Problem & Solution

The "Deterministic Test" Gap

TDD is Not Enough for AI

Traditional unit tests check if a function returns a string. But in agentic systems, the code can be "correct" while the outcome is a total failure. ODD closes this gap by shifting from syntax validation to Goal Validation.

Problem & Solution

Semantic Failure Detection

Capture What Logs Miss

Aden’s ODD engine detects semantic and logical failures—like an agent being polite but failing to process a refund. It captures these "soft failures," updates the Goal Object, and triggers a recursive refactor.

Problem & Solution

Eval-to-Evolution

Autonomous Self-Healing

When things break, Aden captures the failure data (semantic and logical). It doesn't just log an error; it evolves the agent through the coding agent and redeploys a smarter version.

Module

Architect, Deploy, & Evolve Autonomous Swarms

Stop hardcoding brittle workflows. Aden uses a recursive, outcome-driven engine to synthesize agent logic from natural language goals. Build reliable workforces that self-correct and improve with every execution.

Join the community of developers killing the "linear era" of AI. Deploy the Hive today.

How It Works

The Execution Engine for High-Agency Swarms

The complete infrastructure to deploy, audit, and evolve your AI workforce. Move from brittle, manual chains to validated, self-healing outcomes.

Intent-to-Object Mapping

The Queen Bee translates your natural language into a Goal Object. This is the single source of truth defining your success criteria, constraints, and automated tests.

Logic Evaluation

Real-time Trace Monitoring. Aden tracks Goal Velocity instead of just logs. It detects logical drift and recursive loops in real-time, identifying where agent architecture hits friction.

Outcome Insights

Reliability Analytics. We convert raw execution data into "Outcome Metrics." Aden tells you exactly which nodes are achieving goals and which logic paths require semantic refactoring.

Recursive Evolution

Autonomous Self-Healing. When a goal is missed, Aden captures the failure trace. The engine refactors the node-graph and redeploys a smarter version automatically—no manual debugging required.

The Execution Engine for High-Agency Swarms

The complete infrastructure to deploy, audit, and evolve your AI agent workforce. Move from brittle code to validated outcomes.

The Outcome-Driven Development Engine (ODD)

Problem & Solution

The "Deterministic Test" Gap

Problem & Solution

Semantic Failure Detection

Problem & Solution

Eval-to-Evolution

Module

Architect, Deploy, & Evolve Autonomous Swarms

Queen Bee

Adaptive Worker Swarm

Filesystem Memory & State Layer

The Execution Engine for High-Agency Swarms

Intent-to-Object Mapping

Logic Evaluation

Outcome Insights

Recursive Evolution

The Execution Engine for High-Agency Swarms