Stop Using 2,000ms LLMs for Simple Choices: Introducing Laya (<35ms Free AI Decision API) A developer built Laya AI Decision Gateway, a free API that uses a non-autoregressive 322M-parameter multilingual bidirectional encoder (mmBERT) to make simple classification decisions in a single forward pass in RAM in under 35 milliseconds, instead of relying on generative LLMs that take around 2,000ms. The service exposes six decision endpoints — triage, guard, spam filter, sentiment, moderation, and decide — and reports roughly 40–70ms latency via its direct edge microservice versus 750–1,200ms through the RapidAPI marketplace proxy. It offers a free tier of 16,666 requests per day on RapidAPI. Every day, developers wire up massive generative Large Language Models like GPT-4o, Claude 3.5, or Gemini to make simple classification decisions: Generative models generate text token-by-token. For simple structured tasks, this introduces: To solve this, I built Laya AI Decision Gateway https://laya.harshad.eu.org . Inspired by cognitive "System 1" thinking fast, automatic, and deterministic , Laya uses a non-autoregressive 322M parameter multilingual bidirectional encoder mmBERT . Instead of generating text, it maps inputs into high-dimensional vector spaces and computes calibrated categorical probabilities in a single mathematical forward pass in RAM < 35 milliseconds . Transparency in AI latency is essential. Here are our measured numbers: | Layer | Measured Latency | Technical Explanation | |---|---|---| | Foundational Model Core | < 35 ms | Pure tensor mathematical execution of the 322M mmBERT encoder in RAM. | | Direct Edge Microservice | ~40 ms – 70 ms | Direct TLS 1.3 container edge transit. | | RapidAPI Marketplace Gateway | ~750 ms – 1,200 ms | Real-world round-trip over RapidAPI public proxy includes key validation, daily quota accounting, and international routing . | Laya provides 6 dedicated decision endpoints: POST /v1/triage billing , technical , account , grades urgency 0–2 , and flags churn risks. POST /v1/guard POST /v1/filter/spam POST /v1/sentiment POST /v1/moderate POST /v1/decide /v1/triage : curl --request POST \ --url https://laya-ai-api-gateway-lightning-decision-engine-api.p.rapidapi.com/v1/triage \ --header 'x-rapidapi-host: laya-ai-api-gateway-lightning-decision-engine-api.p.rapidapi.com' \ --header 'x-rapidapi-key: YOUR RAPIDAPI KEY' \ --header 'Content-Type: application/json' \ --data '{ "subject": "Billing dispute regarding invoice 4081", "body": "I was double charged this morning for my enterprise plan. Please refund immediately or cancel my account." }' { "department": "billing", "urgency level": "critical", "is churn risk": true, "recommended priority": "critical", "latency ms": 28.4 } Privacy is first-class: I've set up a generous free tier on RapidAPI offering 16,666 free requests per day ~500,000 requests/month with zero cost so developers can integrate it into automation workflows: I would love to get your thoughts What endpoints or workflow integrations e.g. native n8n community nodes would you like to see next?