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Agent context

Give your agents the same project context your team uses.

Unolia gives AI agents structured infrastructure context through governed project data instead of raw provider credentials. The answers come from your projects, not from guesses.

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The real problem

AI is only as good as what it can see.

Assistants do not lack intelligence. They lack your context. These are the conversations that changed once the agent could read the projects.

The agent that never got the passwords.

The old way to make an AI useful was pasting credentials into a prompt and hoping. Here the agent connects to Unolia, not to your registrars and hosts. It sees the organized project view your team maintains, scoped by the permissions you choose, while the credentials stay where they belong.

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The answer that stopped being generic.

Ask a bare model why a client site is slow and you get a checklist from the internet. Ask an agent with Unolia behind it and the answer cites the 18:04 deploy, the provider status and the open issue, because it reads the same workspace your team uses. Specific beats plausible.

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The fix that waited for a yes.

An agent found the duplicate SPF record that was killing deliverability, prepared the merge and showed the exact records it would keep and delete. Nothing moved until a human said yes. The fix took one conversation, and the activity log kept the receipt.

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The value

Your team gets the dashboard. Your agents get the context.

It answers the questions your day is made of.

Not just incidents. Which client costs the most. What expires this month. Why a site slowed down after Friday’s deploy. If the answer lives in your projects, your assistant already has it.

You stay the one who decides.

Reading is the default. Actions like fixing a record or triggering a deployment sit behind separate permissions, and each one previews what it would do before anything runs. What the agent does lands in the activity log next to everything else. You stay in control.

Costs

The money questions, answered from the books.

Which client costs the most. What expires this month. What is still billing for nothing. The agent reads the same cost data as the dashboard: provider bills, licenses, renewals and the waste report, allocated per client project. The answer comes with amounts, not ballparks.

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Incidents

Incident reports, written while they happen.

When a monitor goes red, the agent reads what the on-call reads: the last deploys, provider health, DNS changes, open issues. It lines up the likely cause for human review, and after the fix, the summary comes from the trail instead of from memory.

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The workflow

From question to fix, in one conversation.

This is the workflow. The assistant reads the project, explains the cause, prepares the fix and shows it to you first. Nothing changes until someone says go. Here is the whole session: a client domain whose email was landing in spam, diagnosed and fixed from the terminal.

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Proof

Named tools, not vague magic.

Every answer on this page maps to a real tool the agent calls. Context is a product surface, not a promise.

Project briefs
Agents retrieve structured project details, resources, monitors, repositories, deployments and open issues.
Environment maps
The graph of domains, websites, servers and repositories becomes context an agent can reason about.
Cost and waste reports
Agents surface project costs, unallocated spend, paused providers still billing and upcoming renewals.
Incident explanation
Agents correlate failing monitors, recent deployments, provider health and open issues, for human review.
Previewed actions
Reading is the default. Actions sit behind separate permissions and preview what they would do before anything runs.
The shift

What changes with Unolia

Before

A login for every provider, and still no project context.

With Unolia

An agent queries Unolia for scoped project context built from provider data.

Before

Generic answers, because the AI can't see the full picture.

With Unolia

Specific answers, pulled from the same workspace your team uses.

Before

Every AI conversation starts from zero context.

With Unolia

Every conversation starts from the same source of truth as the team.

Give agents context before you give them power.

The workspace your team builds is the context your agents read. Start with the source of truth, and the day you try agents, it is already there.

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