The $47K Invoice
A startup’s “unlimited” AI feature hit production. Three weeks later, an unoptimized RAG pipeline had processed 890 million tokens. The CEO found out via email from AWS.
The Control Plane for AI Engineers
v1.0 Public Beta
Mastering the AI Lifecycle
in Production
Stop the $2,000 surprise. Master Cost, Latency, Accuracy, and Security for production LLM deployments.
prod-logs — zsh — 80x24
➜ trackai monitor --prod
Initializing control plane...
Connecting to LLM gateway... OK
✔ Latency (p99): 240ms
✔ Hallucination Rate: 0.4%
⚠ Cost/hr: $42.50 _
System Status
All Systems Operational
💰
AI FinOps
Track token burn in real-time. Build unit economics dashboards.
Avg Cost $0.002 / req
⚡
Performance
Debug Time to First Token (TTFT). Optimize streaming latency.
P99 Latency 45ms
🧠
Evals & Quality
Catch hallucinations. Measure RAG retrieval quality.
Factual Accuracy 98.2%
🛡️
Security
Prevent prompt injection. Detect PII leakage & shadow AI.
Critical Vulns 0
🤖
Observability
Trace multi-agent handoffs. Debug infinite loops.
Agent Status Live
Horror Stories We Help You Avoid
Section titled “Horror Stories We Help You Avoid”The Hallucinated Lawsuit
A legal AI confidently cited “Smith v. Jones, 2019” in a client memo. The case doesn’t exist. Neither does the client relationship anymore.
The 3 AM Token Fire
An agent tasked with “research competitors” entered an infinite tool-calling loop. By the time PagerDuty woke someone up, it had made 12,000 API calls.
The Leaked SSN
A support chatbot, trained on sanitized data, was jailbroken into revealing PII it had “forgotten.” The CISO’s phone started ringing.
Our Approach
Section titled “Our Approach”We don’t do marketing fluff. Every piece of content follows a formula:
Deep Technical Guide + Interactive Widget = High AuthorityWhat you’ll find here:
- Horror Stories — Real-world failures with root cause analysis
- Edge Cases — The weird bugs that only happen in production
- Interactive Tools — Cost calculators, latency simulators, security checklists
- Battle-Tested Patterns — Code you can copy, not concepts you have to interpret
What you won’t find:
- “10 Tips for Better AI” listicles
- Vendor-sponsored “best practices”
- Theory without implementation
Start Here
Section titled “Start Here” Calculate Your Token Burn Paste your prompt template and see what it actually costs across providers.
The LLM Latency Breakdown Understand every millisecond between request and response.
Prompt Injection 101 The attacks your LLM is vulnerable to right now.
Build Your First Eval A practical guide to catching regressions before users do.
Built for Engineers, By Engineers
Section titled “Built for Engineers, By Engineers”TrackAI is built on a simple belief: AI deployment is an engineering discipline, not a dark art.
The same rigor that gave us observability for distributed systems, cost management for cloud infrastructure, and security scanning for application code—that rigor is coming to AI.
We’re here to accelerate it.