A companion to AI Across the Product Development Lifecycle. Part 1 is the checklist, check off what your team already uses, circle one gap per phase to try next. Part 2 is my own stack, so you can see what I actually use versus what’s just on the list.

Part 1: The checklist

Discovery and research

Writing copilots

• [ ] AI knowledge base researcher — Glean, Onyx, Notion AI, Microsoft Copilot with Graph connectors
• [ ] Business value / case research assistant — no new tool needed, a basic Claude, ChatGPT, or Copilot project
• [ ] Transcript analyzer — Otter.ai, Fireflies.ai, Grain, Fathom

Interview copilot + standalone agent

• [ ] AI-moderated interview tools — Outset, Listen Labs, Strella, Userology
• [ ] AI-moderated interview tools with synthesis — Outset or Listen Labs, paired with Dovetail

Building copilot

• [ ] Quick technical discovery or validation — Claude Code, GitHub Copilot, Replit Agent, Lovable, Bolt.new

Data / query copilots

• [ ] Structured data query assistant — ThoughtSpot Spotter, Power BI Copilot, Looker with Gemini

Autonomous agents

• [ ] Continuous discovery agent — Perspective AI, Enterpret

Ideation and requirements

Writing copilots

• [ ] PRD or spec drafting assistant — no new tool needed, a basic Claude, ChatGPT, or Copilot project