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Services / flagship / Operate retainer
Agent Operations Retainer
Your agent gets better every month — or we tell you why it isn't.Agents drift. Models update. Tools change. Your business evolves. This retainer keeps your deployed agent sharp: weekly eval review, drift monitoring, prompt tuning, tool additions, monthly cost optimization, and a written report so you know exactly what we did and what changed. Cancel any month.
flagship graph
Surface ⇄ System
- price
- from $600
- timeline
- Monthly · cancel anytime
- mode
- operate
price
from $600
timeline
Monthly · cancel anytime
cadence
monthly/mo
scope
Monthly retainer / cancel anytime
Eval reviewDrift monitoringPrompt tuningCost optimizationTool additionsMonthly report
// compare the flagship suite
Compare flagship offers
Five engagements. Pick what matches your situation.
| Engagement | Price | Timeline | Mode | Best for | Action |
|---|---|---|---|---|---|
AI Implementation Consulting | from $1,000 | 2 weeks | Audit | Don’t know where AI fits | View |
AI Agent Development | from $2,600 | 4 weeks | Build | Repetitive ops work eating your week | View |
AI Voice Agent | from $1,800 | 3 weeks | Build | Missed inbound calls | View |
AI Lead Engine | from $2,200 | 4 weeks | Build | Targeted outreach without spam | View |
Agent Operations RetainerYou’re here | from $600/mo | Monthly | Operate | Already shipped — keep it sharp | — |
01// why this exists
Your agent has an on-call team. That team is us.
AI agents fail in slow, quiet ways: a vendor changes a tool API, a model gets updated, eval scores creep down, costs creep up, edge cases stack up. Without monitoring you find out from a customer. We watch eval pass rates, spend trends, and the activity log every week. We tune prompts, add test cases, ship guardrails, and write a monthly retro you actually want to read. Cancel any month — no annual lock-in.
BYOK
Pay LLM providers direct — no markup on tokens
Eval harness
Regressions caught in CI before they reach production
Spend cap
Hard ceiling you set — no surprise OpenAI invoices
Human-in-loop
Approval queue on every action that touches money or customers
02// how it works
The architecture, end to end.
No black boxes. Here's the actual shape of the system you get — with the guardrails, eval loops, and human approvals where they belong.
What we monitor every week
A real ops loop, not a dashboard you forget about.
inputcoreoutput
// where this fits
Real use cases we ship.
- 01
You shipped the agent, now what?
Production AI is a moving target. Models update, APIs change, edge cases stack up.
- 02
No internal AI team yet
Buy ops capacity by the month instead of hiring a $180k role for a part-time job.
- 03
Multi-agent stack
Voice + ops + lead engine all running? Coordinated tuning so they don’t fight each other.
- 04
Compliance-sensitive industries
Documented changes, eval evidence, and audit-ready retros every month.
04// what you walk away with
The outcome, not just the output.
- 01Agent quality stays high — or you find out exactly why it dropped
- 02New tools and workflows added as your business grows
- 03Monthly cost optimization (model swaps, prompt compression, caching)
- 04Drift detection so you catch problems before customers do
- 05Written monthly report — what we did, what changed, what's next
// agent flow
How the agent thinks.
The decision graph behind the engagement. Inputs, branches, and the point where a human stays in the loop.
// your command center
The dashboard you actually use.
Every flagship engagement ships with a control panel — live activity, eval pass rate, spend cap, and an approval queue you can act on from your phone.
Live · Production
Agent Ops — This week
Sample retainer report. You get this every Monday.
agent.v1.4
Eval pass rate
96%
+1pp vs last wk
Spend / task
$0.041
−8%
Tool failures
4
3 fixed
New evals added
+7
edge cases
Live activity
last 5 min- MonTuned quote-drafting prompt: cut hallucinated SKUs from 3% to 0% in evals
- TueAdded 4 test cases from this week’s approval-queue rejections
- WedAnthropic API change — updated client lib, no agent downtime
- ThuSpend cap raised $500 → $750 (you approved) — reflects 30% volume growth
- FriSent monthly retro: 3 wins, 1 close call, 2 changes for next month
Eval pass rate96%
42 / 44 test cases passed · last run 12m ago
Monthly spend$612 / $750
Auto-pause at cap. Slack alert at 80%.
