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LearnCoding Online

Documentation

Everything you need to benchmark, guard, and certify your AI models. Start with the quick start guide or jump to a specific section.

Getting Started

01

Create an account

Sign up for free no credit card required. You receive 50 benchmark runs per month immediately.

02

Connect your models

Add API keys for OpenAI, Anthropic, Google, or any OpenRouter-compatible model on the Integrations page.

ExploreAI Tools

03

Define guardrail policies

Set system instructions, forbidden keywords, and expected output formats in the Guardrails section.

04

Run a benchmark

Select models, write a test prompt, and launch. Results are stored and tracked over time automatically.

05

Build your trust matrix

After 1,000 consistent, violation-free runs, your model earns a liwaiwai labs Reliability Certificate.

Benchmarking

// example: launch a benchmark run

POST /api/benchmark/run

DiscoverProductivity Apps

{
  "models": ["openai/gpt-4o", "anthropic/claude-3-5-sonnet"],
  "prompt": "Summarise the following contract clause...",
  "iterations": 100,
  "guardrail_policy_id": "policy_abc123"
}

Benchmark runs execute your prompt against all selected models concurrently. Each result is stored with latency, token counts, and guardrail pass/fail status. Schedule recurring runs to track consistency longitudinally.

Guardrails

Keyword rules

TrackBusiness News

Block or flag responses containing forbidden terms legal, clinical, or sensitive language.

Format rules

Require JSON, markdown, or structured output. Flag any response that does not conform.

Semantic rules

Embedding-based checks to catch off-topic, hallucinated, or misaligned responses.

Full API reference and SDK documentation coming soon.

The platform is open. Start exploring immediately.

Open the platform