01 · Predict
Describe what should happen before asking an AI tool to change it.
Vibe coding to verified products.
Learn to turn a useful idea into a small, testable product with AI coding tools—while keeping track of what you asked, what changed, what you checked, and what still needs work.
This is a product concept preview. The course is not open for enrollment, and the prices below are test hypotheses rather than active offers.
Each lesson moves from a small prediction to a change the learner can inspect and verify. The Binder keeps the reason and result together.
Describe what should happen before asking an AI tool to change it.
Make one bounded request and save the prompt or generated version.
Compare the result with the brief, then isolate anything that broke.
Test the user path, record evidence, and choose the next change.
The first six lessons take a learner from a real problem to a clickable, mobile-friendly prototype for one user task.
Planned completion window: 9–20 days, with 14 days as the default. Expected effort: about 6–8 hours.
Define the job, scope, success measure, and failure cases.
Direct the AI, build one path, and save prompt checkpoints.
Show one user path, name two failure cases, and explain what is still missing.
Keep the brief, prompts, generated versions, decisions, and mobile demo together.
Each video is designed as an 8–12 minute chapter, followed by a 20–45 minute practice task. The timings are production hypotheses to test with learners.
Choose one user, one painful moment, and a finish line that can be tested.
Binder: User/problem card
Binder: Scope card v1
Binder: Five examples + two failure cases
Build one mobile-friendly path and keep a record of each prompt and checkpoint.
Binder: Prompt contract
Binder: Runnable first screen
Binder: Generation trail + mobile demo
Make the prototype usable at phone width with clear states and basic accessibility.
Binder: Route map + component notes
Binder: Phone QA checklist
Binder: State inventory
Persist only the records needed to finish the main task.
Binder: Entity sketch
Binder: Core record survives refresh
Binder: Permission matrix + test user
Make one stateful process work from start to finish.
Binder: State diagram + next-action list
Binder: Integration contract; secrets stay out of notes
Binder: Failure-path table
Reproduce a defect, make a bounded fix, and show that prior behavior still works.
Binder: Test blueprint
Binder: Bug report + verified patch
Binder: Before/after proof + regression note
Deploy a safe demo and explain what has and has not been checked.
Binder: Live URL + environment checklist
Binder: Data and rights inventory
Binder: Release passport
Use user evidence to choose whether to improve, support, sell, or stop.
Binder: Event/feedback plan
Binder: Offer and scope card
Binder: Prioritized evolution backlog
Weekly build labs add roughly eight hours across the program. Week 8 ends with a capstone evidence bundle: brief, deployed demo, user path, test plan, verified fix, Binder history, known limitations, and next-step decision.
Keep code ideas, project scope, prompts, generated versions, decisions, bugs, tests, and release evidence in a project notebook you can return to.
Notes in this preview stay in this browser on this device. They are not sent to DV Labs or synced to another device. Do not paste passwords, access tokens, or private client data.
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Opening local notebook…
Start with a capped $149 founding cohort to measure completion and support time. Once learners finish and the full course is produced, test a $249 self-paced package. Open $29 Builder and $79 Studio memberships only when the Binder, monthly practice, and group support are reliably running.
One orientation lesson, one mini-practice, and a sample Binder project.
Six lessons, one guided project, 60 days of Binder access, two group build sessions, and a cohort completion review. Limit the pilot to 10–20 learners.
The complete eight-week, 24-lesson course, capstone templates, and 12 months of Binder access. Self-paced; no private coaching.
All released lessons, Study Binder, practice cards, templates, project prompts, and one new monthly build challenge.
Builder benefits, one monthly group build clinic, member demo room, and one bounded project checkpoint per month. No unlimited one-to-one support.
Recommended launch order: $149 founding cohort → $249 complete course package → $29 Builder / $79 Studio membership after recurring value is proven. These are planning prices, not an active checkout. External AI subscriptions, usage, hosting, and other third-party charges are not included. Annual memberships target about two months free; review retention and delivery cost before publishing them.
A sellable first Sprint is a 30-day target. A complete eight-week curriculum and dependable Binder app are a 60–90 day target, assuming roughly 12–20 focused hours each week and one guided tool path.
Choose the first learner and guided tool path, interview 5–10 target learners, draft six lesson outlines, and recruit the founding group.
Evidence: A clear Sprint brief, six lesson cards, and 10 qualified conversations.
Produce the first six lessons while building manual Binder capture for the brief, prompts, decisions, and export.
Evidence: A usable project path, six lessons, and a sample project with a saved trail.
Guide 10–20 learners through the 9–20 day Sprint and note where they stall, what support takes, and what they finish.
Evidence: Completion data, learner feedback, and a revised Sprint.
Produce Weeks 3–6, improve Binder search and export, and test the capstone with new learners.
Evidence: 18 lessons, a working course/Binder beta, and verified sample builds.
Produce Weeks 7–8, finish the release passport and member access, and establish a recurring build calendar.
Evidence: 24 lessons, an eight-week program, and evidence to decide whether membership is working.
The course pairs brief worked examples with retrieval, spaced review, and learner explanation. The research informs the format; it does not prove a specific runtime or price for this audience. The first cohort should measure whether learners start, finish, and can explain their builds.
Retains its generalized engines, reusable architecture, registries, proof logic, and internal implementation details.
Control their own projects and Binder data, subject to the terms of any third-party tools or models they choose.
Teaching examples use synthetic or permissioned material. A release is a human decision backed by stated checks, known limits, and evidence.
Working name and offer design remain hypotheses until the founding cohort provides evidence.
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