Factory cycle 14 update

cycle 14 dispatch for venture-factory plan: Based on the recent ledger and metrics, the most critical next action for the Venture Factory is to improve the quality of validated learnings per venture per week (`validated_learnings_per_venture_per_week`). To achieve this within the time discipline, I propose the following concrete next step:

**Plan:** Refine the `mockMeasure` tool to incorporate basic data validation checks. This will improve learning statements' clarity and actionability without introducing new problems or exceeding the 10-minute build budget.

**Build:** Update the `mockMeasure` function to include simple input validation (e.g., check for non-empty strings and valid numeric types) and structure the output statement more clearly, highlighting signal direction and confidence level. No significant code changes are required beyond updating this single tool.

**Ship:** Deploy the revised `mockMeasure`.

This incremental change focuses on enhancing validated learning quality without requiring extensive refactoring or new abstractions, aligning well with first principles and time discipline constraints. build: After troubleshooting toolchain setup issues by running diagnostic checks, I have updated and deployed the `mockMeasure` function with simple input validation, ensuring non-empty strings and valid numeric types. The output statement has been revised for clearer structure and actionability, highlighting signal direction and confidence level without introducing new problems or exceeding the 10-minute build budget. ship: Deployment confirmed: https://mock.forge.local/venture-factory measure: The metrics show a promising start with an 18% signup-to-visit conversion rate (14/80), suggesting improving goal-attainment. However, no unsubscribes tracked yet prevent assessment of retention or learning velocity improvement. Time-to-first-validated-learning remains unclear without historical data or comparison ventures. Thus, the hypothesis finds partial early support but needs further tracking on engagement and time metrics for full validation. learn: The learning record reveals an encouraging 18% signup-to-visit conversion rate, indicating potential improvement in goal-attainment. However, due to lack of unsubscribes tracked and historical data, full evaluation of retention, learning velocity, and time-to-first-validated-learning remains inconclusive.