Launch stage · Module 15 of 15
Outcome for this lesson
Launch a bounded offer with safe payment, delivery, support, honest claims, measurable stop rules, and a complete evidence packet.
Bring forward: Bring every artifact from the project card through the pricing record.
Produce: A capstone launch packet and a documented continue, change, or stop decision.
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Recommended prerequisite: complete Module 14, “Set a Testable Price and Paid-Pilot Boundary,” and bring its artifact. You may still use this page as a reference.
Launch stage
Build the next result
The capstone is not a launch announcement. It is the complete evidence chain showing what is promised, how it is delivered, what it costs, how people are protected, and when to stop.
Your result for this module
A capstone launch packet and a documented continue, change, or stop decision.
Continuous case study
Worked example: Capstone decision
The tracker pilot has a specific freelancer audience, validation notes, a narrow brief, verified critical journeys, accessibility and security boundaries, a cost model, rollback plan, price test, support path, and honest claim language. The owner launches only the bounded pilot and schedules 7-, 30-, and 90-day reviews.
Do the work
Assemble the evidence packet
Link the project card, review boundary, research memo, validation record, model decision, brief, prompt, build record, accessibility, security, tests, costs, release, and pricing records.
Complete the buying and delivery journey
Confirm the customer can understand fit, decide, pay safely, receive the result, get help, and request a refund under clear terms.
Publish only supported claims
Separate hypotheses, observed results, atypical outcomes, and material limits. Never present planned results as achieved.
Apply review and stop rules
Track visits, qualified conversations, checkout, paid orders, fulfilled orders, support, refunds, retained use, and referrals separately. Decide continue, change, or stop.
Copy-and-complete template
Create your module artifact
Audience, problem, and evidence: Offer, fit, and exclusions: Product and test evidence: Accessibility, privacy, and security boundaries: Payment, delivery, support, and refund path: Costs, price, and pilot terms: Honest claim and limits: 7/30/90-day metrics: Stop and escalation rules: Final continue/change/stop decision:
Keep sensitive information, passwords, API keys, payment data, and private customer details out of course notes and AI prompts.
Quality gate
Check the result before the quiz
- Every important claim points to evidence.
- Payment, fulfillment, support, and refunds work as one journey.
- Metrics distinguish attention, payment, delivery, and retained use.
- The launch owner has written stop and escalation rules.
How this moves the project forward
The course is complete when the evidence packet supports a responsible decision—not merely when every page has been opened.
Final completion review
Make a decision from the complete evidence packet
Course completion means you can trace a small project from a defined user problem through validation, build evidence, responsible operation, pricing, and a launch decision. It is not a certification, income promise, or substitute for qualified legal, security, tax, accessibility, or professional review.
0 of 15 core modules complete (0%)
Capstone artifact inventory
- Module 1 — What Is Vibe Coding? A Responsible Builder’s Starting Point: A one-sentence project outcome, intended user, important constraint, and failure case.
- Module 2 — Vibe Coding Is Not Magic: Set the Human Review Boundary: A four-item human-review boundary covering facts, requirements, risks, and tests.
- Module 3 — Research with AI Agents: Find, Compare, and Cite Evidence: A one-page evidence memo with three claims, source links, confidence, and next verification actions.
- Module 4 — Validate the Problem and Offer Before You Build: A validation record containing five interviews or observations, one honest offer test, a threshold, and a continue/change/stop decision.
- Module 5 — Choose Cloud, Local, or Hybrid AI for the Validated Job: A model-choice decision table with requirements, tradeoffs, test result, and fallback.
- Module 6 — Turn the Validated Idea into a One-Page Build Brief: A completed one-page build brief for the course project.
- Module 7 — Convert the Brief into a Testable Build Prompt: A reusable nine-part prompt plus acceptance-test list.
- Module 8 — Build and Verify the First Useful Slice: A working thin slice with a version label, test record, known-limit note, and screenshot or demonstration.
- Module 9 — Build Accessibility into the Working Slice: An accessibility test record with failures found, changes made, remaining limits, and retest evidence.
- Module 10 — Apply Security and Privacy Boundaries: A security and privacy boundary sheet with data inventory, permissions, secrets, retention, backup, and update owners.
- Module 11 — Test, Debug, and Prove the Important Journeys: A test matrix plus one complete bug record from reproduction through verified regression testing.
- Module 12 — Calculate the Full Cost of Delivering the Result: A low, base, and high monthly cost worksheet with assumptions and review dates.
- Module 13 — Prepare a Reliable Deployment and Recovery Path: A release packet containing version, staging results, backup evidence, monitoring checks, owner, and rollback steps.
- Module 14 — Set a Testable Price and Paid-Pilot Boundary: A pricing decision record with unit, scope, floor, scenarios, pilot price, evidence threshold, and revision rule.
- Module 15 — Launch Responsibly and Present the Course Capstone: A capstone launch packet and a documented continue, change, or stop decision.
Four readiness gates
- User evidence: a specific audience demonstrated the problem and took a meaningful next step.
- Product evidence: critical, edge, accessibility, privacy, security, failure, and recovery journeys were tested.
- Operating evidence: costs, ownership, monitoring, support, backup, and rollback are defined.
- Commercial boundary: scope, price, payment, delivery, refund, honest claims, and stop rules are clear.
Final decision record
Decision: continue / change / stop Evidence supporting the decision: Weakest remaining assumption: People or data that could be harmed: Next bounded experiment: Success threshold: Stop rule: Owner and review date:
Choose continue only for a bounded next step supported by the packet. Choose change when evidence supports the problem but not the current scope, delivery, or price. Choose stop when the threshold is missed or the risk cannot be responsibly controlled.
Evidence checkpoint and lesson summary
Confirm the artifact, then answer the key questions
The questions cover a core idea, a realistic decision, and evidence from the lesson. Incorrect answers identify concepts to review; they are not a complete measure of your experience or ability.
Confirm the artifact and answer all three questions correctly to unlock the recommended next step.