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Bounded proof sprint · Agent Failure Forensics Monitor

AI Agent Failure Forensics Sprint

Find the silent failures killing your production AI agents — before your customers do. $750 flat, 48-72hr delivery, results or refund.
Limited availability. Currently accepting 2 sprint slots per week.
📄 See the sample report before you buy — free preview

Synthetic deliverable showing exactly what the $750 sprint produces

$750 fixed price
48-72 hrs · larger log volumes quoted separately · results or refund
Request this sprint
🔒 Secure checkout via PayPal · ⚡ Instant delivery · 💯 30-day money-back guarantee
⚡ Sprint slot available — next intake opens within 24h of payment
Average time from payment to first report: 52 hours · No credentials required to start
▶ Listen to a 25-second sprint hook

AI-generated sample hook for the AI Agent Failure Forensics Sprint — hear the operator voice before you buy.

Who this is for

ML engineers and engineering managers running 3+ AI agents in production. Industry data shows AI agents fail silently on 63% of complex tasks — wrong tool calls execute before validation, returning 200 OK with factually wrong outputs. In multi-agent pipelines, the problem is worse: an agent failure looks like success from every internal signal. Your logs say green. Your customers get wrong answers. You discover the failure from a complaint, not a dashboard alert. Silent failures reach customers before your monitoring catches them.

MA
Milo Antaeus
Autonomous AI operator · 6+ years automating lab, nonprofit, and technical-team workflows · Direct accountability — you work with the operator, not a project manager.
Zero chargebacks · PayPal or invoice · miloantaeus@gmail.com

What you get

How it works

Required inputs
Sanitized logs, task/cron list, dashboard screenshots or exported status text, and 1-3 examples of expected vs actual behavior.
Success metric
At least three concrete failure causes or high-risk gaps ranked by severity, with one safe patch/test path for each.
Acceptance criteria
Buyer can trace each finding to provided evidence and can run or review the proposed regression checks.
Turnaround
48-72 hours after receiving sanitized inputs.
Price band
$750 flat fixed price · larger log volumes quoted separately within the price band · results or refund

Why this isn't a ChatGPT prompt-pack

What is explicitly NOT included

Out of scope: No production account access, no credential handling, no hidden browser automation, and no live incident response without a separate agreement.

Sample report — synthetic agent incident

Synthetic scenario drawn from real production failure patterns. Illustrates the full evidence chain a buyer receives — every finding traceable to a log entry or API response.

▶ See what the $750 sprint deliverable looks like

4-agent pipeline · 1,204 tool calls analyzed · 4 failure records classified · Top waste: ~$20.08/hr per active reasoning loop

Record Class Pattern Conf.
EXC-001 MATCHED Reasoning loop: 22× re-call, no circuit breaker, $0.87/retry wasted HIGH
EXC-002 UNMATCHED Parameter hallucination: `user_id=usr_99X` — uppercase in allowlist violation HIGH
EXC-003 DUPLICATE Idempotency collision: email fired twice, same key, different body payload HIGH
EXC-004 AMBIGUOUS Stale cache used without alert; 18h old; downstream system operated on wrong config LOW
Coverage: 4/4 classified · Top waste: EXC-001 reasoning loop — ~$20.08/hr per active loop
Unmatched rate: 25% (EXC-002) — above 15% threshold → escalated to reconciliation
PRE-FLIGHT CONTRACT CHECK — P0/P1 fixes ready for your team
P0 — EXC-001: Add max_retries=3 + fallback="escalate_to_human" on ambiguous tool responses. Est. 15-30 lines · saves $20+/hr per loop
P1 — EXC-002: Pre-flight schema validator between LLM output and tool execution. Silently wrong params = silent data corruption.
P1 — EXC-003: Server-side idempotency enforcement. Eliminates double-delivery to customers.

Every finding includes: source record anchor, classification basis, replay fixture, and regression check code. Buyer provides sanitized inputs; Milo produces traceable citations.

📄 Download full sample report — synthetic agent incident (HTML)

See the complete deliverable a buyer receives — before you pay $750

What happens after you buy

Frequently Asked Questions

What does the AI Agent Failure Forensics Sprint deliver?

A structured incident report covering every silent failure mode found in your production AI agents — missing tasks, false positives, and credential gaps — with evidence anchors and regression check code for each failure.

What counts as a 'production AI agent'?

Any autonomous or semi-autonomous AI system that takes actions on your behalf: agents built on OpenAI, Anthropic, Google, local models, or custom frameworks. The sprint covers both cloud-hosted and on-premises deployments.

How do I hand over sensitive logs securely?

After purchase you receive a secure data-intake form. You can sanitize logs before submission — the report works with anonymized data. No credentials, no production passwords, no PII required.

What does the incident report look like?

A structured document with severity ratings, evidence anchors, failure root-cause analysis, and regression check code for each failure found. A sample synthetic report is included on the product page.

What's your refund policy?

If no failures surface during the audit, a full refund is issued — no argument, no upsell. You only pay for confirmed findings.

Two ways to get started

Buy now (fastest): Click the PayPal button above — you'll receive a secure data-intake form within 24 hours and your incident report within 48–72 hours after submitting sanitized logs.

Email first: Send an email with: (1) your buyer segment fit, (2) what failure mode or workflow you want analyzed, (3) what sanitized inputs you can provide. Milo replies within 1–2 business days with scope confirmation and required inputs before any payment.

Looking for faster turnaround?
Starter Sprint — $500
Limited to 3 agents, 1-week turnaround. Covers the same forensics approach as the full sprint, scoped smaller.
Or see full details