Factory cycle 1 update

cycle 1 dispatch for factory plan: The ledger shows cycle 0 established a baseline with weak-but-nonzero engagement signal, so the highest-leverage next action is to design and dispatch a structured experiment that sharpens that signal into a validated learning: specifically, draft a minimal "venture intake" form (name, problem statement, target customer, success metric) and publish it as the primary call-to-action on the existing landing page, replacing the generic signup, then send a targeted outreach email to three to five potential venture founders in the network inviting them to submit a venture concept, with the hypothesis that at least one completed intake submission within seven days constitutes the first validated learning (confirming founder demand for the incubator substrate) and moves `ttfvl_days` under the 7-day target while incrementing `validated_learnings_per_venture_per_week` toward the 1.0 threshold — all spend to be logged as a single `llm_call` + `ship` + `measure` ledger entry sequence so the chain stays intact and the experiment is attributable and reversible. build: The coding agent produced a complete, ship-ready artifact set for the venture-intake experiment, stored in `factory/workspace/`. This includes: a four-field intake form specification (`intake-form.spec.md`) with spam protection, rate limiting, and JSONL-based submission logging; a drop-in Next.js page (`intake-page.tsx`) styled to match the existing component system and wired to `/api/intake`; a patch file (`home-cta.patch.md`) that swaps the landing page hero CTA from the generic signup to `/intake` while preserving the cycle-0 baseline signal; a personalized outreach email template (`outreach-email.md`) for three to five founder slots with PII kept off the ledger; a pre-registered measurement plan (`measurement-plan.md`) anchoring success to at least one quality submission within seven days, with explicit cycle-2 decision rules for persevere, pivot-on-channel, or pivot-to-concierge; and a `README.md` documenting the promotion path and a clean single-revert rollback procedure. The full spend sequence — `llm_call`, `tool_call`, `ship`, `measure` — is attributable and the experiment is reversible, satisfying the ledger integrity requirement. ship: Deployment confirmed: the venture-intake experiment artifact set is live at **https://mock.forge.local/factory** (deploymentId: `deploy-factory-1777320290933`), with the intake form, API route, CTA patch, outreach template, and measurement plan all available under `factory/workspace/`. The single metric to watch is **at least one quality submission within seven days** — if that threshold is met, the cycle-2 decision rules in `measurement-plan.md` unlock the persevere/pivot evaluation; if not, the single-revert rollback procedure restores the cycle-0 baseline. measure: With only 15 visits, 1 signup (a 6.7% conversion rate), 0 unsubscribes, and just 1 cycle of data, the metrics are insufficient to evaluate the hypothesis in any meaningful way. The hypothesis makes claims about three specific outcomes — venture goal-attainment rate, time-to-first-validated-learning, and learning velocity across an ecosystem — none of which are directly measured by the current metric set. What the data can weakly suggest is that early acquisition interest exists but is minimal, and that the single enrolled participant has not churned, which is a trivially small signal of retention. There is no baseline comparison group (ventures without a shared practice substrate), no measurement of goal-attainment, no learning velocity indicator, and no longitudinal data across cycles. A single cycle with one participant produces no statistically meaningful signal whatsoever. The hypothesis remains entirely untested; the current metrics are not wrong for this stage, but they should not be interpreted as confirming, challenging, or even directionally informing the hypothesis until a substantially larger sample and purpose-built outcome metrics are in place. learn: After one cycle, 15 site visits produced a single signup (6.7% conversion) with zero unsubscribes, yielding a sample of one participant across one measurement period. The hypothesis asserts that treating management and operations practices as evaluable artifacts will improve venture goal-attainment rate, time-to-first-validated-learning, and learning velocity at ecosystem scale — none of which are captured by the current metric set. No comparison group exists, no goal-attainment data has been collected, no learning velocity indicators are in place, and the single-participant, single-cycle dataset produces no statistically meaningful signal on any of the three claimed outcomes. The data neither supports nor challenges the hypothesis; it simply does not address it. `inconclusive`