FIG. 00 — GENERAL ARRANGEMENT SHEET 1 OF 1 · SCALE 1:1 · DO NOT SIMPLIFY

AI, COUPLED TO THE SYSTEMS YOU ALREADY RUN.

Coupling Labs is an AI engineering studio. We bolt modern AI onto real businesses — enterprise job schedulers, spreadsheets, wikis, phone-shaped workflows — and hand you the keys when it runs.

Browse the catalog ↓ Request a fitting

WORKFLOW AUTOMATION● ENTERPRISE INTEGRATION● MODEL ORCHESTRATION● LOCAL-FIRST LLMS● VOICE SYNTHESIS● VIDEO GENERATION● BROWSER AGENTS● SQL FORENSICS● DOC PIPELINES● WORKFLOW AUTOMATION● ENTERPRISE INTEGRATION● MODEL ORCHESTRATION● LOCAL-FIRST LLMS● VOICE SYNTHESIS● VIDEO GENERATION● BROWSER AGENTS● SQL FORENSICS● DOC PIPELINES●

SECTION A — PARTS CATALOG SIX ASSEMBLIES, FIELD-TESTED

WHAT WE BUILD

Every entry below is something we have actually shipped — not a slide. Names withheld; torque figures real.

FIG. 01

WORKFLOW AUTOMATION

Your team's most-hated recurring task, done by software while a human approves the result.

A screenshot of a calendar becomes a fully-entered weekly timesheet — categorized, annotated, submitted.
A raw project-tracker export becomes a formatted executive status report, on schedule, every week.
A scheduler's job definitions write and update their own wiki documentation. Nobody types it again.

INPUT	The mess you already have
OUTPUT	The artifact you owe someone
HUMAN TOUCH	Approval only

FIG. 02

ENTERPRISE COUPLING

Legacy enterprise plumbing, joined to modern AI without breaking production.

Production-readiness audit engines: 16 automated checks swept across thousands of scheduled jobs in enterprise workload schedulers (Tidal, Control-M, AutoSys class).
SQL Server forensics — hierarchy walks, dependency mapping, and incident reports generated straight from the scheduler's own database.
DEV → QA → PROD promotion pipelines with variable mapping, driven by REST APIs instead of humans clicking.

SUBSTRATE	Schedulers · SQL Server · REST · wikis
BLAST RADIUS	Zero. Read-only until proven
DELIVERABLE	Running pipeline + documentation

FIG. 03

MODEL ORCHESTRATION

The right model for each job — frontier when it matters, local when it's private, cheap when it's routine.

Routing layers that send sensitive data to models running on your GPUs (Ollama-class), and only sanitized work to cloud frontiers.
Multi-provider setups (Anthropic, Google, Groq, OpenRouter) with one interface, evaluated head-to-head on your actual tasks.
Honest benchmarking: we've run the experiments on what local models can and cannot do, so you don't buy myths.

SENSITIVE DATA	Never leaves your building
VENDOR LOCK-IN	None. Models are swappable parts
COST CURVE	Routed down, measured monthly

FIG. 04

GENERATIVE MEDIA

Video, voice, and image pipelines that run on hardware you own — no per-second API meter.

Talking-head video presenters generated locally from a single photo and an audio track (Wan-class diffusion models on consumer GPUs).
Voice cloning and narration (F5-TTS class): a consistent branded voice for videos, IVR, and training content.
Character and scene pipelines for content channels — repeatable, versioned, yours.

RUNS ON	Your GPUs, your premises
MARGINAL COST	Electricity
RIGHTS	You own every frame

FIG. 05

AGENTS THAT OPERATE SOFTWARE

Agents that click, type, read, and reconcile — in the same UIs your team uses, with an audit trail.

Browser agents that drive real web apps end-to-end: registrar dashboards, admin panels, lead-triage inboxes.
Community and support bots (Discord-class) that answer from your data and post scheduled content.
Desktop automation that survives flaky UIs — retry logic, element targeting, screenshot verification.

SUPERVISION	Configurable: none → every click
AUDIT TRAIL	Screenshots + logs, always
FAILURE MODE	Stops and asks. Never guesses twice

FIG. 06

BUILDS

Software, shipped fast and owned by you. This site is one: hand-written, no framework, no build step.

Marketing and product sites deployed to global CDNs in an afternoon — including DNS, HTTPS, the works.
Internal GUI tools that wrap gnarly processes (config generators, doc publishers) so anyone on the team can run them.
Dashboards and report generators wired straight to your data.

STACK	As boring as possible, on purpose
PAGE WEIGHT	This page: no JS framework, ~0 deps
HANDOFF	Your repo, your keys

SECTION B — ASSEMBLY PROCEDURE READ BEFORE OPERATING

HOW A COUPLING GETS MADE

01
AUDIT

We find the highest-torque coupling point — the one task where AI hours replace the most human hours. Usually it's not the one you'd guess.
02
PROTOTYPE

A working demonstration on your real data in days, not decks. If it doesn't survive contact with reality, you find out for cheap.
03
COUPLE

Integration with guardrails: read-only first, human approval gates, audit logs. Production earns trust incrementally.
04
HAND OFF

Documentation, training, and the keys. You own the code, the prompts, and the pipeline. We're a call away, not a dependency.

SECTION C — MATERIAL PROPERTIES NON-NEGOTIABLE

PRINCIPLES

LOCAL-FIRST PRIVACY

Sensitive data runs on models you host. We route by sensitivity before we route by anything else.

YOU OWN THE OUTPUT

Code, prompts, pipelines, documentation — deliverables, not subscriptions. No black boxes with our logo on them.

BORING RELIABILITY

The flashiest demo loses to the pipeline that ran every night this quarter. We optimize for the second one.

PROOF OVER PROMISES

Every engagement starts with a working prototype on your data. If we can't show it, we don't sell it.

SECTION D — REQUEST A FITTING RESPONSE WITHIN ONE BUSINESS DAY

GOT A SYSTEM THAT NEEDS
AN AI BOLTED ON?

Tell us what you run and what you're tired of doing by hand. We'll tell you — honestly — whether AI can take it.

inquiries@couplinglabs.ai