GPTMap

A chart of the OpenAI ecosystem

Everything about OpenAI, mapped.

ChatGPT, GPT Models, Codex, API, Prompt, Memory, Voice, Images, MCP — every corner of the OpenAI ecosystem, organized into one navigable map.

14
Channels
100%
Original & first-hand tested
llms.txt + Schema
AI-friendly

02

Latest articles

Guides
6 min

Bilingual Content Production: zh Master Drafts, en Rewrites, and Consistency Checks

In a bilingual knowledge base the en version is a rewrite for English readers, not a translation: shared vs independent frontmatter fields, target-language link titles, and a two-round tightening method for over-length fields.

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MCP
6 min

MCP stdio Transport Deep Dive: Message Framing, Process Lifecycle, and Backward Compatibility (2026-07-28 Spec)

The MCP stdio transport at spec level: newline-delimited JSON-RPC framing, the stdout/stderr boundary, cancellation and shutdown lifecycle rules, crash restarts, and backward-compatibility probing.

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Guides
6 min

World-State Consistency for Multi-Author Knowledge Bases

The deadliest failure in a multi-author, AI-assisted knowledge base is contradictory facts. GPTMap's world-state pattern: a dated shared-facts snapshot, three-step change propagation, and build-time consistency assertions.

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MCP
7 min

MCP Authorization Explained: How OAuth 2.1 Lands in MCP (2026-07-28 Spec)

The MCP authorization spec clause by clause: role mapping, RFC9728 discovery, three registration mechanisms, the iss validation table, resource parameters, token red lines, and the step-up authorization flow.

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News
6 min

EFS Explained: How Anthropic Squares Zero-Retention Privacy with Safety Monitoring

Anthropic's Enterprise Frontier Safeguards (EFS), announced 9-01: zero-data-retention-equivalent privacy, storage on customer-controlled cloud infrastructure, customer-side reviewers -- co-built with 100+ customers, free.

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Deep Research
7 min

How to Read the Benchmark Charts in a Model Launch: Effort Curves, Log Cost Axes, and Safeguard Interventions

Model-launch accuracy-vs-cost charts carry hidden methodology choices. Worked on the 2026-09-01 Claude Fable 5.1 announcement: effort curves, log axes, error bars, scoring conventions, missing cells, safeguard zero-scores.

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Guides
7 min

Source Verification and Review-Until-Clean: A Fact-Checking Workflow for AI Content

The costliest failure in AI-assisted content is the factual error. GPTMap's workflow: three writing rules plus a five-step review loop, with a real verification case from a launch announcement.

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