COG-AI · AI development services
Autonomous AI, delivered like infrastructure: a written spec, deterministic checks, contained failure modes — and an engineer's name at the bottom of the sheet.
Taking one engagement · Q_ 20__
Around-the-clock agents on dedicated substrate — scoped, built, and monitored like plant equipment. Single-task workers to coordinated fleets, with blast-radius containment, termination criteria, and audit trails designed in, not bolted on.
Custom Model Context Protocol servers that put frontier models inside the software you already run — including desktop CAD, where we've wired AI directly into AutoCAD and Civil 3D. If it has an API, a command line, or a keyboard, an agent can drive it.
Pipelines that read real-world paperwork — plan sets, submittals, applications — and run every sheet against a deterministic check library, with AI-drafted, reviewer-ready comments. Built for municipal plan review as ARKI-AI; the same architecture fits any document-heavy workflow.
On-premise and hybrid deployments for work that can't leave the building: local models where privacy governs, frontier models where reasoning demands, and an evaluation harness that proves — with numbers — which is which.
Arki-AI Machine-speed plan review.
Municipal permit automation
under the COG-AI umbrella
Permit review spends weeks of a licensed professional's attention on questions a machine can answer: is the sheet there, is the number right, does the detail match the code table. ARKI-AI reads the full submission set, runs it against a deterministic check library — dozens of codified checks with pass / fail / needs-human verdicts — and drafts examiner-ready comments.
Reviewers keep the judgment calls. The checklist work moves at machine speed, every finding traces to a specific check against a specific sheet, and nothing ships as a black box. Built by the same engineer who signs plan sets for a living — which is exactly why it's structured this way.
Full submission sets read, run against a codified check library, and returned as examiner-ready comments with every finding traced to a sheet and a code reference.
Proposals, cost estimates, and engagement letters generated from structured project data rather than copied templates — the data is the source of truth, the document is a rendering of it.
Model Context Protocol servers exposing internal systems to agents under explicit, typed contracts — with the destructive operations gated behind confirmation rather than trusted to a model's judgment.
Hybrid stacks that keep regulated or client-confidential material on hardware you control, escalating to frontier models only for work that has been de-identified first.
A site walk through your workflows. We map where the hours actually go, what data already exists, and which decisions are rules versus judgment — because only one of those should be automated.
A written engagement spec before anything is built: scope, data schemas, tolerances, and the evaluation criteria the finished system must pass. Fixed, priced, and signed — by both of us.
Short iterations with working software at every pass. Structured data is the source of truth throughout — documents become renderings of the data, not the other way around.
Load-test against the spec's evals, document the system, then run it for you or hand it over clean. Commissioned and signed off — not demoed and walked away from.
C-501.1 — Start here
$——,———
Fixed fee · 2–3 weeks
A paid discovery that ends in a document, not a pitch. If the spec says the work shouldn't be automated, that's a finding you paid for and one you'd rather have than a build.
C-501.2
$——k – $——k
Fixed price from the spec
One agent system, integration, or automated pipeline taken from spec to commissioned and running in your environment.
C-501.3
$——k+
Phased · retainer available
Several systems across a practice or department, sequenced so each one earns its keep before the next is started.
Fees are fixed at spec, not billed hourly — the estimating risk is ours, which is the only arrangement that makes a written scope mean anything. Survey & spec credits against the build if you proceed within 90 days. Travel and third-party model or hosting costs are passed through at cost.
Client material is processed for your project only — never used to train a model, never pooled across clients, never sold. Which third-party services touch which data is written into the spec before the build starts, so you approve the data path rather than discover it.
Regulated, privileged, or otherwise sensitive material can run against local models on hardware you control, with nothing leaving your network. Hybrid designs escalate to frontier models only for de-identified work. Expect a capability trade against the largest hosted models — the spec states which tasks pay that price and which don't.
You do. Source, prompts, schemas, evaluation suites, and documentation transfer to you on final payment. No runtime license, no seat fees, no dependency on this office to keep the system running. Pre-existing internal libraries come with a perpetual, irrevocable license to use and modify.
Your NDA, signed before the first call if that's what your procurement requires. Municipal and institutional clients get a standard mutual agreement on request. Nothing is published as a case study — named or anonymized — without written permission.
Carried through the principal's engineering practice: professional liability, general liability, and workers' compensation. Certificates of insurance issued to your entity on request, with additional-insured endorsement where a contract calls for it.
The engineering discipline behind these systems is a licensed one; the software deliverable itself is not a stamped engineering document. Where a project needs sealed drawings or a professional certification, that work is performed and stamped separately under the engineering practice.
Every system ships with its failure modes written down and contained: what it declines to answer, what it escalates to a human, and what it flags as low-confidence. Deterministic checks run before model judgment so the class of error that can be caught arithmetically is caught arithmetically. Systems that cannot fail safely do not get built.
A vendor demos. An engineer signs.
COG-AI is run by Dan Barron, a New York State–licensed Professional Engineer who stamps civil and structural work under his own name. That habit — the signature that makes you check everything twice — is the operating system here.
AI is driving the cost of production toward zero. What it can't produce is accountability: explicit assumptions, stated failure modes, deliverables you can inspect, and a professional standing behind the result. That's the part we bring to every system we ship.
Fill the block below and you'll get an RFI number back on the spot.
Prefer email? arki@cogai.world