Creation Studio
Image generation, custom GPTs, prompt patterns, and Realtime Voice: turning models into creative tools.
4 channels · 21 articles
Building custom GPTs
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4 articles
GPT Image 2 image generation, inpainting, and style control
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6 articles
A Prompt Engineering pattern library
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5 articles
Realtime Voice and voice mode
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6 articles
GPTs
4 articlesOperating Custom GPTs on the GPT Store: Upload, Ratings, Discoverability, Analytics
How to continuously operate a Custom GPT after launch on the GPT Store: upload review, ratings, ranking, the dashboard, multi-GPT matrix, and compliance.
Read articleCustom GPT Actions in production: from single GPT to enterprise GPT ecosystem
Custom GPT Actions is the official mechanism for plugging GPT into your own APIs. Schema design, OAuth auth, GPT Store release, Teams / Enterprise deployment, Inspector debugging, security best practices.
Read articleCustom GPTs Complete Guide: From Idea to GPT Store
Custom GPTs let anyone build a dedicated AI assistant in ChatGPT — no code. A copyable path: scenario selection, Instructions writing, Knowledge upload, Actions setup, Capabilities enablement, and publishing to GPT Store.
Read articleBuilding Custom GPTs: from idea to GPT Store launch
How to design, configure, and ship a Custom GPT — picking the right use case, writing Instructions, wiring Actions, publishing to the GPT Store.
Read articleImages
6 articlesGPT Image 2.5 Explained: sunburst and flare, xhigh/max Quality, Arbitrary Resolutions
GPT Image 2.5 is in the official SDKs (openai-python v3.10.0 / openai-node v7.12.0): two models, sunburst and flare, new xhigh/max quality tiers, arbitrary resolutions, transparent backgrounds — with copy-paste code.
Read articleGPT Image 2 API in Practice: From Text-to-Image to Image Editing
The official image API after DALL·E's exit. This tutorial covers GPT Image 2 generation and editing calls, saving b64 output to disk, quality parameters, and the API-versus-ChatGPT split.
Read articleGPT Image 2 vs Midjourney vs DALL·E 3: Three Image Generation Models in Practice (2026)
Hands-on comparison of GPT Image 2, Midjourney, and DALL·E 3 across image quality, text rendering, consistency, price, and commercial rights. Includes a selection matrix and an enterprise mixed workflow.
Read articleGPT Image 2 for brand visuals: e-commerce hero shots, Logo iteration, and IP boundaries
GPT Image 2 in production for brand visual work: e-commerce hero shot consistency, Logo multi-version iteration, brand color control, IP and commercial-use boundaries (with safety checklist).
Read articleGPT Image 2 Prompt Formulas and Commercial Use Boundaries
GPT Image 2 is one of OpenAI's primary image models (GPT Image 2.5 entered the SDK on 2026-09-08; DALL·E 2/3 retired). A 5-part prompt formula, style control, size/quality parameters, and a Usage Policy checklist.
Read articleGPT Image 2 complete guide: text-to-image, editing, style control
How to get reliable, high-quality output from GPT Image 2 and the Images API: prompt structure, style control, image editing, and cost.
Read articlePrompt
5 articlesPrompt Engineering for Reasoning Models: When to Use Them, How to Prompt, How to Save Tokens
Reasoning models need different prompts than regular GPT models: the official best practices -- simple and direct beats technique stacking, no step-by-step coaching, seven task types worth delegating, and reasoning-item token savings.
Read articlePrompt evaluation and failure debugging: LLM-as-judge + regression tests + Debug mode
After prompts go to production: LLM-as-judge auto-scoring, regression test sets, failure case taxonomy (hallucination / off-topic / format error), Debug mode logging, token / cost visualization.
Read articleGPT-5.6 coding prompt patterns: 12 templates for Codex / Cursor that get it right on the first try
12 GPT-5.6 family prompt templates optimized for coding: architecture understanding, incremental implementation, bug localization, code review, test generation, refactoring, dependency upgrades. Pair with Codex CLI / Cursor / Aider.
Read articlePrompt Engineering Advanced: Multi-Turn Context, Structured Outputs, and GPT-5.6 Tuning
Part two of Prompt Engineering: multi-turn context management, structured outputs (JSON Schema), few-shot patterns, long-context strategy, and reasoning.effort interaction.
Read articlePrompt Engineering Core Patterns: 8 Templates That 2× GPT Output
A systematic walkthrough of 8 high-frequency prompt patterns — role prompting, few-shot, chain-of-thought, ReAct, self-consistency — each with a reusable template.
Read articleVoice
6 articlesThe Live API lands in the OpenAI SDK: gpt-live-1, dual WebRTC/WebSocket channels, and SIP call control
openai-python v3.12.0 and openai-node v7.14.0 (09-10) add the Live API: WebRTC session setup, WebSocket connect, SIP call control, recording download, sideband — plus a gpt-live-1 literal. Only SDK-source-verifiable facts.
Read articleGPT-Realtime-2.1 End-to-End vs ASR+LLM+TTS Pipelines: Choosing a Voice Architecture
For voice products: Realtime end-to-end or a self-assembled ASR+LLM+TTS pipeline? A five-dimension comparison (latency, interruption, control, deployment, multilingual) plus scenario-based recommendations.
Read articleRealtime API multilingual production: zh / en / ja auto-detect + cross-language dialog + dialect robustness
GPT-Realtime-2.1 multilingual capability: auto-detect user language (zh / en / ja / ko / es etc.), cross-language dialog (user speaks A, AI answers B), dialect robustness (Cantonese / Sichuanese), translate mode auto-translation.
Read articleRealtime Voice Agents in production: phone support and voice assistants with Realtime API + function calling
Wire GPT-Realtime-2.1 into phone / voice assistant scenarios for Realtime Voice Agents. WebRTC vs WebSocket selection, server_vad tuning, mid-conversation function calling, barge-in handling, call quality monitoring.
Read articleAdvanced Voice Deep Dive: GPT-Realtime-2.1, Latency Tuning, and Production Patterns
A production-ready guide to GPT-Realtime-2.1 and ChatGPT Advanced Voice: WebRTC vs WebSocket, turn detection tuning, mid-conversation function calling, VAD parameters, and deployment.
Read articleRealtime Voice guide: gpt-realtime and Voice Mode
How to ship low-latency voice AI with OpenAI's gpt-realtime / gpt-realtime-mini: WebRTC vs WebSocket, mid-conversation function calling, and Voice Mode best practices.
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