Awaiting approval1
- Refund request > $250 — review
- Outbound email batch — 12 ready
- 1 more queued
05// methodology
How the engagement actually runs.
Concrete phases, concrete artifacts. You always know where we are and what comes next.
- Week 1 of month
Eval review + drift check
Sample 20–50 real agent runs. Score against eval criteria. Flag anything that drifted. Review cost trends.
Eval scorecardDrift reportCost trend chart - Week 2
Tuning + improvements
Apply prompt + tool fixes based on eval findings. Add new tools or workflow expansions. Re-run evals to measure improvement.
Updated promptsNew tool integrationsBefore/after eval delta - Week 3
Cost optimization
Review model choice + prompt length + caching opportunities. Test cheaper alternatives where quality holds. Document savings.
Model comparisonCost savings reportUpdated configs - Week 4
Report + planning
Monthly performance report. Loom walkthrough of changes. Plan next month's priorities with you.
Monthly PDF reportLoom walkthroughNext-month plan
// track record
Receipts, not promises.
- Weekly
- Eval review cadence · on real runs
- 2 new
- Tools / mo included · or workflow expansions
- Cancel any month
- Commitment · no contracts
06// 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 sign.
// deliverables
- Weekly eval review on a sampled set of real agent runs
- Drift monitoring with alerts when quality scores drop
- Prompt + tool tuning based on eval findings
- Up to 2 new tool integrations or workflow expansions per month
- Monthly cost optimization review (model choice, prompt length, caching opportunities)
- Monthly performance report (PDF + Loom)
- Slack channel with 1–2 business day response on issues
- Quarterly strategy call to review trajectory
// not included
- Brand new agent builds (use AI Agent Development)
- Major architecture rebuilds (separate engagement)
- On-call / 24/7 support (use Reliability Retainer for that)
// add-ons
Extend the engagement.
Additional agent
+$360/moAdd a second agent under the same retainer scope.
On-call support
+$600/mo24/7 pager for agent-down incidents with 1-hour response.
See the artifact, not the marketing.
Real shape, redacted content. Pick a tab to preview what ships.
Sample Audit Report
Twelve-page audit excerpt: scope, methodology, findings ranked by impact, and a prioritized fix list. Redacted.
Sample provided after intro call · ask sage@sageideas.dev
How we reduce risk
Async-first, weekly demos, no surprises
You see exactly what shipped each week. No status meetings to attend, no reports to chase.
Code is yours from day 1 — no lock-in
Your repo, your infra, your accounts. We work in your stack. You can take the work in-house at any time.
07// questions
Honest answers.
01Why do agents need ongoing operations?
Three reasons: (1) Models change — what worked on GPT-4-0314 may not work on GPT-5. (2) Your business changes — new tools, new processes, new edge cases. (3) Drift is real — without monitoring, quality degrades silently. The retainer makes this someone's job.
02What if I built my agent with someone else?
We can take over operations on agents we didn't build, but we need a 1-week onboarding to map the architecture and stand up our eval harness if you don't already have one. Onboarding is included in the first month at no extra cost.
03Can I cancel?
Any month, no commitment. We give you the playbook and dashboard access on the way out so your team can take it over.
04How does this compare to hiring an AI engineer?
An in-house AI engineer costs $8–15k/mo loaded. This is a fraction of that, with a tighter scope (agent ops only). If you have multiple agents and need broader engineering, hire an engineer. If you have one or two agents and need them maintained well, this is the play.
// engage
Ready to scope Agent Ops?
Book a 30-minute discovery call. No pitch deck. We'll either confirm fit and send a proposal, or tell you straight that this isn't the right move.
automation system
From offer to operating system.
Agent Operations Retainer 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 $600
- timeline
- Monthly · cancel anytime
- tier
- flagship
price
from $600
timeline
Monthly · cancel anytime
tier
flagship
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- 01Eval review + drift checkSample 20–50 real agent runs. Score against eval criteria. Flag anything that drifted. Review cost trends.
- 02Tuning + improvementsApply prompt + tool fixes based on eval findings. Add new tools or workflow expansions. Re-run evals to measure improvement.
- 03Cost optimizationReview model choice + prompt length + caching opportunities. Test cheaper alternatives where quality holds. Document savings.
- 04Report + planningMonthly performance report. Loom walkthrough of changes. Plan next month's priorities with you.
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.