Practical notes on MVP development, AI integrations, and improving existing products.
Notes from the workbench—what we are learning while building useful products.
What AI agent development really costs: realistic ranges by scope, what drives the price, how token and infrastructure costs add up at run time, the costs teams forget, and how to keep the budget under control.
Read MoreFreelancer or development company for your MVP? A practical comparison of cost, skills, risk, and ownership, when each option wins, and how to vet whoever you hire before you sign.
Read MoreA realistic look at what MVP development costs: typical ranges by complexity, what drives the price, hidden costs founders miss, and how to cut scope without shipping a product nobody can use.
Read MoreA step-by-step approach to product discovery that stops teams from committing engineering time to the wrong problem.
Read MoreA practical framework for building a product roadmap that prioritizes real user impact over the loudest internal request.
Read MoreYour MVP shipped and got its first users. Here's how to decide what to build next on the road to product-market fit.
Read More