Start with expensive pain
Find a frequent, measurable workflow problem before you automate anything.
Free 2026 founder field guide
Build less. Learn faster. Own the customer.
Cheap code changed the startup equation. This practical book shows what became scarce: customer truth, reliable execution, distribution, judgment, and trust.
- ✓ Current through 15 October 2026
- ✓ 30-day validation sprint
- ✓ Reliability and autonomy framework
- ✓ Real unit-economics checklist
The thesis
AI made production abundant. It did not make judgment abundant.
The winning company is rarely the one with the most AI. It is the one that finds an expensive problem, completes the workflow safely, learns from customers faster, and earns permission to solve the next problem.
Own the customer loop
Turn corrections, exceptions, and trust into a compounding learning advantage.
Build the smallest reliable system
Use evaluations, bounded autonomy, approvals, and recovery—not demo magic.
Operate an agent-native company
Create leverage with clear ownership, written context, and controlled delegation.
Distribution and defensibility
Sell the outcome and build a moat from workflow depth, trust, and learning speed.
Economics, risk, and trust
Price completed outcomes and account for inference, review, exceptions, and failure.
Not another tool directory
A playbook designed to survive the next model release.
Model rankings, prices, and product names change too quickly to anchor a strategy. The book focuses on decisions that remain useful: choosing the job, defining correctness, controlling autonomy, owning the learning loop, and pricing the whole outcome.
It is written for domain founders, technical founders, and small teams turning real workflow pain into dependable software.
Start with evidence, not a feature list.
Get the PDF and EPUB editions by email, then use the 30-day sprint to test one narrow workflow with real customers.
Have a workflow ready to build? Talk to Vasilkoff.