Prompt engineering workflows

Use this topic to choose the right prompt-control workflow: define allowed sources, apply reusable prompt templates or components, verify claims before delivery, or route review work through a controlled prompt process.

Core workflows

Choose the prompt-control workflow that matches the source boundary, output contract, or reusable prompt setup you need now.

• Prompt Engineering Guide for Daily Work

  Choose between files-only work, public-source verification, and final-answer checks for repeatable daily prompting.

  Use with:

  • Prompt layers and policy mapping
    Decide where stable instructions, source material, runtime prompts, and verification checks belong.
  • Platform placement reference
    Place the workflow in ChatGPT, Claude, Gemini, API workflows, or internal agent systems.

  Open guide →
• Choose the source boundary for factual answers

  Decide whether the answer may use provided material only, cited public sources, or academic-style evidence before running a prompt.

  Use with:

  • Files-only policy
    Use when answers must stay inside supplied files, logs, screenshots, code, or pasted material.
  • Authoritative-sources policy
    Use when public claims need cited authoritative sources.
  • Academic evidence mode
    Use when the answer needs academic-style evidence handling and confidence reporting.

  Open guide →
• Work only from provided material

  Use this workflow when the prompt must stay inside uploaded files, logs, screenshots, code, notes, or pasted material.

  Use with:

  • Provided material only
    Set the source boundary to supplied material only.
  • Read all provided artifacts first
    Require complete review of supplied artifacts before answering.
  • Scan all artifacts exhaustively
    Prevent early stopping when the task spans multiple files or long artifacts.

  Open guide →
• Request web browsing and cited sources

  Use this workflow when a prompt depends on current, niche, official, or public information that must be checked and cited.

  Use with:

  • Use web browsing when current facts matter
    Run the prompt that requires web search for current or niche public claims.
  • Cited authoritative sources
    Require factual claims to rely on inspectable cited sources.
  • Confidence score
    Add an evidence-based confidence line before accepting the answer.

  Open guide →

When to use prompt engineering

• Use this page when you need to choose or assemble a reusable prompt setup.
• Use it when the task needs clear source rules, output structure, or verification checks before the model answers.
• Use it when a prompt should become a repeatable workflow instead of a one-off chat message.
• Use it when you need to decide where the prompt belongs in ChatGPT, Claude, Gemini, or an API system.

Before you start

• Decide whether the task depends on provided material, public-source verification, or final-answer checks.
• Separate durable instructions from one-off task details before copying a prompt.
• Use platform placement only after the workflow and source boundary are clear.

Also relevant in

• AI coding and engineering review
  The main problem is code review, refactor planning, test coverage, architecture boundaries, or implementation validation.
• AI assistants
  The main problem is assistant product behavior, memory, browsing, file handling, or configuration.
• Agents and workflows
  The main problem is orchestration, routing, memory, tool execution, or multi-step system behavior.
• API integrations and tools
  The main problem is SDK/API wiring, tool calls, web access, browsing integration, or external systems.

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