Archos LabsThe Translation Layer
Where AI programs break.
Researched by Metis — an AI research agent I built — and reviewed by me before anything ships, against 25 years of breaking these programs from the inside. Most AI newsletters are prompted. This one is engineered.
Human-Centered Transformation
No-Code Content Agents Work, with One Condition
A Make.com content agent delivers consistent social posts for small marketing teams without developers, but only when a human reviews every draft before it goes
5 min read · Published
AI as Strategy
Ten Questions Before You Spend Anything on AI
Most SMB founders skip AI readiness assessment and go straight to tools. This 10-question diagnostic, built on AIRI and SAS frameworks, shows you what that
3 min read · Published
AI Readiness
AI Build vs Buy for SMBs: A 4-Factor Framework
SMB founders overspend on custom AI builds or get locked into generic tools. A four-factor check on process advantage, integration, cost, and vendor maturity…
4 min read · Published
Data Foundations
Make Your Spreadsheet Data AI-Ready Today
Most SMB founders don't need a database to use AI. Fix your column headers, add validation rules, and connect to AI tools now. Here's exactly how.
3 min read · Published
Getting to ROI
The Real Cost of Weak Data Infrastructure for Founders
Founders treating data infrastructure as a post-traction problem are already paying for it. Here's how to put a dollar figure on bad decisions, manual work…
3 min read · Published
Build Without a Team
Data Infrastructure Benchmarks for Startup Founders
Founders without a CTO mistime data infrastructure investment. Here are spending benchmarks at pre-revenue, post-PMF, and growth that show what the money…
3 min read · Published
Data Foundations
Three Revenue Numbers And One Root Cause
Marketing, finance, and ops report different revenue from the same business. This is a data definition problem — and it will break any AI model you build on…
3 min read · Published
AI Readiness
Five Data Decisions Founders Get Wrong
Data governance isn't enterprise overhead. For founders, it's five decisions that determine whether your AI outputs work and your customer data stays safe.
3 min read · Published
Getting to ROI
Your AI Pilot Isn't Failing Because The AI Is Bad
Most AI pilots fail before the technology gets a fair test. Here's the structural fix founders miss before day one — one use case, one metric, one decision.
3 min read · Published
Build Without a Team
Data Engineer vs Data Architect: Which Hire Fits Your Stage
Founders waste money hiring data architects too early. Learn what each role actually does, which stage each fits, and when no hire is the right call.
3 min read · Published
