Your engineers already use AI individually — you just can't see it across the org, manage it, or defend it. We give you the program to change that: the methodology to read your pipeline, a room of peer directors, three months of coaching with me, and the authored tools that prove it's working — measured, defensible, owned by your team.
30-day money-back guarantee. Buyers-only Discord. 1:1 sessions with me. No SaaS — nothing leaves your machine.
A year from now, the AI-adoption number is on your company OKR sheet. Your CFO stops asking whether the investment is working and starts asking how much more you can absorb. Hiring slows because the leverage doesn't need it. The board calls engineering the moat, not the cost line — and you're the one who systematized it, the name on the talk, the playbook the field starts standardizing on.
Instrument the pipeline, compound on what works, and pull away from teams still shipping the same mess faster. With AI in the mix, the gap between the two goes exponential.
The org-wide playbook isn't written yet — that's the opening. You crack it while the field is still guessing, instead of reacting to the competitor who published first.
A small, selected room of directors on the same dig, a few miles ahead together. We're writing the playbook with you — not selling you a finished one.
Four parts, bundled — the methodology, the room, the coaching, and the authored tools underneath. Each one is what the others can't do alone.
A ~100-minute course: how to find your real bottleneck, separate cause from symptom, and turn it into a sequenced optimization plan you can defend to your CFO.
The Pioneers' Discord plus three monthly group masterminds with other directors rolling out AI on their own teams. The peer group the mandate skipped — it landed on each of you separately.
Three months of buyers-only office hours, plus three 1:1 sessions working on your team's real numbers — your bottlenecks, your fix sequence, your plan.
The local-first tool underneath it all: a dashboard of your pipeline, a Coach that reads it for you, and an editable playbook of ~200 fixes. A closer look just below.
The instrument inside the program. Point it at one GitHub repo and one Jira project; in 30 minutes you have the dashboard — local-first, including the one number no other platform surfaces: how much of your team's work is tagged AI-assisted.
A ~75-second tour of the dashboard — the AI-adoption number, the pipeline, and the Coach's read.
DX, Jellyfish, LinearB and Swarmia hand you a dashboard and a bill, then leave you to figure out what it means and what to do. This bundles the reading, the room, and the coaching that turn a number into a move.
| DX · Jellyfish · LinearB · Swarmia | Cadence | |
|---|---|---|
| Pricing | $20–80k/yr, per-engineer, annual | Included in the $47 bundle |
| Data residency | Vendor cloud (SOC2) | Your laptop, never leaves |
| Time to first dashboard | Weeks (sales → onboarding) | ~30 minutes |
| AI-adoption metric | Survey / roadmap | First-class KPI, day one |
| A metric you don't have | Vendor roadmap request | Edit the code, ship the fork |
| What you do with it | You're on your own | The playbook, peer masterminds, 1:1 coaching |
I run the platform team at First Connect — the unit a director builds when they realize the AI mandate can't be answered from the director's chair alone. The bundle you're looking at is what I'd hand a brand-new platform team in their first week.
Years ago, running engineering at a fintech called Bridge, I migrated us to trunk-based development and delivery got faster. I knew it. I couldn't prove it. Engineering judgment without measurement is suspect even when it's right. When the AI mandate landed at First Connect, the same gap was back — different era, identical problem. So the platform team built the smallest thing that closes it: Cadence. Local-first. The first thing we shipped.
I'm a few miles ahead of you on this road, not at the destination. The playbook isn't finished. We're writing it together.
— Maks, Platform team, First Connect
Cadence is the instrument you read. Blueprint is what you hand your engineers — the cockpit for spec-driven work with Claude Code: a shared backlog that briefs the agents, parallel sessions you can watch and steer, and every change attributed back to the session that made it. Start local with a human over each session; scale up to agents on a remote box and shared sessions. Finish the course and you're in as a founding user, before it opens to anyone else.
A short tour of the cockpit — backlog to briefed agents to attributed diffs, and running it from your phone.
Spec-driven, parallel, supervised — the operating surface for your team's AI-assisted work. Free for this founding cohort only, and only once you finish the course — after this round Blueprint is a paid product. Founding users keep their access, and help shape what ships next, as it grows past the MVP.
The instrument, the methodology, the room, the coaching — plus the founding-user bonus you unlock when you finish — itemized below at what each is worth on its own.
/cadence-setup + the /cadence-analyze Coach + the editable Solutions Playbook (110 process + 88 AI sparks). Source-available; you own your copy.Bundled because each piece only works in the chain. The dashboard without the playbook is theater. The playbook without the dashboard is theory. So it's one bundle, not a menu.
We can't trust AI output without manually reviewing every line.
You don't close that gap by reviewing harder — review capacity is exactly what AI output outruns. Cadence makes the unsafe PRs visible: rounds climbing, size past the attention cliff, review stage ballooning while time-to-first-review still looks fine. The fingerprint of reviewers nodding through, before the post-mortem.
I use Claude Code mostly as fancy autocomplete.
That's what the Solutions Playbook is for. Under every metric sits a menu of concrete moves tied to that bottleneck — 110 process and 88 AI interventions, all editable. Cadence says "review-stage p95 is 60 days"; the playbook lists the skill, rule, hook, or agent that compresses it.
The Coach pre-picks the ones that fit your signal; the full menu is one click below. Not another video — a list you act on Monday.
The first 10 buyers pay $27; after that it's $47. A countable cap, not a clock.
3 hours of 1:1 per buyer over 3 months caps active buyers at ~10 per cohort — the same 10 who get $27.
The 1:1s and masterminds are pulled forward from the future $2,500 cohort, and free Blueprint access is a founding-cohort perk. When this round closes none of it repeats — Blueprint becomes a paid product.
30-day money-back guarantee.
No. Proprietary and source-available — not a free public download. It's the centerpiece of the bundle: you get the source tree when you buy, and you own and can modify your copy.
Local-first. Cadence runs on your machine with your credentials. No data leaves your laptop. No vendor cloud.
No — by design. Cadence aggregates to the team or cohort and never surfaces per-engineer numbers, following the SPACE authors' guidance that individual-level throughput creates the wrong dynamics.
That's exactly who this is for. The bundle is the platform-team-in-a-box — the day-one artifact a director can run themselves.
Those are hosted SaaS measuring throughput, per-engineer-per-month, with weeks of onboarding. Cadence measures AI adoption and the bottlenecks tied to it, runs locally in ~30 minutes, costs nothing to run, and you can edit the code.
$47 — and $27 for the first 10 — is an impulse purchase, far under any approval threshold. Receipt available.