Agentic workflows that own the work end-to-end — in production, not in a slide deck.
Everything below runs on the same engine — our Agentic Development Workflow. You can buy the service to build your own, or the oiled engine to build your way.
Pick one — we'll reveal that path below ↓
Custom software, built the agentic way — we design the processing itself: autonomous agents inside your product and operations, shipped to production and operated on your stack.
The same workflow, operated as a service in your accounts — you rent the car, bring your own AI fuel, and drive. Reviewed pull requests out, a named engineer accountable for every merge.
rent → drive → ship
Custom software development, made agentic: our engineering teams — powered by the same agentic workflow behind Managed Agentic Delivery — build agentic systems for you, from a copilot to a system that runs the whole job.
“Agentic” isn't one thing. It's a range — how much of the work you hand over is your call. We build all of it, and you can start anywhere.
A conversational assistant inside your product or your tools — answering from your data, drafting, suggesting the next step. The person stays in control; the copilot just makes them faster.
e.g. a support copilot that drafts replies from your docs and past tickets.
An agent that takes a whole job off your plate — it classifies, decides and executes, retries when something fails, and escalates only the exceptions worth your attention.
e.g. Delos — 60 hours of manual research collapsed to 4 minutes.
Automations, skills and agents orchestrated into a system that runs an entire operation end-to-end — your team supervising and handling the edge cases, everything else just getting done.
e.g. intake, decisioning and execution running autonomously, humans on the exceptions.
Start anywhere on the range — a copilot today, a full system as your ambition grows. We build all three.
This is our Applied AI & Agentic Systems service — see the deep diveWhat you're actually buying is a dedicated senior engineering team — one that runs on the same agentic workflow we operate as a product next door. It's custom software development you already understand, minus the year you'd otherwise spend adopting AI on your own. Your system gets built faster because the team was already fast.
100% dedicated, native-English engineers who use these tools daily — not occasionally.
Senior judgment on every project — so the speed never costs you quality.
You don't adopt AI alone — you plug into a team already running on it.
First paying enterprise customers in sixteen weeks
From single-file POC to multi-tenant AI platform shipping live carrier data
Three AI agents went dark. We brought them back in three months.
Our method, in three phases — repeatable, refined across 30+ deployments. Here's what actually happens in each.
We map your real workflows, score each by ROI vs. feasibility, and define exactly where an agent takes over and where a human stays in the loop. You leave with a ranked plan — not a vague promise.
Production agents built on the models you already pay for and the tools your team already uses — model-agnostic, with custom harnesses and evals so quality holds as models change. Runs in your cloud, your repos, your keys.
Agents drift, so we don't ship and disappear. We monitor, evaluate against real cases, and iterate week over week — adding new workflows as you grow. The engine under your workflow only gets faster over time.
Three phases, in order — start small, prove it in production, then scale only what works.
Map workflows, score by ROI, pick the one to ship first.
Ship one agentic workflow to production. Measured ROI, real users.
We monitor, evaluate and improve. New workflows as you grow.
You've reached the end — curious about the other path? ↓
Product 02 · Managed Agentic DeliveryRent our workflow and ship your backlog.Flip to Managed DeliveryThe same agentic pipeline we build with, run for you as a managed service on your codebase — tuned continuously and upgraded as we improve it.
We put an agentic delivery workflow on your codebase and keep it tuned. You point it at what you want built; it ships to your repo, in your accounts, with a senior engineer accountable for every merge. You pay for the car — not the hours.
Every agency prices this differently and most of them won't tell you how. Here's ours, in the only metaphor you'll need.
we own & maintain
The operated agentic pipeline running on your project — plus every upgrade we ship to it. A flat monthly fee. The car you get in week one is the slowest it will ever be.
your tank, your account
Tokens are fuel — a commodity. You buy your own, in your own accounts, at provider list price. We never resell it or mark it up. Our job is to make the car efficient, not thirsty.
how far you go is up to you
You decide what gets built and approve each plan. How much ground you cover depends on how you drive — which is exactly why we don't bill you by the hour for it.
guaranteed in the garage
Up to 2 hours a day of senior engineering time, guaranteed available whenever you pull in. You're billed only for the time you actually use.
