GPTMap

#tutorial

14 total

API
5 min

OpenAI API Error Handling and Retry: 401/429/5xx Patterns

Production-ready error handling for the OpenAI API: 401/429/500/503/timeout. Exponential backoff + jitter, error budgets, upstream protection, streaming-mode specifics.

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ChatGPT
5 min

ChatGPT Projects Complete Guide: File RAG, Custom Instructions, and Team Collaboration

ChatGPT Projects is the workspace feature for Plus/Pro users: file uploads, project-level Instructions, cross-conversation context, and workspace sharing. A copyable SOP for setting up a project.

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Codex
5 min

Codex CLI in GitHub Actions: production-grade CI integration

Plug Codex CLI into GitHub Actions for automatic PR review / test generation / doc sync. Covers OAuth vs API-key auth, npm caching, worktree concurrency isolation, audit and budget guardrails.

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Deep Research
5 min

DeepResearch Output Quality Control: Model Selection, Prompt Tuning, and Citation Verification

DeepResearch output quality varies. A systematic QC path: model selection (Plus vs Pro vs o-series), the 5-part research prompt, citation verification checklist, and the iteration feedback loop.

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GPTs
5 min

Custom 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.

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Guides
5 min

GPTMap Article Maintenance Guide: Re-testing, Version Sync, and Sunset

Publishing is the start, not the end. GPTMap's editorial standard for maintaining a published article: six-month re-test triggers, world-state sync, link health checks, and sunset/merge decisions.

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MCP
4 min

Deploy MCP Server to Cloudflare Workers: MCP at the Edge

Deploy MCP Server to Cloudflare Workers: stdio to Streamable HTTP conversion, Edge Runtime limits, KV persistence, wrangler config, and a production checklist.

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Memory
5 min

ChatGPT Memory: 12 High-Value Use Cases (Tech Stack to Family)

What ChatGPT Memory really remembers, and how to use it without losing fidelity. 12 categorized use cases with ready-to-paste prompt templates: tech stack, writing style, audience, family, decisions, and more.

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Codex
4 min

Codex Team Workflow: worktrees, reviews, and CI integration

How to use Codex CLI in a team without breaking things: independent git worktrees, diff review, CODEOWNERS, CI integration, sensitive-path whitelist, and PR review checklist.

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Images
4 min

GPT 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.

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Prompt
5 min

Prompt 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.

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Voice
5 min

Advanced 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.

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API
4 min

Function Calling with the OpenAI API: A Complete Guide to Tool Use in the Responses API

Function calling is how GPT-5.6 calls your code. This guide walks the full Responses API flow: declaring tools, parsing function_call, returning results, and chaining multi-turn tool calls.

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MCP
4 min

Build Your Own MCP Server: From Zero to Published

Build and ship an MCP Server with @modelcontextprotocol/sdk: project setup, declaring tools, choosing stdio vs Streamable HTTP, local testing, OAuth, and a launch checklist.

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