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Product design notes spanning AI agent UX, MVP design and outcome-based delivery for startups.
How we design and build AI agents that survive production, not just the demo — feasibility proof, behavior prototypes, tested action maps, provider fallbacks, and an outcome-based model where you pay only when the agent works.
By Alexander Vinokurov
A field guide to designing AI agents people actually trust — six UX patterns for control, autonomy, uncertainty, memory, voice, and failure, each drawn from agents we have shipped.
By Alexander Vinokurov
How we build startup MVPs without upfront payment — an outcome-based, phase-by-phase process where you pay only for results you approve, delivered as design plus working code in about two to three weeks.
By Alexander Vinokurov
A practical guide for startups that want visibility in Google, AI Overviews, ChatGPT, Perplexity, Claude, and other answer engines.
By Alexander Vinokurov
What design subscriptions cost in 2026: verified monthly prices for ManyPixels, Penji, Awesomic, Teamtown, Eleken, DesignJoy, Designity, Superside and 99 Francs, what each budget level buys, and which plan fits an MVP.
By Alexander Vinokurov
A founder's checklist for choosing a design subscription for an MVP: what to check, code handoff and file ownership, red flags to avoid, and a scorecard for comparing candidates.
By Alexander Vinokurov
Bringing your idea to life as a mobile app MVP is no small task. Launching quickly while delivering a seamless user experience is crucial to validating your concept and securing early traction.
By Tetyana Vinokurova
