cotera

What is Cotera?

Cotera is the AI platform for agents that do things, not just say things. You describe a job in plain language; Cotera builds an agent that searches, reads, decides, and acts through the tools your business already uses. Then you deploy it to run without you.

Why it matters

Most AI tools are conversational. They answer questions and produce insights, but they can't act on what they find. Your data stays in your systems, the insights stay in a chat window, and wiring the two together means custom engineering most teams never get to.

Cotera closes that gap:

  1. Agents act. They call real tools: search the web, read pages, update the CRM, append to the sheet, post to Slack.
  2. Results are structured. Agents return the exact fields you define, every run, so output feeds spreadsheets, workflows, and other agents instead of piling up as prose.
  3. Work runs at scale, unattended. The same agent that answers one question in chat can run every morning, on every new signup, or across ten thousand rows.

The pieces

Coco is the assistant at the center of Cotera. Ask it questions, hand it tasks, or have it build things for you: agents, documents, and workflows are all created in conversation. See Chatting with Coco.

Agents are the unit of work: a job description a model can execute, made of four things. Coco drafts one from a sentence; you refine it in the editor.

  1. Instructions. What the job is, the rules, and what done looks like.
  2. A model. Every model in the selector is benchmarked on real agent tasks, pass or fail, results public. The recurring lesson: expensive doesn't mean better at agent work, so you pick with data, not vibes. Cheap models handle volume, fast models handle most jobs, deep-thinking models handle judgment.
  3. Tools. What the agent can touch. Tool choice is where an agent becomes useful: a scoped set of the right tools beats a kitchen sink every time, and makes the agent faster, cheaper, and more predictable.
  4. Structured output. The fields it returns, every run.

Tools connect agents to the world: web search, scraping, news, CRMs (HubSpot, Salesforce), spreadsheets, Slack, databases, and a hundred more in the catalog. Built-in tools work instantly with no keys. Tools that touch your systems ask for one sign-in, then the whole org can use them. See How tools work.

Workflows chain agents and tools into multi-step processes with branching and filters, started by triggers: a schedule, a webhook from another system, or a manual run. Every run is recorded node by node.

Datasets are the scale surface, in the Enterprise workspace: connect a warehouse (Snowflake, BigQuery) or upload a CSV, then run agents per row, with results landing in columns next to your data.

Where agents run

Build once, then deploy to the surface you live in:

  1. On a schedule: every morning at 9am.
  2. From a workflow: one step in a bigger process.
  3. From a webhook: the moment something happens in another system.
  4. Over a dataset: one run per row, at scale.
  5. In Slack: where your team already is.
  6. Via the API: from your own code.
  7. From Snowflake: plain SQL, next to your data.

Start here

The Quickstart takes you from a blank chat to a working, deployed agent in about ten minutes.