Blog
News and updates about the platform
You're paying Ferrari prices to drive to the corner shop
A 107x price gap between models means most of your API calls pay a premium they never earned. Right-size each prompt and the bill follows the work.
The model you picked six months ago is a bad deal now
The price-quality frontier moves monthly and your hardcoded default never notices. Decide the model per request instead of baking one into a config file.
Nobody actually knows what their AI costs
The monthly invoice hides everything that matters: which model answered, what each call cost, how much was failed retries. You can't cut what you can't see.
Stop counting tokens. Count answers that worked.
The cheapest model on the price sheet loops four times and still needs a human. Optimize dollars per task that worked, not dollars per million tokens.
Cheaping out blind is how you torch trust
The token savings are yours to count. The bad answer is your customer's to screenshot. Cheap is fine; cheap-and-unwatched is the trap.
One provider, one outage, one bad day
Wire your app to a single provider and your reliability is capped at theirs. Their bad Tuesday becomes yours, with no second path to route around it.
Your engineers quietly became plumbers
Wiring models, re-tuning prompts after silent updates, and babysitting every provider's quirks is a recurring tax billed in your best engineers' time.
Benchmarks are lying to you
Leaderboard scores measure memorization and gaming, not your workload. The only test that predicts how a model behaves for you is your own traffic.
The subscription math doesn't work for people who build
A flat fee is a bet against a cap the vendor controls. You overpay on the quiet weeks and get throttled on the loud one, with no vote either way.