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Meet Toby AI Agents

Delegate engineering work to Toby AI Agents.

Build AI teammates you can delegate engineering work to. They investigate issues, run checks and return findings and propose fixes, working in your environment with your tools and approval rules.

Workspace · AgentsSRE AgentWorking
YS

✓Logs → 1,204 pool_wait_timeout in 18m

✓Metrics → db.pool.active at max since 14:22

✓Traces → payment.charge p95 2.8s · 8,412 sampled

✓Events → deploy checkout-api v2.14.1 at 14:20

Correlated with AppDev Agent

Connection pool saturation in checkout-api v2.14.1. Pool size stayed at 40 while traffic rose 2.4x after the release, so waits accumulate at the payment call.
Rollback to v2.14.0 is staged and a pool-size patch is drafted. Nothing runs until you approve it.

Awaiting your approval

Roll back checkout-api to v2.14.0

Click Approve rollback to see what the agent does next.

Example run. Illustrative data.

Roles and scope

Each Toby AI Agent comes ready for its role.

Set the scope once and the agent works inside it, at any time. Your team gets a finding to act on, and approves any change.

SRE Agent owl

INCIDENT INVESTIGATION

SRE Agent

“Picks up your alert, traces the cause and leaves a rollback for you to approve.”

Skills

  • Alert triage
  • Log investigation
  • Trace analysis

Reads

Metrics, logs and traces for the services you scope

Delivers

Likely cause, supporting evidence, and a rollback or scaling change for your approval

Entry points

Where you start an agent

An agent is not a separate console. It opens where the work already is, and inherits the context you were looking at.

01 · From a dashboard

You spot a spike

Open the agent panel beside the chart. It takes the time range, the services in view and your filters with it.

Agent panel· checkout-api · last 6h
TW

TrueWatch

Context attached from your dashboard

14:00–20:00checkout-apienv: prod
Ask about this chart

Recurring tasks your teams do, now on autopilot with Toby AI Agents.

Set the rules. Toby AI Agents act on alerts, schedules or questions, with your approval before making changes.

Approval and audit

Runs on infrastructure you control

- Install the agent runtime on a Linux host or in a container, then connect it to your TrueWatch workspace. Your team manages its network and permissions, and the runtime can send its own metrics, logs and traces back so you can watch the agent like any other workload.

SRE Agent

Tracing latency

Security Agent

Scanning IAM

AppDev Agent

Reviewing deploy

FinOps Agent

Finding idle nodes

4 agents working

SRE Agent

Tracing latency

Recorded in audit log

SRE Agent · approved by human

A-2207 · Roll back checkout-api to v2.14.0 · 14:41

SRE Agent needs approval

Roll back checkout-api to v2.14.0

3 regions · 14 pods · reversible

ApproveDecline

Recorded in audit log

Roll back checkout-api to v2.14.0

A-2207 · Approved by human · 14:41

HOW IT RUNS

Your agents run on your own host, and every run stays on the record.

The runtime installs in your environment and connects to your TrueWatch workspace. Each alert, schedule or question leaves a run your team can open and review.

  • Read every stepEach run keeps the tools the agent called, what they returned and the evidence behind the answer.
  • Put it on a scheduleRun it hourly, daily, on weekdays, weekly or on a cron schedule, and post the result to your team’s chat. Anything that changes a system still waits for your approval.
  • Host it yourselfInstall the runtime on a host or in a container you manage, then connect it to your TrueWatch workspace. Your team controls the network, permissions and dependencies.
Picked up bySRE Agent· asked from the checkout-api dashboard

log.search

1,284 timeouts to payments-db

metric.query

p95 2.8s on payment.charge

deploy.events

v2.14.1 shipped at 14:20

Answer

v2.14.1 cut the payments-db pool from 50 to 10.

Evidence attached · 3 sourcesSave as routine

SRE Agent · every weekday 09:00

checkout-api p95 check

Mon
09:00
Done
Tue
09:00
Done
Wed
09:00
Needs approval
Thu
09:00
Done
Fri
09:00
Done

Same scope every run. Changes still wait for approval.

Dashboard

TrueWatch

data engine

One DQL

Every agent

SRE
Security
AppDev
FinOps
Custom

No copy of the data.

Your dashboards and every agent read from the same place.

01 Read every step02 Put it on a schedule03 Host it yourself

HAND OVER THE RECURRING WORK

Give every team an agent. Keep control. Save time on repetitive work.

Put Toby AI Agents to work on alert triage, recurring checks and investigations. Find a plan that fits the work you want to delegate, so your team can spend less time repeating it.

The TrueWatch Infrastructure dashboard
FAQ

You have questions. Toby has the answers.

TruePilot works beside your team. You ask a question, and it analyzes the evidence and recommends a fix for your team to carry out. Toby AI Agents take on a role of their own. Each one investigates inside the scope you assign, proposes the action, and runs it once you approve.

Explore Toby AI TruePilot

EXPLORE MORE WITH TRUEWATCH AI

Get more done with the AI that knows your systems.

  • Toby AI TruePilot

    Ask in plain language. Analyse your current view and build dashboards with AI assistance.

    Explore product
  • OWL CLI & MCP Server

    Connect AI agents and developer workflows to TrueWatch observability data.

    Explore product
  • AI Agent Observability

    Trace agent steps, model calls and tool execution to investigate latency, cost and risk events.

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  • LLM Observability

    Track model requests, latency, token usage and cost to pinpoint slow or failed calls.

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GUIDES & INSIGHTS

Keep up with what’s next in observability and AI.

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