering replacement, automation library, validation of AI skill files, skill validator, PyYAML error handling, skill replay, Codex versus Claude, multi-app workflow automation, real business artifact AI, automation success criteria, desktop program integrations, computer task recording, mundane workflow automation, non-technical AI setup, AI scheduled worker, AI skill refinement
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