Read
The original blueprint
PDF and EPUB formats for planning a focused AI product.
For developers turning an AI idea into a product
Test your AI SaaS idea
before you build it.
A practical blueprint and seven editable worksheets to help you check demand, define a focused first version, and test the risky parts—before weeks disappear into code.
$19 USD · One-time payment · PDF, EPUB + 7 editable worksheets
Blueprint + 7 editable worksheets
See what’s inside the kit Start where you are
I’m learning to code
Build confidence with inputs, asynchronous work, UI state, databases, forms, and meaningful tests.
Start the free foundations path →I can code and want to ship
Find a recurring problem, test demand manually, and define a small first release before adding features.
Start the free validation path →What your $19 buys
A plan you can actually work through.
Decide
Seven editable worksheets
Demand scorecard, interview questions, scope, prompt tests, unit economics, launch checklist, and seven-day plan.
Ship deliberately
A smaller first release
Use acceptance criteria and cost limits to decide what to build, test, and leave out.
Peek inside the kit
Real worksheets. Real examples.
A few small excerpts from the editable templates included in the kit.
01 / Demand scorecard
Is this problem showing up repeatedly?
Repeated problem2 / 2
Reachable buyers1 / 2
Data permission1 / 2
Score 0 for an assumption, 1 for one example, or 2 for repeated evidence. A score starts a conversation; it doesn’t prove demand.
02 / Customer interview
Ask about what already happens
- What triggered the work the last time?
- Can you walk me through the steps and tools?
- What did the last error or delay cost?
The worksheet helps capture exact quotes, workarounds, and a useful next action—not just opinions about an idea.
03 / One-page scope
Make the first version concrete
- Input
- One consented set of meeting notes
- Output
- A client update draft with source excerpts
- Rule
- A person checks every factual statement
- Exclude
- CRM sync and automatic sending
04 / Prompt-test worksheet
Check edge cases, not only happy paths
Conflicting factsTest case
Instructions inside inputTest case
Provider timeoutTest case
Record expected and actual behavior, pass/fail, cost, and latency for each case.
Choose your next step
Useful whether you buy or not.
Still exploring?
Work through the free learning paths, from fundamentals to validation and launch.
Find a learning path →Ready to plan?
Get the blueprint and all seven worksheets together for $19.
See purchase details →Want code instead?
A separate self-serve project kit is in development. Join the interest list for updates.
See the project-kit plan →The AI SaaS Launch Kit
Your next experiment,
on one page.
Original PDF + EPUB, seven editable CSV/Markdown worksheets, and worked scope example. Read offline and adapt the templates to your own project.
Planning material only. No source-code starter, personal coaching, or promised income.
$19 USD
One-time payment. No subscription. 30-day money-back guarantee.
Secure Stripe checkout. Download after payment; delivery link also sent by email. Charged in USD.
Purchase and refund termsBefore you buy
Is this for complete beginners?
The planning worksheets work at any level. Building the product still requires programming skills. Start with the free foundations path if you are new.
Is a working SaaS codebase included?
No. This product is a blueprint and editable planning worksheets. The separate project kit is in development and is not for sale.
Does it guarantee a launch or income?
No. The seven-day plan is a template for running experiments. Demand, implementation time, and revenue depend on your product and evidence.
How do I get the files?
After Stripe confirms payment, use the download button on the confirmation page. We also email a link to the address used at checkout. Contact support if delivery fails.
Can I preview it first?
Yes. Open the free demand scorecard and worked example, with no email required. Email signup is optional.
Small products. Clear decisions.
learnprogramming.tips publishes practical learning material for developers. We explain assumptions, show worked examples, and connect each guide to a useful next step.
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