You are using three AI tools when one stack would do it better.
- Jul 2
- 2 min read
The Insight
Most transformation leaders are treating AI tools like a buffet: a little ChatGPT for emails, some Perplexity for research, back to Google Docs for the final draft. It feels productive because you are using AI. But you are spending more time copying and pasting between tools than you would spend just writing the thing yourself. The work is not getting faster. It is getting fragmented.
Here is what changed for the practitioners who are actually saving time with AI: they stopped hopping between tools and started stacking them. AI stacking means connecting two or three tools so they hand work to each other automatically. Claude drafts, Perplexity fact-checks, Make moves it into your workflow without you touching it. The output is better because each tool does what it is best at. The time saved is real because you are not the integration layer anymore.
The mistake most leaders make is assuming stacking is technical. It is not. It is procedural. You are not coding. You are deciding which tool does which task, then connecting them with something like Make or Zapier that does the technical work for you. Fifteen minutes of setup saves five hours a week once the stack is running.
One Thing to Try This Week
Pick one repetitive task you do weekly that touches three tools -- like pulling meeting notes from Slack, summarizing them, and emailing the summary to your team. Map which AI tool would handle each step best. That is your first stack. You do not need to build it yet. Just map it.
Fix a Failing Transformation: The 5 Things to Do This Week
AI Stacking for Beginners: Set Up Claude + Perplexity + Make in 60 Minutes
Live build session. Set up a working three-tool AI workflow from scratch while following along on your laptop. By the end of the session, you have a working AI stack you can use at work on Monday.
Wednesday, July 30 · 6:00 PM CAT · 11:00 AM CDT (Austin)
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