Humans set the direction
AI agents can research, design, code, test and collaborate, but the founders set the objectives, make critical decisions and remain responsible for what is built.
idappt is an AI-native engineering lab where its founders learn to orchestrate AI agents and build applications for citizens.
idappt brings its founders and tech together to develop apps that mitigate real-world problems. Today there are many problems and needs on this planet that affect people in everyday life. At idappt we learn about — and experiment with — the latest software-driven technologies to build apps that mitigate these problems, develop solutions to make life more pleasant and simulate future social and business formats.
AI agents can research, design, code, test and collaborate, but the founders set the objectives, make critical decisions and remain responsible for what is built.
We learn by building. Ideas are turned into prototypes and working applications, tested against real problems rather than explored only in theory.
We document our experiments, methods, successes and failures. This creates a growing record of what works — and what does not — when humans and increasingly capable AI agents build together.
idappt is being developed as an independent non-profit foundation and is currently in its pre-incubation stage. This model is intended to give the lab the freedom to pursue long-term experimentation, practical applications and open learning without being driven primarily by short-term commercial objectives.
context engineering | system design | AI-native engineering | orchestration
vision | fundraising | tiebreaker
stack | architecture | routing