For work that lives in documents

Describe your work.
Your AI agents set themselves up.

Ts-Agents reads your description, derives a team of specialised agents from it, and installs that team in your drive — as markdown files you can open, correct and take with you.

  • Your documents stay in your drive
  • Your key, your bill
  • OpenAI, Anthropic, Gemini or Mistral
Ts-Agents — Blueprint for “Cerf-Volant Publishing”
Your work

"We publish novels translated into five languages. I want to review the translations without betraying the original, and keep a consistent tone from one volume to the next."

Proposed organisation · nothing written to your drive yet
3 agents proposed
  • Canon keeper/manuscripts

    Checks that no fact contradicts the established world

  • Translation reviewer/translations

    Compares the target version to the source, deviation by deviation

  • Tone guardian/style

    Enforces the register agreed for the series

Apply to projectEdit

The model is not the problem. Setting it up is.

Models have become very good. What blocks people is elsewhere, and it is always the same thing: between "I know my job" and "AI does it with me", nobody walks you through.

A general assistant does not know your house

It answers beautifully in general, and poorly on your catalogue, your tone guide, the decision you made three months ago. Every conversation starts from nothing, and you re-explain what you had already settled.

Writing agent instructions is a job of its own

You are asked to write a "system prompt" and to cut your work into roles. What you know is your work — not the specification of a piece of software that ought to understand it.

Nobody tells you which files to provide

The agent asks for "the tone notes". They exist nowhere: someone has to write them. It expects "the translations" in a folder nobody created. You are stuck at step zero, with nothing to explain why.

Four steps, then you work

You configure nothing. You explain, you approve, you drop your documents in. Ts-Agents does the rest and shows you every decision before applying it.

  1. You describe your work

    In plain language, the way you would explain it to someone joining you. No structure imposed, no vocabulary to learn.

    "We publish novels translated into five languages. I want to review the translations without betraying the original, and keep a consistent tone from one volume to the next."
  2. The blueprint proposes an organisation

    An orchestrator, specialists, and drop folders named in your own words — /manuscripts if you talk about books, /statements if you talk about accounting, /case-law if you talk about legal work. You review, you correct, you apply.

  3. The workspace is built with you

    Ts-Agents separates what you must upload from what has to be written together. Folders to fill are created; for documents that do not exist yet — a tone guide, a glossary — the assistant asks you questions and writes them under your control.

  4. The workflow takes over

    A procedure is written into workflow.md: the order of the steps, and above all the moments where the AI must stop and ask for your approval. Full autonomy between two checkpoints, never beyond one.

What it looks like

Five screens, in the order you meet them.

The blueprint assistant

You describe, it proposes. The list of agents, their speciality and the folders they will need appear before anything is written — nothing is created in your drive until you approve.

The workspace

What you have to upload and what still has to be written, kept apart. Each line says what the document is for and which agent will read it. An empty folder is impossible to miss.

The conversation, with live steps

You ask a question and watch the organisation work: the file read, the specialist consulted, the document written. You can close the tab and come back — the work carries on.

The project memory

What the project retained from your exchanges, shown in plain text in memory.md. You can correct a wrong line, or erase everything. A memory you cannot contradict is not one.

Consumption

What each exchange cost on your key, per project and per model — input tokens, output tokens, the share served from cache, and an estimate in dollars. Indicative only: your provider sets the price, and only their own count is authoritative.

Faithful reconstructions of the interface, built with the product's real components and colours. These are not screen photographs.

What sets us apart

Seven architectural choices, not sales arguments. Each is verifiable in the product in five minutes.

Everything lives in your drive, as markdown

AGENTS.md, one brief per agent, workflow.md, memory.md. Text files you open, read and correct without us. If you cancel, your organisation stays with you — and stays readable.

Your key, your bill

You plug in your own API key. We do not resell tokens and take no margin on them: your subscription is flat, your consumption is settled between you and your provider.

Four providers, one product

OpenAI, Anthropic, Gemini, Mistral — your choice, and changeable. No major vendor will offer you its competitors; here, sovereignty is an option like any other.

