Five businesses run on it, and 12+ products and services have shipped across them. It takes a product, or a whole business, from concept to market in under a day, and its scheduled jobs run overnight and through the day with no human in the loop. Lurch is the custom AI operating system underneath all of it.
You can't buy Lurch, yours would be a different system with different agents and different gates. So the engagement finds out first whether your business can carry one at all, and only then designs it.
These come off a system in production, doing the day-to-day work of real businesses.
Everything above is running right now. I'll show you the live system on the call.
Book a CallLurch isn't one assistant waiting on one prompt, it's a staff. Agents work concurrently, each owning a function with a defined job, and the work lands whether or not I'm at the desk.
A scored prospect database ranks and batches who to contact, so the order of the day comes off evidence and not off whoever looks interesting that morning. LinkedIn and email are both scanned and logged, and anything needing a response becomes a follow-up task on its own.
The morning briefing pulls current news and routes it where it belongs: tasks, positioning, website updates and post topics. It produces 15 curated items, 5 talking points and 4 content ideas before I've opened anything, so the content work starts from material instead of a blank page.
The CRM sits inside the system instead of beside it. Live pipelines get snapshotted every 3 hours, and the follow-ups that fall out of scanned mail arrive already attached to the right record.
12+ products in market is the record, and 6 production websites were built end-to-end with AI-assisted development, plus a feature upgrade on an existing community platform. Every web property sits on an automated deploy pipeline, so a push updates the live site with nobody touching a server.
10+ business tools (CRM, email, cloud storage, hosting, design, tracking) connect into one workspace, so a change made in one place shows up everywhere it matters. One dashboard renders the whole portfolio live and emails itself to me every morning, and edits made on my phone sync back to the desktop automatically.
A watchdog agent finds broken jobs, fixes them, verifies each fix with a re-run, and logs whatever it couldn't repair. The design goal is self-healing: the system detects its own gaps, closes them, and reports in the past tense.
What holds Lurch up is the structure underneath the models, not the models. The rules, the methods and the data live in the layers, never inside a model.
The hard part of a system like this isn't the models, it's the traffic control. Several AI sessions run at the same time, some writing code, some doing business work, and more than 40 scheduled jobs run unattended alongside them. That only holds together if they cannot corrupt each other, so collisions are made impossible rather than made rare.
Every session gets its own workspace. Each one works in an isolated copy of the system, named for the job, the machine and the AI driving it. A guard blocks any session from writing into another session's workspace outright, instead of catching it afterwards.
Shared files have exactly one writer. Anything several sessions need to touch goes through a single locked path. The lock is the only way in, so two writers can never collide.
Work survives the session that produced it. When a session ends it writes a handover brief for whoever picks the work up: what it was doing, what it decided and why, and the single next action. The brief is good for 48 hours, can be claimed exactly once, and can be claimed from either machine.
Nothing is lost when a session fills up. The system measures its own working memory as it goes, warns before a session runs out of working memory, and refuses the first attempt to compress a session until the work has been written to disk. A running session can also send a note into another one, so a finding in one lane reaches the lane that needs it.
Cost is managed per job, not per month. Every task names the cheapest model that can actually do it: the small fast ones for mechanical work, the expensive one only where judgment is genuinely needed. Finished workspaces clean themselves up once their work is committed, pushed and idle for 24 hours, and anything failing those tests is kept rather than deleted.
Fair question, and the answer is in the architecture. A system like this breaks in three places, and Lurch was built against all three.
Nobody notices when a job dies. The watchdog agent finds broken jobs, repairs them, verifies each repair with a re-run, and writes down what it couldn't fix. A broken job shows up as a written record instead of a job that quietly stopped running.
One machine stops and the business stops. Two machines carry the workload with a baton handoff between them, so the automation keeps running when a machine goes down.
The software quietly does something nobody approved. The gates cap the blast radius. Nothing spends money, touches credentials, takes a legal step or publishes copy without me saying yes.
Then there's the question of what actually built it. Lurch is an architecture problem, not a typing problem: the layering, the role definitions, the gates, and the call on what a machine is allowed to do unsupervised. I brought 30+ years of product and technology strategy at Fortune 500 director level to those decisions, and the governance and regulatory compliance work I did in fintech is where that discipline comes from. Those calls are the ones I'd be making on your system too.
That's the whole machine. The call is where we talk about yours.
Book a CallEach line below is a function a growing company needs done. In Lurch each one is an agent with a defined job, all of them working at once instead of waiting their turn. That is coverage of the function, not a replacement for the person: I have not measured any of this against what a hired team would produce, and I am not going to claim I have.
If you counted which of those functions you're short, that's the agenda for the call.
Book a CallFive things this system does not do, so you can rule it out on your own terms rather than mine.
It isn't autonomous, and it shouldn't be. Plenty of it runs unattended, but money, credentials, legal steps and anything an outside audience will read stop and wait for a person. A system that runs your company unsupervised isn't a stronger version of this, it's a liability with better marketing.
It isn't shrink-wrapped software. Lurch was built for one business, mine, and yours would be a different system with different agent roles and different gates. What transfers is the architecture and the method, never the code.
It won't be a 2-day miracle for you. FunParrots.com went from idea to live in 2 days because the operating system already existed underneath it. Your first build is the slow one, which is exactly why the diagnostic and the blueprint come before it.
It doesn't self-heal everywhere. The watchdog writes down what it couldn't repair, which is the half of the job it can't do. Any system claiming it never fails is a system nobody is checking.
It doesn't replace judgment. The models and the agents do the heavy lifting, they don't decide what's worth doing, and that call has stayed with a person through 180+ iterations on purpose.
You don't buy Lurch, you buy the design of yours. I find out first whether your business can carry an operating system at all, and only if the answer is yes do I design one. Most AI engagements skip that question and bill you either way.
Can your business carry an AI operating system, and what would it cost you to run one? I map how work actually moves through your company, where the judgment calls sit, and what your data and your processes can support today. It ends in a straight yes or no, in writing.
Your system on paper: the architecture, the agent roles and what each one owns, the governance model that decides what a machine may do unsupervised, and the build sequence in the order it has to happen. A document your own team, or any builder you choose, can implement.
The blueprint becomes a running system, built in the order it lays out. There is no number here on purpose: the build is priced against the blueprint you have already read, so neither of us prices work sight unseen. Build it with me, hand it to your own team, or take it to any builder you choose.
$5,000 for a straight yes or no on whether your business can carry one. $12,500 for the full design if the answer is yes, and the blueprint runs automatically from there. Building it is a separate quote, written against the plan you have already read.