Service
Agent operations
Agents need operational discipline once they touch real work. The question is not only whether the model is good. It is whether the system can be observed, evaluated, rolled back, and supported.
iftodo helps teams move from impressive demos to supportable agent systems. That can mean eval suites, trace design, tool-call logging, release gates, kill switches, review queues, or incident playbooks.
Where this fits
- You have an agent prototype and need to make it safe enough for real users.
- Failures are hard to inspect because prompts, retrieval, tool calls, and user context are scattered.
- You want a practical operating model before autonomy expands.
What gets delivered
- 01
Operational map of agent paths, risk levels, human review points, and failure handling.
- 02
Evaluation and observability plan with traces, fixtures, release checks, and incident signals.
- 03
Implementation of selected controls such as logging, review queues, kill switches, or regression tests.
What I need from you
- Current agent flows, prompts, tool calls, logs, and known failure cases.
- Risk tolerance for each action and the human process around exceptions.
- Deployment, monitoring, data retention, and security constraints.
How the work runs
- 01
Trace one or two high-value flows end to end and identify where behaviour becomes opaque.
- 02
Add the smallest controls that make failures observable and recovery possible.
- 03
Tie evaluation to release, so changes in prompts, tools, retrieval, or models have a check before they reach users.
Acceptance and evaluation
- A failed run can be reconstructed from logs without guessing.
- Known regression cases are part of a repeatable check before release.
- Operators know when to intervene, pause, or roll back an agent capability.
Evidence and work
Common questions
- Can you review an existing agent instead of building a new one?
- Yes. Agent ops work often starts with an existing prototype or production workflow and focuses on visibility, evaluation, and control.
- Do we need a full observability platform?
- Not always. The right first step may be structured logs, a small eval set, and clear release gates. Tooling follows the operating need.
- What does supportable autonomy mean?
- It means the agent can act inside named limits, failures are visible, humans know where they remain responsible, and the system can be paused or changed safely.