Not a methodology pitch. A working system with 30 years of failure modes baked in.
Every agent runs in a sandbox. Every output faces a hostile reviewer. Every deliverable passes automated quality gates. The methodology is selected per problem domain, not per preference.
of executives lack confidence in AI outputs
trust AI-generated code without review
of agentic projects face cancellation
The gap between “AI can do this” and “AI did this reliably” is an engineering problem, not a prompting problem.
Prompt → hope for the best. No specs, no tests, no review. Fast to start, impossible to maintain.
Human writes, AI suggests. Better than nothing. Still depends on the human catching everything.
Spec-first, multi-agent, adversarial-reviewed. Agents follow contracts, not vibes. This is what Applied Minds builds.
Test-Driven Development
Deterministic systems. Binary pass/fail. Write the test first.
Evidence-Driven Development
Probabilistic outputs. Statistical validation, confidence intervals.
Spec-Driven Development
Formal verification. Mathematical proofs of specification compliance.
Every feature starts with an AI-consumable specification.
Every agent in isolated Proxmox containers.
Every output reviewed by a hostile scoring agent.
Multi-phase: automated tests → adversarial review → architect sign-off.
How we isolate agents and verify every action.
Hostile scoring agents that catch what tests miss.
AI-consumable specifications that drive implementation.
TDD, EDD, or SDD — matched to your problem domain.
Multi-phase verification before anything ships.
Book a technical assessment. See the methodology applied to your problem.
Complimentary 30-minute technical assessment. No commitments.