AI Workflow Reference Hub

Find the site’s stable reference pages for AI platform mapping, workflow placement, prompt and instruction layers, verification methods, terminology, diagrams, engineering protocols, and content navigation.

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Find the right reference page

Find where a workflow belongs →

Use platform placement, workflow-layer definitions, verification methods, diagrams, terminology, and navigation maps.

Run a procedure →

Open step-by-step workflows, setup instructions, verification checks, and implementation procedures.

Apply a rule set →

Use evidence boundaries, enforcement rules, source requirements, and constraints that govern a workflow.

Copy a prompt asset →

Open reusable prompt templates, system files, runners, components, and workflow prompts.

Read context and analysis →

Use long-form explanation, technical framing, trade-off analysis, and research-oriented context.

Browse by problem area →

Open problem-based paths across guides, prompts, policies, reference pages, and articles.

AI workflow placement by platform

Start here when a guide says “configure this workflow.” Before choosing a platform page, separate stable instructions, source material, reusable workflows, runtime prompts, and verification gates so each part is placed on the correct AI-tool surface.

ChatGPT →

Projects, GPTs, Skills, files/sources, Custom Instructions, Memory, and runtime prompts.

Open reference

Claude →

Projects, Project Instructions, Project Knowledge, Skills, Claude Code surfaces, and runtime chat input.

Open reference

Gemini →

Gems, Gem instructions, Knowledge files, Memory, Connected Apps, AI Studio, Gemini API, Files API, File Search, and Vertex AI.

Open reference

API / internal systems →

System/developer instructions, retrieval, tools, orchestration, approvals, validation, evals, logging, and application state.

Open reference