You don't rent a car by the mile. You rent the car, bring the fuel, and drive.
Everyone in this market is selling autonomous magic. We're not. An agentic workflow makes a good driver dramatically faster — but it's still a car, not a chauffeur. So before you commit a cent to the monthly plan, we spend two weeks finding out together whether it's a fit. Sometimes the honest answer is not yet, or not you— and we'll say so. That candor is the product. And it isn't theory: the same agentic workflow builds our own products and our clients', every day, in production.
The car doesn't ask for your résumé. It asks where you want to go and whether you'll learn to drive. Too technical isn't required; too non-technical isn't a dealbreaker. The people who get the most out of it tend to look like one of these.
You know exactly what the product needs next. You've spent months translating that into a dev backlog and waiting your turn. You'd rather point and steer than file a ticket and hope.
You can describe a feature clearly, read a plan, and tell good from good-enough. You don't write the code — you decide what gets built, and you want that decision to actually turn into shipped work.
Maybe you code, maybe you dabbled once. Either way you'd rather hand off the repetitive build-out and keep the judgment calls — reviewing the plan, not typing every line.
What every driver shares
Curiosity, and the willingness to learn the wheel in the first few weeks. That part we coach — good drivers aren't born, they're trained. The rest, knowing what you want built and having the will to see it through, you already have.
See if you're ready to driveNot for you if…
…you want to hand over a vague wish and never look at it again. That's a chauffeur — and we already told you we don't sell those. Driving takes a few minutes of your attention per change. In return, you're never waiting in a queue again.
You keep a prioritized list of what you want built. The workflow pulls from the top and turns each item into a plan you can read — scope, what it'll touch, what it won't — usually within hours. You approve it in one click. No estimation meetings, no “it depends,” no surprises after the invoice.
Technical or not, you'll understand every plan before you approve it. That approval is the whole interface.
Your backlog · prioritized
LIN-471 · top of your Linear backlog
Add an “Invite teammate” button that emails a join link. New members land in the “member” role. Adds one table for pending invites — nothing touches billing or existing accounts.
The click that replaces the estimation meeting.
No metaphors this time. Here's exactly what happens to that top item — the invite-teammates plan you just approved — from one click to live in production.
The workflow takes the top item — “Let users invite teammates” — and writes a plan you can read: what it adds (an invite button, an email, a pending-invites table), what it won't touch (billing, existing accounts). You approve in one click.
A private environment is created just for this one change — with its own fresh database, seeded to look like real data. Nothing here can reach your live system, and not a single real customer is touched.
The invite button, the email, the join flow — written and wired together in the isolated copy, exercised against that throwaway database, never against production.
An automated QA gauntlet runs: does the invite send, does the new member land in the right role, did anything else break? Security and secret scans run too — all before a human spends a minute.
Click through the actual working feature in its private environment before a single line reaches production. A senior engineer reviews the load-bearing decisions — architecture and judgment, not the typos the machines already caught.
Merged to production in one measured step you can roll back. The idea you typed at the top of your list is now live — and it'll show up on next month's statement, right where you'd expect it.
Every item on your list travels this exact path — one at a time, or many in parallel. Want the machinery behind it, stage by stage? The full run is further down.
Autonomous work needs a few things in place to be safe and fast. Tick what you've got — this is a mirror, not a gate. We'll help you close the gaps during setup.
Your score updates as you go. Nothing here is a wall — it's what we'll walk through together in the first two weeks.
Missing a few? That's normal — closing these gaps is exactly what onboarding is for.
No “sign here and we'll figure it out.” You know exactly what each step is, what it costs, and where you can walk away.
A short, paid engagement where we drive alongside you on one real goal in your codebase — and find out together whether this is a fit.
