
Engineering
Build an AI workforce you can trust.
The architecture, honesty systems, and governance behind a team of AI agents.
I run my businesses with a team of AI agents, each with a job, a memory, and rules it can't break. This is how it's built: the architecture, the honesty and safety systems, the mistakes, and where robotics fits next.
Start here
Design the workforce
Make it trustworthy
- The Operator's Honesty Stack
- The Trust Skeleton: How I Stopped My AI From Blending Facts With Guesses
- Frame Sensitivity: When the Wording Does the Thinking
Govern it
Robotics
Robotics now has its own home: davedepew.com/robotics, where the agents head into physical work.
Built in public
Each week: what the agents actually did, with receipts. When they got something wrong, that's in it too.
Next step
Explore the other divisions
Dave DePew Enterprises runs as eleven divisions, each building in public. Here is where the rest of the work lives.
- Business: Getting customers, selling with integrity, keeping members, and running the numbers.
- Media: Creating, repurposing, and managing content that earns attention.
- Security: Keeping the systems, the data, and the agents safe.
- Intelligence: Research, signals, and the insight behind decisions.
- Events: Competitions and events, from planning to results.
- Education: Teaching: the Academy, courses, and coaching.
- Performance: Human performance: training, nutrition, and recovery.
- Robotics: Taking the agents into physical work.
- Games: Games and simulations that teach and entertain.
- Construction: AI for trade and construction businesses.
