Pick your goal. Choose tools for each step. See your workflow cost and time live. Save and share your stack.
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Most people use AI tools one at a time. The real productivity gains come from chaining them — each tool's output becomes the next tool's input. A 3-tool workflow can do in 20 minutes what used to take a full day.
Define what you want to produce: a blog post, a product video, a weekly report. Work backwards from the final output to understand which AI tools you actually need at each stage. Don't add tools that don't earn their place.
Break your goal into stages: research → draft → edit → publish, or plan → design → export → schedule. Each stage can have one AI tool. More than 5 tools in a workflow usually means you're overcomplicating it.
Run the workflow on one real task before treating it as your system. You'll find the bottleneck — usually a tool that produces output the next tool can't use without manual cleanup. Fix that handoff first.
A workflow you can't measure won't stick. Log how long the task took before and after. If you're not saving at least 40% of the time, the workflow needs simplifying — not more tools.
Perplexity (research the topic + find angles) → Claude (write the draft, outline, and captions) → ElevenLabs (turn the script into voiceover). Total AI cost: ~$25/month. Time saved per piece: 3–4 hours.
Claude (script) → ElevenLabs (voiceover) → Runway (b-roll and transitions) → Descript (edit, captions, final export). Full video production without a camera or editor.
Cursor (write and edit code in full IDE context) → Claude (architecture review, documentation, edge cases). Cursor builds, Claude checks. Works for solo developers moving at startup pace.