Burnlog gives engineering leaders real-time visibility into how every developer uses AI — token by token, dollar by dollar. Stop the bleed. Start optimising.
Free during beta · No credit card required
Works with your existing AI tools
Features
Live feed of every AI request across your org — model, tokens, cost, developer — as it happens.
Break down total AI spend by developer, team, or project. Spot who's driving value and who's burning budget.
Automatically flag redundant prompts, inefficient sessions, and usage spikes before they blow the budget.
Unified observability for Claude, GPT-4, and any OpenAI-compatible model — one dashboard for everything.
Proprietary efficiency metric based on output quality, session length, and category classification. Use it in 1:1s to coach developers to use AI better — and justify your AI budget to finance with hard data.
Auto-classifies sessions: debugging, generation, review, docs, architecture. Know where AI time goes.
Set daily or monthly limits per developer or team. Get alerts before the invoice surprises you.
Command Center
Every request, every developer, every dollar — streamed to your dashboard in real time. No prompt text. Full GDPR compliance.
| Developer | Model | Tokens | Cost | Category | Status |
|---|---|---|---|---|---|
| Sarah R. | Claude Sonnet | 1,402 | $0.042 | Code Review | High |
| Marcus J. | GPT-4o | 8,910 | $0.267 | Generation | Review |
| Tara L. | Claude Sonnet | 892 | $0.027 | Architecture | High |
No agents to install, no workflow changes. Developers swap one URL — you get full visibility.
Developers replace api.anthropic.com with your Burnlog endpoint. One line. Done.
Every request passes through our lightweight proxy. Metadata logged instantly — tokens, cost, developer — then forwarded with zero latency impact.
The dashboard updates in real time. View sessions, efficiency scores, cost forecasts, and team trends — without ever touching prompt content.
Automated Analysis
30% of sessions are low-efficiency
Marcus J. spent $891 this month on sessions where less than 40% of generated tokens contributed to useful output.
Platform team spends 2× more than average
The platform team's usage spiked 240% after switching to GPT-4o for batch generation tasks without a token budget review.
12 developers using the same prompt pattern
A "Review PR" prompt is run by 12 different engineers individually. Caching it would save an estimated 18% in monthly tokens.
Pricing
Early access teams get 6 months free. You keep your own API keys — we never mark up AI costs.
Get early access
Join the waitlist and be first when we open the beta. Free for 6 months — no credit card.
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