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This page shows 25 practical ways your Agent can do work for you to speed up your product development lifecycle—from research to building databases and content—right inside Notion.

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Getting Started: What You Should Know About Agents

  1. These prompts and use cases were written specifically for teams that touch the product development lifecycle — product, engineering, and design teams
  2. Agents plan multi-step tasks, use connected tools, and create real outputs you can edit and share
  3. All use cases below have been vetted and work today; many require specific information and integrations in your Notion workspace (e.g., analyzing sales meetings requires storing meeting notes in Notion)
  4. When using these prompts, adjust them to your specific use case and point the Agent to needed information by tagging, selecting, or uploading sources
  5. Best results come when your source information lives in Notion or connected apps (Slack, Google Drive, Jira, Gmail). Learn more about AI connectors here.
  6. Always review Agent outputs; you can ask for edits and follow-ups — undo and version history keep your edits safe

Engineering and Product

1. Brainstorm Actioner

✏️ Prompt: "Complete this project brief using the context from our previous discussions and requirements”

🪄Agent Steps: Collects prior discussions and docs, extracts requirements, and drafts a complete brief with scope, goals, milestones, and risks. Highlights assumptions and open questions, proposes timeline, owners, and next steps. Uses synthesis and planning.

2. Partnership Evaluation

✏️ Prompt: "Create a scoring framework and score current partner candidates.”

🪄Agent Steps: Builds criteria, applies scores, recommends next steps. Uses database creation and scoring.

3. Market Entry Strategy

✏️ Prompt: "Research the EU market and suggest an entry plan with timeline and key risks.”

🪄Agent Steps: Performs web research, drafts plan, links sources and assumptions. Uses web search and planning doc.

4. SWOT Analysis

✏️ Prompt: "From market notes, competitor data, and internal docs, produce a SWOT for the new product line. Pull competitor moves from recent press and pricing pages, and cite sources.”