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Strategy · Apr 18 · 9 min

What to Build First with AI: A 5-Question Framework

Most founders walk into an AI conversation with a list of ideas and no way to rank them. Here's the five-question framework I use on every Assessment to turn that list into a single, defensible first build.

Scott Campit, PhD
Founder, Torchstack
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Vendor evaluation · Apr 11 · 7 min

How to Vet an AI Vendor When You're Not Technical

Five questions that will tell you whether a vendor is selling real engineering or a wrapper around a model anyone can use. Plus the answers that should end the conversation.

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Build vs. Buy · Apr 4 · 11 min

Build, Buy, or Wait: The AI Infrastructure Call

When it's worth running your own model serving, when SaaS wins, and the third option most founders don't consider. With a decision flowchart you can use this week.

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Hiring · Mar 28 · 8 min

Hiring Your First ML Engineer: A Non-Technical Founder's Playbook

How to write the JD, screen for real ability versus resume keywords, run the technical interview without being technical, and avoid the three patterns that look great on paper but fail in practice.

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Strategy · Mar 7 · 7 min

When AI Is a Distraction: A Founder's Case for Not Building It

The single most useful sentence I say on intro calls. If your AI plan is driven by a board question, an investor pitch, or peer pressure, here's the math on why 'not yet' is often the right answer.

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The 5-Question Framework: What to Build First with AI.

A short workbook I use on every Assessment. Five questions that move you from “we should probably do something with AI” to a specific, scoped first build. Use it on your own, or bring it to your next leadership offsite.

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Torchstack · Workbook
The 5-Question Framework: What to Build First with AI.