Delegation ready, before autonomy ships.
This clickable demo turns the transcript’s core insight into a working product view: a readiness manager that scores when work is safe to hand to autonomous agents and learns from every outcome.
Readiness Lifecycle
Each unit of work moves through a clear loop, from exploration to learning. Click any stage to see how it de-risks autonomy.
1. Exploration
Intent is fuzzy. Human + AI collaborate. Questions are expected.
- Capture the core intent in plain language.
- Surface early assumptions and open questions.
- Identify what must be clarified before shipping autonomy.
Startup Blueprint
Click through the full investor-grade framing: problem, user, product, metrics, and the “why now.”
The Core Problem
Why teams fail with autonomy even when the AI is capable
- People overestimate how clear their intent is.
- Work is delegated too early, then errors compound.
- Trust in AI erodes because handoffs are premature.
What We Build Next
The v1 plan turns this readiness loop into a buildable product surface for founders and teams.
Define the data model
Specs, assumptions, readiness scores, execution outcomes, and learning signals.
Write the v1 PRD
Explicit scope, must-have flows, and “not now” decisions.
Break into Ralphy tasks
Autonomy-ready tickets with acceptance criteria and execution guardrails.
Measure readiness lift
Track the north star metric and spotlight repeated failure modes.