Formative Labs · The AI-Operable Product
Most products are human-operable. Almost none are AI-operable.
A product that cannot express how it operates cannot be reliably reasoned about by an AI operator. That is a property of the product, not of the model or vendor stack.
What AI-operable means
An AI-operable product exposes enough explicit operational context for a human or AI operator to observe what is happening, reason about why it is happening, determine what can safely be done, verify the result, and learn from the outcome.
Seven operating primitives
- Outcome Intent: What does success mean?
- Journey Context: Where is the user?
- Workflow Map: How does work move?
- Recovery Path: How does failure resolve?
- Policy Boundary: What must not happen?
- Safe Actions: What can be done?
- Feedback Loop: How does the product learn?
Assess the operating surface
The open AI-Operable Product Agent Skill reconstructs the operating state of a product or customer journey from fragmented enterprise evidence. It assesses measurable outcomes, observable journeys, explainable failure, designed recovery, governed actions, enabled support, and a feedback loop. Results are reported as PASS, PARTIAL, FAIL, or UNKNOWN, rather than hidden in an aggregate score.
Read or install the open Agent Skill. Book a Digital Operations Diagnostic.