Workflow stack maps
Decide the AI stack your team can actually roll out by workflow
Each workflow connects stages, recommended stack templates, cost overlap, alerts, and decision memos into the existing comparison, pricing, and alternatives evidence layer.
01 / Team
AI workflow stack for engineering coding teams
Most teams should start with GitHub Copilot as the governed baseline, add Cursor only for developers who will use the agentic workspace heavily, evaluate Windsurf 2.0 when local Cascade plus cloud Devin operations are the thesis, use ChatGPT Codex or Claude Code plugins for reusable workflow packages, and keep Grok Build as an early-beta pilot. Copilot review usage now needs explicit AI Credit and Actions-minute budgets.
Open stack map
02 / Team
AI workflow stack for research to decision memo
Use Perplexity for web-grounded discovery, NotebookLM when the corpus is fixed, and ChatGPT or Claude when the output must become a clear decision memo.
Open stack map
03 / Team
AI workflow stack for meeting to action
Meeting-heavy teams should choose around the workspace where actions actually live: Microsoft 365 Copilot Business for Microsoft teams, Gemini for Google teams, and ChatGPT or Notion AI when the action memo needs broader synthesis.
Open stack map
04 / Team
AI workflow stack for document-heavy writing teams
Use Claude or ChatGPT for high-quality drafting, NotebookLM or Perplexity when evidence must stay visible, and Notion AI when the workflow has to live inside team docs.
Open stack map
05 / Team
AI workflow stack for design to prototype to deploy
Start with Figma Make when design-system context is the source of truth, use v0 when the team already wants a Vercel-native front-end path, choose Bolt or Lovable for faster prompt-to-app iteration, and keep Replit in the stack when hosted execution and handoff matter more than design fidelity.
Open stack map