What problem does it solve?
Guide product managers through selecting the right PoL probe flavor based on their hypothesis, risk, and available resources, ensuring the cheapest prototype reveals the harsh truth rather than the prototype they're most comfortable building.
Core Features & Use Cases
- Adaptive context gathering: the agent collects hypothesis, risk, timeline, and resource inputs to tailor validation.
- Five PoL probe flavors: Feasibility Check, Task-Focused Test, Narrative Prototype, Synthetic Data Simulation, and Vibe-Coded PoL Probe.
- Structured decision workflow: Step 0 context, Step 1 core question, Step 2 recommended probe, Step 3 execution planning, Step 4 optional refinement.
- Artifact generation: option to produce a
pol-probe.md artifact documenting hypothesis, success criteria, timeline, and disposal plan.
- A real-world guide: when faced with a risky AI concept and a short window, the framework recommends a suitable probe to learn fast.
Quick Start
Describe your hypothesis, risk, timeline, and resources, and I will guide you to the right PoL probe.