The AI stops to ask you

Checkpoints are written down in workflow.md. Between two of them the AI works alone. At each one, it hands back. You decide where they fall.

A memory you can contradict

The project remembers your decisions from one conversation to the next, and shows you what it retained. A wrong line gets corrected instead of repeated forever.

The vocabulary is yours

Folders carry the words of your trade. Talk about books and it will be /manuscripts. Talk about accounts and it will be /statements. Never /documents.

The cost is visible

Every exchange is counted, per project and per model, with the number of actions that explains why one request cost ten times another.

Where we sit

There are excellent tools next door. They do not solve the same problem.

Where we sit
CritèreTs-AgentsGeneral AI assistantNo-code agent platformDeveloper framework
Starting pointYour trade, described in plain wordsA questionA flow you already knowCode
SetupProposed, then approved by youNoneWire it yourselfWrite it yourself
Where your files liveYour drive, as markdownThe vendor's cloudThe vendor's cloudWherever you want
Model costsYour key, no marginIncluded, opaqueResold creditsYour key
Switching providerOne settingImpossibleSometimesRecode it
CheckpointsWritten in workflow.mdNoTo configureTo implement
Skill requiredYour own tradeNoneTechnicalDeveloper

A comparison of categories, not of named products: their feature sets move too fast for any table to stay accurate for more than a few months.

A subscription per project, not token resale

You pay for the orchestration: the blueprint, the workspace, the workflows, the memory, the consumption tracking. Model calls go through your key and never appear on our invoice.

The plan applies to a project. Open as many as you like, each with its own — a firm can run a free project per client and one Practice project for its document base.

Discover

Enough to judge on the evidence, not a crippled demo.

€0forever

  • 3 agents
  • AI blueprint
  • Guided workspace
  • Workflows and approval checkpoints
  • Correctable project memory
  • OpenAI, Anthropic, Gemini or Mistral, your choice
Start free

Studio

When a project becomes a real workbench.

€29per project per month

  • 12 agents
  • Everything in Discover
  • Email support
Get started

Practice

When several of you work on the same project.

€69per project per month

  • Unlimited agents
  • Up to 10 collaborators invited to the project
  • Everything in Studio
  • Priority support
Get started

Frequently asked questions

The questions people ask us before starting.

What is Ts-Agents?
Ts-Agents is an application that builds a team of specialised AI agents from a plain description of your work, and installs it in your drive as markdown files. An orchestrator agent reads those files, delegates to the specialists and returns an answer grounded in the project documents.
Do I need to know how to code?
No. You describe your work in plain language; Ts-Agents derives the agents, their specialities and the folders they need, then submits every decision to you before applying it. No code and no configuration are required.
Where is my data stored?
In your own drive. Ts-Agents writes AGENTS.md, one brief per agent, workflow.md and memory.md there — readable markdown files you can open, correct and take with you. Our database holds technical indexes only, never the content of your documents or your conversations.
Which models can I use?
OpenAI, Anthropic, Google Gemini and Mistral. You supply your own API key and pick the model; switching provider is done in the project settings, with nothing to rewrite.
How are model costs billed?
Calls go through your key and are billed directly by your provider. Ts-Agents does not resell tokens and takes no margin on them. The subscription covers the orchestration, and a per-project, per-model history shows you exactly what was consumed.
Does the AI act without my approval?
No, once a workflow is in place. The project procedure, written in workflow.md, marks the points where the AI must stop and ask you. Between two checkpoints it works alone; it does not cross them. The conversation agent also has no write tools at all: it reads and delegates, it does not modify your project.
What happens if I cancel?
Your files stay in your drive and stay readable: they are ordinary markdown documents. AGENTS.md follows a convention recognised by many AI tools, so your agent briefs and workflows do not become unreadable the day you leave.
Which trades is it for?
Trades whose work lives in documents: publishing, translation, consultancies, research, agencies, legal and accounting practices. The test is simple — if you can describe your work but not write a system prompt, you are exactly who this is for.

Describe your work. See what we make of it.

The blueprint shows you the proposed organisation before writing anything to your drive. Judge it on the evidence.