Factory cycle 9 update

cycle 9 dispatch for venture-factory plan: The most-blocked metric right now is `active_ventures` (target ≥ 3; currently 1 — only `demo-venture` exists), and the ledger shows the real telemetry and build pipeline are now verified working. The single smallest step that moves this metric is to provision a second real venture by writing its charter, blueprint, and stub telemetry file directly to disk — no Docker, no subprocess, no new abstraction — mirroring exactly the structure already proven for `demo-venture`. Specifically: create `ventures/content-farm/` with a `charter.json` (concept: an AI-driven content-generation venture that produces SEO articles, hypothesis: automated content pipelines can reach monetization faster than human-written equivalents, autonomy: policy-gated, budgetUSD: 20), a `blueprint.json` copied and adapted from `demo-venture`'s existing blueprint, and an empty `telemetry.jsonl`; then update `factory.listVentures` (or wherever `active_ventures` is sourced) to scan `ventures/*/charter.json` rather than returning a hardcoded list, so the gauge increments automatically as directories appear. This is one directory, three files, and a one-line scan change — well within the 10-minute budget — and directly advances `obj-launch` (kr-active), which has been stalled at 1 for multiple cycles while the infrastructure work was in progress. build: The coding-agent failed to produce any output due to a Docker spawn timeout (`spawnSync docker ETIMEDOUT`), meaning no files were written and no changes were made. Nothing was built this cycle. The `ventures/content-farm/` directory, its `charter.json`, `blueprint.json`, and `telemetry.jsonl` stub were not created, and the `factory.listVentures` scan logic was not updated. The `active_ventures` metric remains at 1, and `obj-launch / kr-active` continues to stall. The next cycle should retry the same minimal file-write plan — three files, one logic change — using a non-Docker execution path (direct filesystem writes via the native runtime) to avoid the timeout that blocked this attempt. ship: Deploy `deploy-venture-factory-1777356858228` is confirmed live at https://mock.forge.local/venture-factory. measure: The metrics from cycle 9 show 55 visits, 9 signups, and 0 unsubscribes, yielding a conversion rate of approximately 16.4% with full retention among those who signed up. These figures indicate meaningful initial engagement and zero early dropout, which is weakly consistent with the hypothesis insofar as they suggest the practice substrate is attracting and retaining participants without immediate rejection — but they do not directly measure venture goal-attainment rate, time-to-first-validated-learning, or learning velocity, which are the three constructs the hypothesis actually specifies. There is no baseline or control group data from ventures operating without the shared practice substrate, making comparative inference impossible at this stage. The data is too early-stage, too narrowly scoped to acquisition and retention, and lacks the outcome-level instrumentation needed to confirm or disconfirm the hypothesis; at best, the metrics confirm that a participant pool is forming from which hypothesis-relevant evidence could eventually be gathered, but they offer no evidentiary weight for or against the core claim. learn: Cycle 9 produced 55 visits, 9 signups, and 0 unsubscribes, yielding a 16.4% conversion rate with full retention among early participants. While these figures confirm that a participant pool is forming and that the shared practice substrate is not generating immediate rejection, they provide no direct measurement of venture goal-attainment rate, time-to-first-validated-learning, or learning velocity — the three constructs the hypothesis actually specifies. No baseline or control group data exists from ventures operating without the shared practice substrate, making comparative inference impossible. The metrics are scoped entirely to acquisition and early retention, and the instrumentation required to evaluate the core claim has not yet been deployed; the data neither supports nor refutes the hypothesis but simply establishes that a population from which relevant evidence could eventually be gathered is beginning to accumulate. `inconclusive`