Jobs-to-be-Done (JTBD)
Quick Reference
- Core Job: Delegate complex, multi-step AI reasoning and execution to a reliable system.
- Alignment: Mapping user intent to deterministic system outcomes.
Alex, the Principal AI Architect
| Job Statement | System Feature | Frequency | Importance |
|---|---|---|---|
| When starting a complex task, I want a multi-agent debate, so I can ensure the plan is reviewed for security and efficiency before execution. | Iterative Debate Engine | Daily | High |
| When a plan is approved, I want the system to execute tasks in parallel, so I can reduce time-to-delivery without manual intervention. | DAG Execution Engine | Daily | High |
| When an error occurs in a long chain, I want a full reasoning trace, so I can identify exactly which agent or model failed and why. | Execution Tracing | On Error | Critical |
Jordan, the MLOps Specialist
| Job Statement | System Feature | Frequency | Importance |
|---|---|---|---|
| When a model hits a rate limit, I want an automatic failover to a fallback model, so I can maintain system uptime. | Model Availability Service | High | Critical |
| When the system runs multiple swarms, I want unified structured logs, so I can monitor performance and resource usage at scale. | Structured Logging | Daily | Medium |
Sam, the Kaggle Grandmaster
| Job Statement | System Feature | Frequency | Importance |
|---|---|---|---|
| When competing in a tabular competition, I want the system to use "God-Mode" feature engineering from past experiments, so I can hit high LB scores faster. | Memory System (Similarity Lookup) | Project-based | High |
| When designing an ensemble, I want a consensus-based model stacking recommendation, so I can choose the most diverse and robust model set. | Multi-Agent Debate (Optimizer) | Weekly | High |
Desired Outcomes
- Reliability: 0% silent failures due to malformed JSON.
- Traceability: 100% of actions linked to a unique
trace_id. - Efficiency: Parallel execution of independent tasks in a DAG.