Ventures
Autonomous AI agentsLive

Bestie

Your autonomous agent, on call.

Bestie is an autonomous agent platform. You describe a goal the way you would describe it to a colleague; Bestie turns it into an explicit, ordered plan, works through that plan using a browser, HTTP requests, web search, code execution and — if you connect it — your inbox, then returns a self-contained report of what it did and what it found.

Category

AI agent platform

Stage

Live

Model

Credit-based, team workspaces

Interfaces

Web app, REST API

How it works

You state the goal. No configuration, no graph to wire up, no prompt scaffolding — plain language, and Bestie turns it into a plan you can watch unfold step by step.

It then works on its own. It calls tools, reads what comes back, and adapts: a page that does not contain the answer sends it somewhere else rather than ending the run. You do not have to approve each step to keep it moving.

Every run ends in a report. Not a transcript — a written account of what was attempted, what was found, and every destination that was touched, which is what makes a long autonomous run worth reading afterwards.

What it is used for

Reverse-engineering an interface: log in through a headless browser, watch the traffic the page makes, and come back with the endpoints behind it.

Research that has to be defensible: search, read, cross-reference and return a sourced answer rather than a list of links.

Standing watch: check a page on its own schedule and say something the moment it changes, which is the point at which agents stop being a demo and start being infrastructure.

Keeping an autonomous agent safe

An agent that acts on its own needs limits it cannot negotiate with, and that is most of the engineering. Every run executes in its own hardened, ephemeral container, discarded when the run ends.

Ceilings on iterations, wall-clock time and spend are enforced outside the model, so no amount of clever reasoning inside the run can raise them. You decide what a run may reach, down to the individual domain.

And every run leaves a complete, inspectable audit trail. When an agent works unattended, being able to reconstruct exactly what it did is not a compliance checkbox — it is the only way to trust it with the next task.

Capabilities

What it does

Runs and reports

Live, streamed progress while a run works, and a self-contained written report when it finishes.

Macros

Turn a run that worked into a reusable one, so a good result becomes a repeatable procedure instead of a lucky prompt.

Scheduled runs

Give a task a schedule and it reports back on its own, without anyone remembering to start it.

Triggers

Start a run from an external event rather than a person, so agents can sit inside an existing workflow.

Connectors

Optionally connect Google so an agent can work in your inbox — only during runs you start, and only with the access you approve.

Workspaces and API keys

Multi-tenant workspaces with roles, invitations and per-workspace credits, plus keys for driving runs from your own systems.

Built with

  • FastAPI
  • PostgreSQL
  • React
  • Containerised tool sandbox
  • Streamed run logs

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