Every day, developers wire up massive generative Large Language Models (like GPT-4o, Claude 3.5, or Gemini) to make simple classification decisions:
- "Is this support ticket about billing, technical issues, or account management?"
- "Is this incoming user prompt an injection or jailbreak attack?"
- "Is this customer message spam or legitimate?"
The Problem with Generative LLMs in Workflows
Generative models generate text token-by-token. For simple structured tasks, this introduces:
- Unnecessary Latency: 1,500ms to 3,500ms spent waiting for completion.
- Formatting Drift & Hallucinations: Even with structured output prompts, generative models can fail to conform strictly to enums or output unwanted conversational filler.
- Compounding Costs: High per-token pricing rapidly accumulates in automated queues (n8n, Make, Kafka, or backend microservices).
The Solution: System 1 Non-Generative AI
To solve this, I built Laya AI Decision Gateway.
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).
β±οΈ Latency Benchmarks: Model vs. Public Gateway
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 β 70 ms | Direct TLS 1.3 container edge transit. |
| RapidAPI Marketplace Gateway | ~750 ms β 1,200 ms | Real-world round-trip over RapidAPI public proxy (includes key validation, daily quota accounting, and international routing). |
π οΈ 6 Ready-to-Use Endpoints
Laya provides 6 dedicated decision endpoints:
-
POST /v1/triageβ Support Ticket Triage: Categorizes inquiries into departments (billing,technical,account), grades urgency (0β2), and flags churn risks. -
POST /v1/guardβ Prompt Injection Firewall: A sub-30ms security perimeter that detects jailbreaks and system prompt overrides before hitting expensive LLMs. -
POST /v1/filter/spamβ Spam & Phishing Filter: High-precision binary classifier distinguishing real inquiries from commercial junk. -
POST /v1/sentimentβ Sentiment & Frustration: Evaluates tone alongside a customer anger intensity score. -
POST /v1/moderateβ Content Moderation Gate: Zero-shot multi-label safety filter for toxic and harmful content. -
POST /v1/decideβ Universal Decision Engine: Evaluates arbitrary custom choices, scores, or boolean questions on any payload.
Quick cURL Example (/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."
}'
Response (< 35ms model pass):
{
"department": "billing",
"urgency_level": "critical",
"is_churn_risk": true,
"recommended_priority": "critical",
"latency_ms": 28.4
}
π Zero Data Retention
Privacy is first-class:
- Ephemeral RAM Only: Payloads are loaded into memory strictly for inference calculation and discarded immediately upon response dispatch.
- Zero Logging: We never log, store, or train on your customer text.
- In-Transit Security: Full TLS 1.3 encryption across all communication routes.
π Free Tier for Developers
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:
- π Interactive Portal & Live Demos: https://laya.harshad.eu.org
- π‘ Live 24/7 Uptime Dashboard: https://uptime.harshad.eu.org/status/laya
- π GitHub Documentation: https://github.com/harshad-jadav/laya-decision-gateway
- π Get Free API Key on RapidAPI: Laya AI Decision Engine
I would love to get your thoughts! What endpoints or workflow integrations (e.g. native n8n community nodes) would you like to see next?
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