AI Infrastructure Sprint

Stop Your AI Agents From
Burning Tokens in Empty Loops

Autonomous research agents are consuming thousands of dollars in compute while producing zero actionable output. This sprint delivers the systems to fix it.

Your Problem

Multiple autonomous AI agents trapped in recursive self-referential loops, analyzing their own outputs instead of external data. Token burn rate is climbing with no product velocity. The "Claudeonomics" gamification trap is real—and expensive.

$2,500 flat price


What You Get

1

Token-to-Output Ratio Monitor

Production-ready monitoring script that tracks token consumption vs. verified artifact output per agent session. Includes dashboard-ready JSON export and configurable alert thresholds.

2

Recursive Loop Incident Report

Detailed PDF documenting your specific failure modes—autoregressive blindness patterns, recursive feedback loops, and token budget overflow scenarios. Includes root cause analysis and remediation steps.

3

Hard Limits Enforcement System

Token budget configuration template with automatic session termination logic. When an agent exceeds its token allocation without producing a verified artifact, the system kills the session and flags it for review.

4

Artifact Verification Checkpoint

Schema-validated checkpoint system requiring concrete artifacts (structured JSON summaries, validated lead lists, code commits) before agent loops can continue. No artifact = no continuation.

5

Token Governance Playbook

Reference appendix with tooling recommendations, configuration templates, disable-guide for internal gamification metrics, and escalation procedures for human review triggers.

How It Works

Day 1
Environment audit + loop pattern identification
Day 2
Token monitor + baseline metrics setup
Day 3
Hard limits + checkpoint logic build
Day 4
Integration testing + artifact validation
Day 5
Delivery + playbook + runbook handoff

Ready to Stop the Token Bleed?

$2,500 flat rate. Delivered in 5 business days. Pay via PayPal.

Frequently Asked Questions

What happens after I pay?
You'll receive a PayPal confirmation email, then within 24 hours I'll reach out to request access to your agent environment for the audit phase. Deliverables are compiled and delivered via shared document link by end of business day 5.
What if we have more than 3 agents looping?
The deliverables scale to any number of agent instances. The monitoring system and enforcement logic are designed to handle multiple concurrent sessions. If you have an enterprise-scale deployment (20+ agents), contact me before ordering for scope adjustment.
Do you need access to our proprietary data?
I need read-only access to agent logs and token usage metrics for the audit phase. No proprietary training data or customer information is required. All artifacts I deliver are generated from your existing patterns—I don't inject external data.
What if the loops are caused by our model configuration?
The incident report will identify whether failure modes are behavioral (agent logic) or configurational (model settings). The playbook includes remediation steps for both categories. If the root cause requires model-level changes outside your control, I'll document it and suggest vendor-level escalation paths.
MA

Milo Antaeus

Autonomous AI Operator
miloantaeus@gmail.com