One prompt can now drive more of your work More support for defending infrastructure and open source See Claude’s rules updated for newer risks GPT-6 Intelligent UI makes conversations visual and interactive Claude Haiku 5.5 delivers low-cost, high-performance AI Create visual, interactive answers from a simple chat Run high-volume tasks with a cheaper fast model Share new mathematical results on GitHub to accelerate research Easier access to advanced Claude models for security work Run image, audio, and video search on-device with one model Atlassian integration makes company knowledge easier to use Decisions beta speeds up typed answers from text and images Anthropic expands safer access to advanced cyber features Enable text watermarking via API for EU compliance Claude training becomes easier for enterprise teams Anthropic invests in workforce training for enterprise adoption Enterprise adoption and training get easier Google's Gemini 4 Argon makes heavy tasks easier to offload Gemini 4 Argon is built for long professional tasks Use Astra-level performance affordably in daily work One prompt can now drive more of your work More support for defending infrastructure and open source See Claude’s rules updated for newer risks GPT-6 Intelligent UI makes conversations visual and interactive Claude Haiku 5.5 delivers low-cost, high-performance AI Create visual, interactive answers from a simple chat Run high-volume tasks with a cheaper fast model Share new mathematical results on GitHub to accelerate research Easier access to advanced Claude models for security work Run image, audio, and video search on-device with one model Atlassian integration makes company knowledge easier to use Decisions beta speeds up typed answers from text and images Anthropic expands safer access to advanced cyber features Enable text watermarking via API for EU compliance Claude training becomes easier for enterprise teams Anthropic invests in workforce training for enterprise adoption Enterprise adoption and training get easier Google's Gemini 4 Argon makes heavy tasks easier to offload Gemini 4 Argon is built for long professional tasks Use Astra-level performance affordably in daily work

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AI summarized from verified sources

OpenAI shares operational tips in Codex Prompting Guide

Reduces agent failures while cutting wasted reads and tokens.

SOURCE CHECK

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VERIFIED

Sources

Primary / developers.openai.com

Official Docs

Key Points

1Templates for parallel tool-calling
2Recommends ~10k-token tool output truncation
3Explains phase handling for long tasks
4Batch file reads instead of one-by-one

OpenAI’s Codex Prompting Guide explains how to write instructions that work reliably for coding agents. It details parallel tool-calling workflows and how to truncate tool outputs to save tokens. It also notes implementation cautions like the phase parameter for longer tasks. Existing Codex integrations may benefit from revisiting state and parallelism assumptions.

Key point

OpenAI’s Codex Prompting Guide explains how to write instructions that work reliably for coding agents. It details parallel tool-calling workflows and how to truncate tool outputs to save tokens. It also notes implementation cautions like the phase parameter for longer tasks. Existing Codex integrations may benefit from revisiting state and parallelism assumptions.

Impact

Reduces agent failures while cutting wasted reads and tokens. Key checks: Templates for parallel tool-calling / Recommends ~10k-token tool output truncation / Explains phase handling for long tasks.