Model policy
This workflow is spending ~$8,400/month on a premium model for a task that appears suitable for a smaller model.
What to change
Run this evaluation set against three lower-cost candidates before changing the default.
Recommendations, not dashboards.
Betto continuously surfaces the highest-impact optimization opportunities across your AI stack.
Your tools tell you what happened.
Betto tells you what to do next.
Prompt caching
This 11K-token system prompt is repeated across 74% of requests with almost no cache utilization.
What to change
Restructure the prompt around a stable cached prefix to materially reduce input cost.
Retrieval
This RAG workflow retrieves 20 chunks by default, but successful runs consistently rely on fewer than 6.
What to change
Test a lower top-k with a relevance threshold.
Betto uses those signals as evidence and combines them with continuously updated optimization intelligence.
AI best practices expire fast.
New models launch. Pricing changes. Better patterns emerge. Betto continuously tracks models, benchmarks, provider capabilities, and optimization techniques, then applies what matters to your environment. So your optimization strategy evolves as AI does.
Betto works with the stack you already have.
The integrations provide the evidence. Betto turns it into recommendations.
Questions we get asked.
Make every AI dollar work harder.
Build AI fast. Stop guessing what to optimize next.
We're opening Betto to engineering teams running meaningful AI workloads in production. Get early access and see what your AI stack should improve next.