Orchestration with memory, approval gates, task routing, and evidence.
Complex agent work designed as an operating system with clear roles and observable state.
A real thing you can use, test, show, and decide what to do with next.
I'm David Hustler, an AI-native product builder and systems prototyper. I map the problem, design how people and agents should work together, direct AI coding agents to build it, and push until the idea becomes tangible.
sprint start --brief "field techs lose 40 min a day re-keying job notes"
01 FRAMEbounded question lockedsprint-brief.md
02 MAP9 nodes · 3 agent lanes · 2 human approvalssystem-map.pdf
03 BUILDdirecting agents · ui ✓ api ✓ data ✓prototype v0.4
04 TEST14 scenarios · 11 hold · 3 expose gapstest-record.md
05 DECIDEevidence reviewed · recommend: proceed, with changeswalkthrough.mp4
→handoff packaged for your implementation teamhandoff.md
A sprint, compressed. The method replayed on a sample brief; yours gets the same shape.
You bring the version that is still difficult to explain. I shape it, build enough of it to test, and document what the evidence says.
Most ideas arrive as ten ideas. We pull out the one worth testing: who it serves, the moment it matters, and the claim the prototype has to prove.
Output Sprint brief
Every input, decision, handoff, and failure point goes on one map, including where a human must stay in the loop. Surprises get found here, while they are still cheap.
Output System map
Direct AI agents to create a working prototype with sample or approved data, then test real scenarios.
Output Working prototype + test record
Review the evidence, risks, and unknowns, then recommend proceed, change, or stop.
Output Walkthrough + handoff
CAD $5,000 plus applicable tax · 21 days · 50% reserves · 50% on delivery
Bring one AI product idea or tangled workflow. I turn it into a bounded working prototype, test it, document how it works, and give you a direct recommendation: build it, change it, or stop.
The work already spans products, agent systems, and the infrastructure that keeps ambitious builds moving.
Complex agent work designed as an operating system with clear roles and observable state.
Ideas carried from an early premise through working interfaces and end-to-end flows.
The systems around the product that make iteration safer, faster, and easier to verify.
Every system here was designed, built, and tested end to end by one person, since January 2025.
Modern AI tools hand anyone impressive fragments. A real system is a different animal: state, permissions, handoffs, memory, failure modes, and a dozen tools that each behave differently under pressure. Knowing what to use, where, when, and why only comes from building, over and over, with the tools as they actually are today.
That judgment is what you are hiring.
The sprint ends with a tested prototype, explicit risks, and a practical handoff. Security certification and production-grade implementation belong with your qualified engineering team or the right production partner.
Send me the messy version. A short note about the idea, who it is for, and what you wish it did is enough.