What people actually use these for

A dedicated agent trained on your product docs, FAQs, refund policy, and recent incident notes. It answers first-line customer questions on Telegram, Slack, or your web widget, hands off to a human when it's out of its depth, and keeps a clean audit trail of every interaction.

Because it's single-tenant, the model context is yours — your tone, your product, your business's actual rules — not a generic chatbot persona.

A back-office agent that knows your workflows: drafting weekly updates, summarising customer calls, generating reports from your accounting export, drafting outreach emails, keeping a living memory of who said what and when.

The interesting part isn't the capabilities — it's that the memory is yours. After a few months it knows your business well enough to be a meaningful second pair of hands, not just a smart calculator.

An agent with web search, web extraction, and document analysis tools, configured for your domain. It monitors sources you care about, summarises long documents, drafts briefings, and keeps a structured knowledge base that grows over time.

Single-tenant matters here because the queries themselves are often sensitive — what you're researching reveals what you're working on.

An agent with shell access (gated behind manual approval), file operations, and code-execution skills. It can run one-off scripts on your behalf, draft and apply configuration changes, summarise logs, and act as the interface to your own infrastructure.

This is the highest-trust use case, and the approval-gated execution model is what makes it actually safe. The agent proposes; the operator confirms.

The patterns above are common; they're not exhaustive. The agent's tools, skills, and system context are configurable per deployment, and we're happy to build something specific to your workflow on the scoping call.

The minimum requirement is "a clear sense of what you want it to do." If you have that, the rest is plumbing.