What Thalatta does

In one line: Thalatta builds AI agents that do a real job, remember what your business knows, and keep earning their keep — built with you, on-site, and tended over time.

Thalatta is a small, senior AI studio based in Cleveland, Ohio — the practice of its founder, Jeff Tirey. It builds AI agents that do real work inside a business — across a team and an entire customer base — with each agent focused on a real job rather than acting as a general-purpose chatbot. It works with small and mid-sized businesses, on-site and contract-first, and stays on to maintain what it builds. The posture throughout: context, not access — appropriate access, not maximum access.

The memory layer

Every agent is backed by a memory layer: the company's own knowledge — its playbook, its customers, its hard-won context — handed to the agent so it's given what it needs instead of going fishing for it.

The vivid version: raw AI is a brilliant new hire who forgets everything overnight; the memory layer is what a good employee keeps. (For the format and method behind it — assembled up front, not retrieved reactively — see the memory layer / OKF.)

The full range — from simple workflow to fully governed system

Thalatta builds across a full range, from the simplest workflow you can watch end to end to a fully governed system — including the glass agent: a "two rooms" design where a trusted broker hands the agent only an approved packet, and the agent holds no keys and no database. The principle is constant at every size: context, not access. (The forms this can take are laid out in the architecture.)

Building is only half of it

Thalatta comes on-site and works alongside your team. It sets measurable targets up front — accuracy, turnaround, cost per run — and then it stays. Agents drift as your business changes and as the models improve, and tokens aren't free, so the work is maintenance, not "launch and walk away." Thalatta tunes the agent and its scaffold over time so it keeps earning its keep.

None of it is fluff: every agent has a cost and a value, and both are kept in plain view.

Proof — agents already shipped

Thalatta has shipped agents that:

• win RFPs,
• answer routine HR questions,
• move knowledge through conferences,
• train sales teams,
• enforce SOPs before work ships, and
• watch brand safety on ad approvals.

And the proof is live: thalatta.ai itself runs on a glass agent you can sign in and talk to.

What a client can hold Thalatta to

• Wins you can see. Every answer ties back to a source — no black box. You can watch this in the glass demo.
• No runaway autonomy. The agent works inside boundaries you set; a person owns the line. (Never "fully autonomous.")
• Targets in plain view. Accuracy, turnaround, and cost per run are set up front and kept visible — every agent's cost and value stay legible.
• Built to be maintained. A system your team can run, watch, and grow — not a demo that rots in a quarter.

The first step is always a 20-minute conversation (see /coffee).