Unveiling 4o Image Generation
ChatGPT Images 2.5 brings image generation natively into GPT-4o, eliminating handoffs between systems. Key improvements include far more legible text inside images and stronger adherence to complex, m…
Prompt Engineering
Better prompts get better answers. This topic gathers our prompt packs and techniques: how to give context, set a role, ask for structure, iterate on results and build system prompts you can reuse across tools.
The next chapter in the Agents SDK's evolution
OpenAI's latest Agents SDK update introduces native sandbox execution and a model-native harness. Sandboxing lets agents run generated code in isolated environments, protecting production systems from…
ChatGPT for Ops Teams
This guide shows operations teams how to use ChatGPT for everyday tasks like writing SOPs, summarizing meetings, drafting status updates, and building checklists. It outlines a practical capture-struc…
Microsoft 365 Copilot now favors GPT-5.6 as its top model choice
Microsoft has updated Microsoft 365 Copilot to run on GPT-5.6 as its top model, improving reasoning, instruction-following, and output quality across Word, Excel, PowerPoint, Copilot Chat, and the new…
Establishing an Instruction Hierarchy: Teaching LLMs to Give Priority to Privileged Instructions
Large language models remain vulnerable to prompt injections and jailbreak attacks that replace built-in instructions with malicious prompts. Establishing an instruction hierarchy teaches LLMs to prio…
WanPE: Advancing Cinematic Prompt Refinement for Contemporary Text-to-Video Generation
WanPE turns short prompts into shot-level plans via video-grounded reverse construction and SC-GRPO, improving 30-second text-to-video preference scores.
Master ChatGPT workflows tailored for finance teams
This guide explains how finance professionals can use ChatGPT to speed up analysis, draft reports, build forecast frameworks, and communicate numbers to non-finance audiences. It covers four practical…
The Real Python Podcast Episode #306: Building LLM Prompts Programmatically Using DSPy
Manual LLM prompts are hard to test and reuse. DSPy helps teams define prompt behavior programmatically for easier maintenance and improvement.
Applying skills
Tired of re-explaining your brand voice, report formats, or coding standards to ChatGPT? This tutorial introduces ChatGPT skills—reusable modules that package instructions, reference files, and workfl…
Sales-focused ChatGPT workflow training
This guide provides sales reps with five practical ChatGPT workflows covering account research, meeting preparation, personalized outreach emails, and pipeline reviews. Each workflow includes copy-pas…
Helping developers create safer AI experiences for teenagers
OpenAI has released ready-made, prompt-based teen safety policies for its gpt-oss-safeguard moderation model. Developers building AI applications for audiences under 18 can use these natural-language …
Teaching language models to follow instructions through alignment
OpenAI introduces InstructGPT, a family of language models now the default on its API. Built on GPT-3 but trained with humans in the loop, it follows user instructions more accurately, gives more trut…
Building prompt injection-resistant AI agents
AI agents that take real actions face unique security risks like prompt injection and social engineering. This article explains ChatGPT's defense strategy: constraining risky actions through confirmat…
Improved prompt caching capabilities for GPT-6
Meta description: Discover how GPT-6's prompt caching works, including higher cache hit rates, new diagnostics, breakpoi
Inside the Codex harness: building the App Server
The Codex App Server lets developers embed an AI coding agent directly into their applications via a bidirectional JSON-RPC API. Unlike one-shot prompt services, it supports ongoing conversations wher…
Providing Zero Data Retention capabilities for frontier models
OpenAI has reaffirmed its Zero Data Retention (ZDR) commitment for eligible API customers, ensuring prompts and outputs are not stored or used for training. It also previewed Private Safety Processing…
Partnering with CodeAI to prepare the first AI generation
OpenAI and CodeAI have announced a partnership to help students develop AI literacy, critical thinking, and responsible AI skills. The collaboration goes beyond prompt writing, aiming to teach student…
How Higgsfield transforms basic concepts into movie-style social media videos
Higgsfield is an AI video creation platform that transforms simple text prompts and images into cinematic, social-first videos by integrating OpenAI's GPT-4.1, GPT-5, and Sora 2. GPT models refine rou…
Unpacking the Codex agent loop
This article explains how the Codex CLI agent loop works under the hood. It covers the iterative cycle of receiving context, deciding on actions, executing tools, and observing results. It highlights …
Comparing LLMOps, MLOps, and AgentOps: What Shifts When Running Language Models at Scale
MLOps focuses on models; LLMOps adds prompts, retrieval, evaluation, latency, cost; AgentOps manages tools and multi-step workflows.