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Testimonials &
Success Cases.
Product leaders don't buy conviction — they buy evidence. Named teams, measured outcomes, and the operating model that produced them.
What product people say.
Four voices from the teams that put the Agentic Product OS to work.
We rolled it out with 12 different product teams, saving us an incredible amount of time and money. Instead of burning resources trying to validate whether our product directions were solid, we saw results backed by statistically sound, data-driven insights. It just works!
Cleyton MessiasGPM at Reclame AquiThe product synthesized concepts from the greatest minds in product management and masterfully connected the bridge between established frameworks and the most recent advances in artificial intelligence.
Guilherme EbisuiGPM at Reclame AquiThe experience is simply transformative. The AI not only delivers impeccable execution but also impressively adapts to what truly matters for your business. The quality of work is so high that it feels like collaborating with a human.
Jaime V. De BarrosVP at AdobeI'm amazed at the results I get in just a few hours.
Eduardo ProtaManaging Director, Latin America at OobitThree builders. Two weeks. The work seven people needed twelve to ship.
The AI-First Product Operating Model transformation at Reclame Aqui is definitive proof of how Masterminds AI fundamentally alters the economics of product development — moving from bloated, conventional team structures to high-agency, AI-powered builder teams running Silicon Valley-grade frameworks.
The three-builder team (Product, Design, Engineering) shipped a meaningful release in two weeks. A comparable conventional team of seven needed twelve weeks — about three months — for the same class of work. Same unit on both sides.
Cost tracks effort in this comparison: 3,360 hours for the conventional team — seven people, twelve weeks, full time — against 240 for three builders in two. The difference is that the appropriate product-development frameworks were executed at AI speed, with quantitative data and state-of-the-art prompts, corporate context, integrations and memory.
Over six months the Agentic Product OS spread from the first pilot wave of 12 teams to 24 — repeatable and sustainable at organizational scale, not an isolated experiment.
Agentic Product OS
The catalyst was a layer human-only teams simply do not have: structural governance, prompt and context engineering, a corporate library, memory, and automated execution.
Contextual Integrity
The system acted as a Single Source of Truth, ensuring every feature and every code commit tracked directly back to the organizational OKRs. That eliminated the ambiguity that historically trapped engineering resources in long, unvalidated cycles.
Governed Autonomy
Instead of rigid manual handoffs, the three-person builder team directed specialist agents across the entire product lifecycle — from discovery and OKR planning through design and delivery. The team's identity shifted from functional silos to one unified, outcome-driven builder team.
Competitive advantage is no longer a function of headcount or volume of output. It is a function of the AI-First product operating system that lets human builders direct agentic capability toward high-value, evidence-backed outcomes.
Your numbers are next.
Bring one real product decision. See what a governed builder team does with it.