Clay Campbell, Founder — Seawolf AI
If it doesn’t change how people work, it’s not a good project.
1. Measurable Outcome
- Clear before/after metrics
- Time saved, cost reduced, quality improved
- Business value, not just technical novelty
2. Embedded in Workflows
- Built where the work happens
- Integrated with existing tools and systems
- Accessible to the actual users, not just engineers
3. Human + AI Co-Ownership
- AI doesn’t replace the team — it upgrades them
- Humans stay in the loop for critical decisions
- Trust is earned through transparency and iteration
4. It Ships — Then It Scales
- MVP in weeks, not quarters
- Real usage, real feedback
- Scale comes after proving value
Why It Matters
You don’t need more AI projects. You need more AI outcomes.