Fixed fee · partly credited toward what comes next if you continue
We stand up the safety instruments and tune the workflow to your stack — the work that makes autonomous delivery safe rather than reckless.
A named onboarding fee — waived if you commit to 6 months
Coaching, not a tool dump. Heavier working sessions in week one, tapering as you find your rhythm. You build a capability, with someone beside you.
Runs on the 2 hrs/day capacity your plan guarantees
One plan. The whole car included:
Your fuel stays yours — AI licenses and API keys live in your accounts, at provider list price.
MAD is one offer, not a menu of plans. We're calibrating the price against real delivery data before we print it — and a handful of design-partner seats get the car first, on founder terms.
Ask about a design-partner seatGenerated from yourtracker, not our dashboard. Every row links to the plan you approved and the pull request that closed it — the answer to “what did we get this month?” written before you have to ask.
STREAVER — DELIVERY STATEMENT
Sample client · Illustrative month
Period: Mar 1 – Mar 31
Statement № 2026-03
| Ref | What shipped | Approved | Delivered | Status |
|---|---|---|---|---|
| LIN-471 | Let users invite teammates | Mar 2 | Mar 3 | Accepted |
| LIN-476 | CSV export on the reports page | Mar 3 | Mar 4 | Accepted |
| LIN-482 | Weekly activity email digest | Mar 4 | Mar 6 | Accepted |
| LIN-488 | Bulk-archive old projects | Mar 6 | Mar 9 | Accepted |
| LIN-490 | Dashboard search & filters | Mar 9 | Mar 11 | Accepted |
| LIN-495 | "Remember me" on login | Mar 10 | Mar 12 | Accepted |
| LIN-497 | Team roles & permissions | Mar 11 | Mar 13 | In review · auto-accepts Mar 20 |
| + 9 more this month · every row links to its plan and its PR | ||||
16
Changes shipped
15 / 16
Accepted · 1 in review
9.5 hrs
Mechanic time used
3
Workflow upgrades shipped
Workflow upgrades shipped this month (3): plan turnaround −38% · flaky-test quarantine · dependency-age gate in CI
Generated by the workflow from the client's own tracker. Illustrative data.
Why an odometer, not a price list: you're not buying changes by the piece — you're renting a pace. The count proves how far you drove. And as the car gets faster, you cover more ground for the same plan. The improvement is yours to enjoy, not ours to bill back.
Building a $1M product for $125K with a non-technical CEO at the keyboard
Five years after pausing the partnership, Supreme Golf came back. We rebuilt the way they build software — vibe coding with guardrails, AI-augmented stack, daily production deploys.
Scroll to follow the run ↓
It hears the problem before it acts.
Krisp · Linear · MCP
Plus a library of reusable skills, harnesses and evals — every new workflow starts from accelerators, not from scratch.
the AI-Native Toolkit
Coming soon
You've reached the end — curious about the other path? ↓
Product 01 · Agentic SolutionsWe build agentic solutions for your business.Flip to Agentic SolutionsYour code, your cloud, your keys. Agents run inside your infrastructure — we never hold your data or your IP. Enterprise-grade guardrails, from day one.
Your cloud, your repos, your keys. Your data never touches ours.
Secret scanning, Snyk + Socket on every dependency, and a 7-day package-age gate in CI.
Every agent action is logged; a human holds the controls on anything irreversible.
OWASP guidance for LLM apps, with secure-SDLC baked into the workflow.
This is how much human work a model finishes on its own, in one unsupervised pass. It isn’t linear — it’s a doubling curve, and it just went vertical.
Each point is an AI model — hover for what changed. Every few months the work it finishes on its own roughly doubles; the dashed line is where it’s heading next.
real coding problems an AI can solve (’23 → now). A strong human engineer: ~86%.
cheaper per task, 2024 → 2025.
before the advantage levels out. That window is the opportunity.
30 minutes with our Founding Team. No pitch. Larry’ll tell you honestly whether AI is the right move for your business right now, what to build first, and what to wait on.
Part of our Applied AI & Agentic Systems service.