RIGHT FIT
Take it before the agent goes live.
- Your agent takes actions, not just answers
- It reads untrusted content from users, documents or the web
- You have no trace of what it did, or why
Make your AI agent safe to run with real users.
The Production-Safe Agent Sprint is a $149 guided sprint for teams about to put an AI agent in front of real users. In five days you reduce its permissions, defend its inputs, gate risky actions, trace every tool call, drill failures, and decide whether to ship.
No code access neededFive days, 1–2 hours eachClear-outcome guarantee
Least privilegeScopes cut per tool
Approval gatesFor high-impact actions
Tracing and evalsEvery tool call logged
Failure drillsOn staging, before users
The product
What is the production-safe agent sprint?
It’s a guided sprint that takes an AI agent from “it works in the demo” to “we know what it can do, what stops it, and how we’ll see it fail”. Each day adds one layer of control, and the last day drills failures and records a decision.
An honest boundary
Who should take the agent sprint?
Teams about to give an AI agent real users, real data or real actions: sending messages, writing records, calling paid APIs or moving money. You need the agent’s code, a staging environment and someone who can change its configuration.
NOT THIS PRODUCT
Choose another route for a different problem.
- You haven’t mapped its permissions: start with the Agent Permission Map ($79)
- You want it built for you: Agentic AI
- A chatbot with no tools
How it works
What do you do on each day?
Five days of one to two hours. Cut permissions to the minimum, defend inputs and validate outputs, add approval gates, limits and a kill switch, trace every run and build an eval set, then drill failures on staging and decide whether to ship.
Least privilege
Start from the permission map, cut scopes and separate credentials per tool.
Inputs and outputs
Injection defences for untrusted content and structured output contracts.
Control
Approval gates, idempotency, retry limits, budgets and a kill switch.
Visibility
Trace every tool call, keep an audit log, alert on spikes, and build an eval set.
Drills and decision
Provider outage, bad tool data, loops and injection on staging, then the report.
Exact output
What do you get at the end?
An Agent Readiness Report with a decision (ship, ship with limits, or hold) and ranked fixes, plus an eval set of known failure cases to run before each release and a one-page agent runbook for when something goes wrong.
Agent Readiness Report
Ship, ship with limits or hold, with the evidence and ranked fixes.
Eval set
Known failure cases to rerun before every release.
Agent runbook
Kill switch, rollback and who to call when it misbehaves.
Worked example
A completed report for a fictional agent.
After the product
What if the decision is hold?
A hold with ranked fixes is a good result: you found it before users did. For an engineer to review the architecture or implement the controls, our Agentic AI team starts from your report. Buyers can also get the 48-Hour Verdict for $199 if the wider app needs review.
Low risk
What if you don’t reach a clear decision?
You get your $149 back. Complete all five days. If you don’t end with a ship, ship with limits or hold decision and ranked fixes, send your workbook within 30 days of purchase and we’ll refund you in full.
Clear-outcome guarantee
Complete the five days and send the workbook within 30 days. If you don’t have a clear decision and ranked fixes, we refund the full $149.
Stuck on a step?
Reply to any email from us with the step number. A Zenveus engineer answers within 1–2 hours during business hours. Steps only, not a code review.
Never wasted
If you later want Zenveus to do the work, the conversation starts from your output instead of from zero.
Straight answers
Frequently asked questions about the production-safe agent sprint
Do I need the permission map first?
It helps but isn’t required. Day 1 builds a quick version if you don’t have one.
Do the drills touch production?
No. Every drill runs on staging with test data and test credentials.
Which frameworks does it cover?
Any tool-calling agent: custom code, OpenAI or Anthropic tool use, LangChain-style frameworks and MCP servers.
Is there a refund guarantee?
Yes. Complete all five days; if you don’t reach a clear decision with ranked fixes, send the workbook within 30 days for a full $149 refund.
The next decision
Put guardrails on the agent before users do.
Five days, five layers of control, one decision.
Covered by the clear-outcome guarantee: complete the five days, and if you don’t reach a decision, get your $149 back within 30 days.