One shop. Many lanes. Same discipline.
ASV Labs is the operating system behind everything on this site: a governed pipeline that takes ideas from experiment to private alpha to live product — and is honest about which stage each thing is in. This page shows the system, the flagship build inside it, and the queue.
How work graduates.
Experiment
Enters the register with a status and a next check. Evidence decides whether it advances, pauses, or gets archived. Nothing drifts.
Private alpha
Real builds, sprint-gated, behind access controls. Instrumented before they're marketed — never the other way around.
Live product
Public trust surfaces required at the door: docs, status, security posture, and counts that stay synced or come down.
Revenue proof
The final gate is provable dollars, not vibes. Frozen future bets stay frozen until a lane earns them.
Agent workforce
Nine role-scoped agents with their own memory repos — research, operations, content, design, training, executive. An agent replaces real manual labor or it doesn't get built.
Weekly operator brief
Wins, losses, risks, decision requests. The loop that decides what gets funded with time. Documented publicly on Quantum.
Register discipline
Every project-shaped thing is censused and classified — active, paused, preserved, frozen. Even the favorites. Especially the favorites.
Kinetik: release risk, scored — not felt.
- What it is
- Release-risk intelligence for software teams.
- Stack shape
- Web + worker monorepo with authenticated, row-level-secured data.
- Stage
- Sprint-gated engineering; production-exit work under census review.
- Why it matters
- Front-runner in the workflow lane and the leading candidate for first product revenue.
The problem: most teams ship on gut feel. The evidence of what changed — commits, pull requests, review history — already exists in the repository; almost nobody turns it into a risk read a human can act on before release.
What Kinetik does: ingests GitHub evidence, reasons over the change surface, scores release risk, and produces changelog and release-risk intelligence a team can actually use at the decision point.
Where it stands: working system in private alpha — auth and row-level security in place, evidence ingestion live, risk scoring and changelog machinery operating, six sprints deep. Per Labs discipline it's being censused and classified before its production exit. No launch claims until then; that's the whole point of the system it lives in.
Experiments with receipts attached.
Everything below is unfinished on purpose and labeled accordingly. Each item answers three questions: what's being tested, what evidence exists, and what the next check is.
Foundry instrumentation push
Testing: whether Foundry can sell. Evidence so far: live product, published trust surfaces, zero instrumented funnel.
Next check Payments wired, web analytics live, one narrow paid-offer path shipped — then the data answers, not the optimism.
FBD first-dollar measurement
Testing: whether a live content platform produces provable revenue. Evidence so far: 8,700+ curated recipes serving traffic; production explicitly untouched.
Next check Read-only affiliate click and conversion measurement — first-dollar proof or an honest "not yet."
TechNodeX retention proof
Testing: whether learners come back — deploy and retention proof isn't settled. Evidence so far: 13 paths, 114 lessons, 250 review and practice checks live.
Next check Live-state verification, in-browser coding, Python Zero completion proof, and retention signals.
Kinetik census + production exit
Testing: whether the shop's hottest build follows the same rules as everything else. Evidence so far: six sprints of working software in private alpha.
Next check Censused into the register, classified, then cleared for production-exit work. Favorites don't skip the line.
My Family Story keepsake app
Testing: story-capture for preserving family history — prompts, voice, photos, keepsake outputs. Evidence so far: working prototype concept, deliberately paused this cycle.
Next check Stays preserved until an active lane earns out. Privacy, trust, and family permissions lead any restart.
Project Titan media player
Testing: an owned media experience without commercial bloat — free core, paid add-ons. Evidence so far: research and feature validation, deliberately paused this cycle.
Next check Feature set, legal boundaries, and app-store path validated before any public launch claim.
4 lanes
Foundry instrumentation, FBD measurement, TechNodeX retention, Kinetik census. Each carries a next check dated inside 90 days.
9 builds
Money Coach, Kitchen Planner, Creator Studio, LaunchKit, Skill Lab, Family Story, Titan, Training Steward, mission-control-remote — parked, not abandoned.
4 future bets
QuantumFlow SaaS, agent marketplace, enterprise operator intelligence, platform APIs. Not dead — not yet earned.
What worked: shipping trust surfaces before marketing; the weekly brief cadence catching drift early; killing the "one more agent repo" reflex with the manual-labor rule.
What didn't: letting public counts drift from product surfaces (now failed by the build itself); building ahead of the register — Kinetik proved the discipline by breaking it, and now it goes through census like everything else.
Standing lesson: the system only means something when it constrains the work you're most excited about.