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Services / build / automation
Agent Ops
Keep your agent from burning $400 in a loop overnight.For teams running multi-step agents in production. We build the trace inspector, failure replay, guardrails, budget caps, and human-in-loop escalation that keep agents from going off the rails. Two weeks to instrumented; four weeks to defensible.
service graph
Surface ⇄ System
- price
- from $7,500
- timeline
- 3–4 weeks
- cadence
- one-time
price
from $7,500
timeline
3–4 weeks
cadence
one-time
scope
One-time / fixed scope
LangSmithBraintrustOpenTelemetryTemporalInngest
00// matrix position
Where this fits in the services matrix.
Every service page now names the buyer state, the commercial shape, and the next route. That keeps the catalog navigable instead of feeling like disconnected offers.
01 · best fit
Build automation with a fixed scope and written handoff.
02 · commercial shape
from $7,500 · 3–4 weeks · One-time / fixed scope
03 · route logic
Use the diagnostic or book a call to confirm fit before scope is written.
04 · decide
Not sure this is the right service? Run the route finder and get the matching path.
00B// agent operations
Bespoke architecture for Agent Ops.
Agent work needs monitoring, evals, escalation paths, and maintenance. Otherwise the demo becomes an operational liability.
agent operations
Surface ⇄ System
Agent operations loop
The diagram is intentionally simplified: it shows the buying logic and operating path, not a decorative fantasy architecture.
price
from $7,500
timeline
3–4 weeks
mode
operate
quality
eval-gated
01// what you walk away with
The outcome, not just the output.
- 01Every agent run traced, replayable, and searchable
- 02Per-run + per-day budget caps that actually fire
- 03Guardrails for tool use, output format, recursion depth
- 04Human-in-loop escalation with a real UI
- 05On-call alerting when agents misbehave
02// scope
Concrete artifacts you keep — and what we leave out.
Working code, written docs, dashboards your team owns. We also list what this engagement deliberately does not cover, so scope is honest before you click.
// deliverables
- Tracing layer (OpenTelemetry-based, vendor-portable)
- Replay tool — re-run any historical agent step with new code
- Budget caps: per-run, per-user, per-day
- Guardrails: max steps, allowed tools, output schema enforcement
- Escalation UI + Slack/PagerDuty hooks
- Runbook for the 5 most likely failure modes
// not included
- Building net-new agents (we instrument what exists)
- LLM provider migration
03// methodology
How the engagement actually runs.
- 1Week 1
Trace + replay
OpenTelemetry instrumentation, trace storage, replay tool. Every step searchable by user, time, tool, error.
Tracing layerReplay UISearch index - 2Week 2
Guardrails + budgets
Per-run / per-day budget caps. Tool allowlists. Output schema enforcement. Recursion / step limits.
Budget serviceGuardrail middlewareSchema validators - 3Week 3
Escalation + alerting
Human-in-loop queue UI, Slack/PagerDuty integration, on-call rotation hooks, runbooks for common failure modes.
Escalation UIAlerting configRunbooks - 4Week 4
Hardening + handoff
Load testing, failure injection, adversarial replay. Final handoff with on-call training session.
Load test reportChaos drill reportOn-call handoff
// track record
Receipts, not promises.
- 100%
- Run trace coverage
- < 1 min
- Time to replay any run
- Capped
- Per-run + per-day budgets
- runaway spend prevented
04// questions
Common questions.
01We run agents on LangGraph / CrewAI / our own framework — does this work?
Yes. The instrumentation is OpenTelemetry-based, so it sits underneath whatever orchestration framework you use.
02What does "human-in-loop escalation" mean concretely?
A queue UI where flagged agent runs land for review, an approve/reject/edit interface, and a feedback loop that updates the eval set.
03What about prompt injection?
Output schema enforcement + tool allowlists + escape-hatch prompts cover the common cases. Adversarial coverage is an add-on.
// engage
Ready to start Agent Ops?
A 30-minute call to confirm fit, scope, and timeline. No pressure, no slides.
automation system
From offer to operating system.
Agent Ops is presented as a real engagement, not a generic service page: the surface, backend shape, delivery artifacts, and conversion path are all visible before the first call.
Scope Agent Opsautomation system
Surface ⇄ System
- price
- from $7,500
- timeline
- 3–4 weeks
- tier
- A
price
from $7,500
timeline
3–4 weeks
tier
A
Living architecture
Scope ⇄ Ship
The page now exposes how the engagement moves from buyer pain to production artifact, then into measurement and next-step routing.
Scope Agent Ops- 01Trace + replayOpenTelemetry instrumentation, trace storage, replay tool. Every step searchable by user, time, tool, error.
- 02Guardrails + budgetsPer-run / per-day budget caps. Tool allowlists. Output schema enforcement. Recursion / step limits.
- 03Escalation + alertingHuman-in-loop queue UI, Slack/PagerDuty integration, on-call rotation hooks, runbooks for common failure modes.
- 04Hardening + handoffLoad testing, failure injection, adversarial replay. Final handoff with on-call training session.
Conversion path
Surface ⇄ System
01
Diagnose
Confirm the real automation constraint, current surface, and business goal before writing code.
02
Design the system
Turn the offer into screens, data, workflows, ownership boundaries, and a measurable delivery plan.
03
Ship the artifact
Deliver Agent Ops as working code, docs, dashboards, or launch assets your team can actually use.
04
Route the next move
Decide whether the work becomes a one-time delivery, a care plan, or a larger product build.
Proof assets
Real only
Asset slot
Service proof visual
Add a real screenshot, deliverable preview, or dashboard capture from a shipped engagement when approved.
Verified asset
Founder/operator photo
Real founder photo reinforcing principal-led delivery.
Asset slot
Client quote or logo
Add only permissioned testimonials or logos tied to this service category.