Autonomous agents

An AI Agent for Work That Is More Than One Question

Some jobs are thirty prompts. Delegate the whole thing.

Chat is a poor fit for work with steps. You end up manually driving a sequence — search, read, extract, compare, summarise — one message at a time. Clade's agent takes the goal instead of the step: it plans the work, executes each part using search, code execution and your uploaded files, and comes back with a finished result you can inspect.

How the agent actually works

You state a goal and the shape of the output you want.
It produces a plan — the steps it intends to run, visible before and during execution.
It executes each step with the tools available: web search, code interpreter, file analysis, image generation.
It adapts when a step fails or returns something unexpected, rather than stopping.
It returns a structured result, with the working visible so you can check how it got there.

Tasks where delegation pays off

Competitive research — scan a set of companies against consistent criteria and return a comparison table.
Literature and market scans that need dozens of queries before anything useful emerges.
Data analysis end to end — load the file, clean it, run the statistics, produce the chart, write the summary.
Long document processing: read a 200-page report and extract every commitment with a date attached.
Content pipelines — research a topic, outline it, draft it and generate the accompanying image.
Code audits — walk a module and report unhandled error paths or missing tests.

Writing a brief the agent can execute

Define done. "A table with these five columns" beats "look into it".
Give the constraints up front: sources to prefer, timeframe, length, format.
Say what to do on ambiguity — ask you, or make a stated assumption and flag it.
Provide the input files at the start rather than mid-run.
Start with a smaller version of the task to see how it interprets you, then scale up.

Where agents still disappoint

They are slower than chat. Delegation makes sense for work worth waiting for.
Long chains compound errors — a wrong step three becomes a wrong conclusion at step nine, which is why the plan is visible.
They cannot log into your systems or act on your behalf outside the tools provided.
Genuinely ambiguous goals produce confidently wrong output. Vagueness in, confidence out.
Everything still needs a human review before it counts as finished.

Models you can use for this

MiMo-V2-Flash256K

DeepSeek-V3.2 (Reasoning)128K

DeepSeek-V3.2128K

Qwen3-Max256K

Qwen3.5-Plus1M

Command A Reasoning256K

Command A256K

MiniMax M2197K

See all 8+ models and specs

Frequently asked questions

What is an AI agent?

An AI that takes a goal rather than a single question, plans the steps needed to reach it, executes them using tools like web search and code execution, and returns a completed result — instead of answering one prompt at a time.

Is the agent included in the subscription?

Yes. Agent runs draw from the same monthly credit allowance as chat, with no separate fee. Multi-step tasks use more credits than a single message because they do more work.

Can I see what the agent is doing?

Yes — the plan and each step are visible as it works, so you can follow the reasoning and catch a wrong turn rather than receiving an unexplained answer.

Can it access my email, calendar or internal systems?

No. The agent works with the tools inside Clade — web search, code execution, file analysis, image generation — and with files you upload. It does not connect to external accounts.

How is this different from just chatting?

Chat is one question, one answer, and you drive the sequence. The agent takes the whole sequence. For single questions chat is faster; for work with many steps the agent is the difference between ten minutes and an afternoon.

Keep reading

Hand over the whole task

Plan, execute, report — with the working shown. Included from $9.99/month.