Clay Campbell, Founder — Seawolf AI
You don’t need a roadmap. You need a runway.
1. Frame the Problem
- What pain are we solving?
- Who owns the outcome?
- What’s the fastest way to learn if AI helps?
2. Find the Data
- What data do we already have?
- Is it accessible, relevant, and labeled?
- Do we need to synthesize or simulate to move faster?
3. Define Success
- What’s a win in 5–10 days?
- Can we reduce a process, decision, or manual effort?
- Is there a clear way to measure impact?
4. Build, Test, Break
- Create an agent, model, or workflow.
- Throw edge cases at it.
- Iterate fast. Cut scope. Ship something usable.
5. Capture the Learning
- What worked?
- What failed?
- What would make it ready for production?
Why It Matters
AI Sprints are momentum engines — they reveal what’s real, what’s possible, and what’s next.