First 30 days — Understand and map
- Read the AI, ML, deep learning, LLM, and agent pages.
- Choose one role: learner, builder, consultant, founder, business leader, or capital partner.
- Map three real problems you understand.
- Build or review one tiny demo.
- Write a one-page AI opportunity brief.
Days 31–60 — Prototype and measure
- Choose one narrow use case.
- Collect examples and define evaluation criteria.
- Build a small prototype using existing tools or APIs.
- Measure time saved, accuracy, usability, cost, and risk.
- Document what worked and what failed.
Days 61–90 — Operationalize
- Add human review and guardrails.
- Clarify data permissions and ownership.
- Prepare a deployment or pilot plan.
- Estimate budget, maintenance, and success criteria.
- Decide whether to scale, stop, or redesign.
Different paths by role
| Role | Best next action |
|---|---|
| Learner | Build a portfolio project and explain it publicly. |
| Builder | Join a lab-style challenge and ship a working demo. |
| Consultant | Learn AI discovery and ROI mapping for one industry. |
| Founder | Validate one painful problem before building a large product. |
| Business | Run an AI readiness audit and choose one pilot. |
| Capital partner | Study technical due diligence and sponsor a controlled prototype. |