Deploy Resident Agents
Give a service a long-lived agent that watches it, keeps its runbook current and brings useful evidence when something goes wrong.
A payments service, a nightly batch, a data warehouse, an integration nobody wants to touch: each runs for years, drifts, fails at 03:00, and is understood by whoever happened to be on call the last time.
A resident agent stays with that system. It learns where the logs are, keeps the runbook current, performs routine checks and escalates with a written summary. Its usefulness grows as it accumulates a working record of the system.
Available without an idle machine
In Lightspeed, a resident is a bot with an ongoing job. It receives events, routes related work into conversations, and uses a profile defining its instructions, tools and resources.
Those conversations run as durable workflows. They can remain available for months without a dedicated running machine for each one. The bot wakes when there is work to do, and the session’s recorded state survives worker restarts.
Give it a view of the system
The resident might read dashboards through connected tools, inspect files on an approved host, or run checks in an attached environment. Its access can start small: read the logs, examine the deployed configuration, and report what changed.
Persistent virtual workspaces hold its notes, runbooks and procedures. These files remain available without an execution machine. People can read and correct them, and the agent can use the corrections in its next investigation.
The team decides which maintenance actions the resident may perform and which need review. A separate execution environment and limited service credentials can give it the authority appropriate to that job.
Wake it when something matters
Bot triggers can supply scheduled checks, webhooks and polling results. Routing keeps an incident’s messages together while separating unrelated work. A daily run budget bounds how much activity the bot can start.
For a batch service, that could mean a check after every nightly run and an immediate investigation when a failure alert arrives. Telegram and WhatsApp channels provide a way to discuss the findings; configured tools connect other operational systems.
Escalate with a useful summary
A useful resident brings evidence: what changed, which checks passed, what failed, and what it proposes next. An external business workflow can own approval and application of a consequential fix.
Imagine the first month beside a batch chain. The resident begins by reading scripts and recent logs and writing a runbook. It then watches successive runs and records normal behaviour. When the chain fails, it has a starting point for investigation and a place to collect the findings.
The next system benefits from the same pattern. Each resident has a clear scope, a durable working record and a team that owns its access.
Read next: Automate Enterprise Operations for putting agents inside existing processes. The bots and triggers guide covers configuration.