OPRATORS — AI OPERATOR 90-DAY ROADMAP
Use AI to build, not to think.

WEEKS 1–2: FOUNDATION
[ ] Learn model context, output checking, APIs, data basics, and human review.
[ ] Build two small systems using safe sample data.
[ ] Write down what each system can and cannot do.

WEEKS 3–4: MARKET
[ ] List three markets you can reach.
[ ] Complete ten workflow interviews in the strongest market.
[ ] Score the niche using access, pain, frequency, budget, repeatability, and interest.
[ ] Choose one buyer, one workflow, and one result for a 30-day test.

WEEKS 5–6: PROBLEM AND PROTOTYPE
[ ] Map the current workflow.
[ ] Measure the bottleneck baseline.
[ ] Define sensitive data, human approval, failure, and recovery.
[ ] Build the smallest useful demonstration with sample data.

WEEKS 7–8: VALIDATION AND OFFER
[ ] Show the demonstration to five people in the market.
[ ] Record objections, missing steps, and trust requirements.
[ ] Write one clear offer: buyer, problem, result, scope, timeline, and exclusions.
[ ] Create a delivery floor and pricing range.

WEEKS 9–10: CLIENT CONVERSATIONS
[ ] Build a focused list of reachable prospects.
[ ] Send useful, personal outreach that follows applicable law.
[ ] Run discovery calls without forcing the solution.
[ ] Follow up with a specific next step.

WEEKS 11–12: DELIVERY READINESS
[ ] Prepare the agreement, scope, change rule, and payment milestones.
[ ] Create testing, privacy, security, approval, and recovery checklists.
[ ] Prepare training and operating documentation.

WEEK 13: REVIEW
[ ] Count interviews, demonstrations, outreach, calls, proposals, and client revenue.
[ ] Document what worked, what failed, and what changed.
[ ] Decide what to repeat for the next 90 days.

WEEKLY SCOREBOARD
Hours worked:
Interviews:
Build sessions:
Demonstrations:
Outreach sent:
Discovery calls:
Proposals:
Collected client revenue:
Evidence saved:
Most important lesson:
Next week's single priority:

Results are not guaranteed. The purpose of the roadmap is consistent, documented practice and evidence-based improvement.