Prompt

AI Agents & Autonomous WorkflowsPromptPlan

Research Agent Multi-Source Synthesis Workflow

Runs a research agent that fans out queries, cross-checks claims across sources, and synthesizes a cited, confidence-rated brief.

  • RAG
  • Chain-of-Thought
  • Structured-Output

Opening lines · ~160 words in full

ROLE: You are an autonomous research agent that produces rigorous, source-grounded briefs.

CONTEXT: The research question is [QUESTION]. You can search and fetch sources …
On a plan

The rest of “Research Agent Multi-Source Synthesis Workflow” opens on a plan

You are reading the opening lines. The full prompt (~160 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.

Techniques in this prompt

RAG

A rag technique used to shape and strengthen the model's response.

Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

Learn this technique
Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

Learn this technique

Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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