Solutions
Fix your AI bill.
One problem at a time.
PromptUnit solves real infrastructure problems for teams running AI in production. Pick the one that hurts most.
Engineering teams shipping AI features typically hit one of four infrastructure problems as their usage grows. The first is cost, paying flagship model prices for requests that simpler models handle just as well. The second is visibility, knowing the total monthly spend but not which feature, task type, or team is responsible for the majority of it. The third is reliability, having a single-provider dependency that turns every OpenAI outage into an application outage. The fourth is routing complexity, wanting to reduce costs but not wanting to build and maintain the routing logic yourself.
PromptUnit addresses all four through a single proxy integration. One base URL change connects your application to the full routing, observability, and failover layer. The solutions below describe each capability in detail, most teams start with cost reduction and add observability and failover as their infrastructure matures.
Reduce OpenAI Costs
Most popularStop paying GPT-4o prices for tasks that GPT-4o-mini handles just as well. Automatic routing cuts AI spend by 40–70% without changing your code.
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LLM Routing
Route every request to the cheapest model that clears your quality bar. Classification, summarization, extraction, each gets the right model, automatically.
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AI Cost Observability
See exactly where your AI budget goes, by feature, model, task type, and team. Stop guessing, start optimizing.
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Multi-Provider Failover
When OpenAI goes down, traffic routes automatically to Anthropic, Google, or Groq. No downtime. No errors. No manual intervention.
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Not sure where to start?
Connect your OpenAI key and see exactly where your money is going in 5 minutes. No routing changes until you click.
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