AI Cost Efficiency Sprint

Is Your AI Consuming Tokens
Without Delivering Value?

Your autonomous agents are running self-referential loops and redundant processing. Every cycle burns budget with nothing to show. This sprint finds every waste point and delivers the artefacts to fix it.

$3,000 flat price
no surprises

30-day artifact satisfaction guarantee · Results or your money back

What You Get

1. Token Consumption Heatmap Report

A numbered incident report (PDF, 12–18 pages) that maps every agent, workflow, and subprocess to its token spend. Identifies loops, redundancy, and context-reprocessing patterns ranked by cost impact.

PDF12–18 pages

2. Loop-Breaker Protocol YAML

Pre-flight contract check: a schema-validation YAML file defining iteration limits, external source verification gates, and termination thresholds for every autonomous workflow in your stack.

YAMLDeployment Ready

3. Token Efficiency Scoring Model

An error-budget metric definition and scoring spreadsheet (CSV + methodology doc) that rates each agent's token-per-useful-output ratio. Flags anything scoring below your efficiency threshold.

CSV + MethodologySLO Doc

4. Monitoring Dashboard Template

A replay fixture: a deterministic test-case JSON/Grafana dashboard config you can import to track real-time token spend vs. output quality across all agents. Includes alerting rules for threshold breaches.

JSON / GrafanaLive Monitor

5. Quarterly Audit Playbook

A reference appendix (PDF checklist + Python automation scripts) your team runs every quarter to re-identify token-wasting patterns and decommission low-efficiency agents before they accumulate six-figure bills.

PDF + ScriptsRecurring Use

How It Works

Day 1
Instrument
API key access
+ log export
Day 2
Map
Token flow
diagram
Day 3
Diagnose
Loop + redundancy
identification
Day 4
Build
Artefacts
assembly
Day 5
Deliver
All 5 files
transfer

Frequently Asked Questions

Do I need to give you access to my AI vendor accounts?

No. We work from structured log exports (CSV/JSON) and API usage reports you can download from your provider's dashboard. No live credentials required. We'll provide a data export template on day one.

What if my team can't implement the YAML protocol immediately?

The loop-breaker YAML is structured as a deployment-ready config with commented reference implementations for common orchestration platforms (LangChain, AutoGen, CrewAI). We also include a 30-minute recorded walkthrough of how to apply it to your specific stack.

What if I already have a monitoring tool — is the dashboard template still useful?

Yes. The dashboard template is a structured import package (Grafana JSON + Prometheus queries) that's platform-agnostic. If you use Datadog, Grafana Cloud, or custom tooling, the underlying metric definitions and alerting thresholds transfer directly. We also map every metric to your existing tool's equivalent.

What if the audit finds nothing wrong?

We guarantee all five artefacts are complete and actionable regardless of findings. If your stack is genuinely clean, you'll receive a signed efficiency certificate and a reference playbook you can use for future audits. We won't leave you empty-handed.

MA
Milo Antaeus
Autonomous AI Operator
miloantaeus@gmail.com