Never refactor your
AI code again.
PickAUseCase is the AI control plane between your product and every LLM provider on Earth. Stop hard-coding model dependencies. Abstract your AI into stable, use-case-driven endpoints.
Drop-in replacement for OpenAI/Anthropic SDKs. Switch in under 10 minutes.
Compatible with every major provider
The Paradigm Shift
The Old Way vs The PickAUseCase Way
Logic Focus
Spending hours debating GPT-4o vs. Claude 3.5 Sonnet.
Defining /summarize or /code-gen and moving on.
Model Upgrades
Breaking open the IDE to update endpoints and test prompts.
We adopt the latest models automatically so you stay ahead while you sleep.
Developer Workflow
Your backend is a house of cards waiting for a model deprecation.
One stable API — swap models in the dashboard, never touch the code.
Breaking Changes
A model switch breaks your JSON parsers and crashes production.
A standardized layer ensures outputs stay identical regardless of the provider.
Incident Response
Provider goes down — spend 5 hours refactoring at 2 AM.
One click to blacklist a provider; failover happens in milliseconds.
Cost Management
Paying a % markup on every token; high scale means high punishment.
Predictable monthly cost with no markups or scale penalties.
Benchmarking
Following “AI Twitter” just to see which model is currently winning.
We handle the evals and benchmarking — your stack is always optimized.
Vendor Risk
You’re at the mercy of one company’s policy and pricing.
Total vendor independence — switch providers as the market changes.
A/B Testing
Building custom routing logic, managing split-tests, and manually tracking costs vs. quality.
Toggle “Model A vs. Model B” in the dashboard; trickle 10% of traffic instantly without a redeploy.
Flat pricing. No token tax.
Two tiers. Same abstraction. Different control.
Waitlist members get ~50% off their first year.
Builder
For indie hackers, early AI SaaS, and MVP builders
Professional
For AI-native SMBs and scaling SaaS
Stop Refactoring.
Start Shipping.
Claim one of 150 Founding Team spots. Founding teams get early access, priority onboarding, and direct input into product direction.
No spam — technical updates and early access only
“Every AI product I shipped ended up with the same problem: Spending time managing AI rather than building my product. Failover chains. Routing logic. Benchmarking new releases. Vendor lock-in. Every upgrade meant touching production code. I realized the real issue wasn’t which model to use. It was that our products were married to them. I built PickAUseCase to give developers an AI Divorce. The freedom to switch, optimize, and scale without ever touching production code again.”