Build AI with confidence

Tools to validate your AI ideas and measure what actually matters—before you commit months of engineering time.

Risk Validation Evaluation Metrics Free Guides

Tool #1

AI Idea Validator

Before you build, understand your risks. This tool analyzes your AI idea across 6 critical categories and surfaces the hidden blockers that cause 85% of AI projects to fail.

5-minute assessment with targeted questions

Risk scoring across data, accuracy, security, operations

Actionable recommendations to mitigate each risk

Validate your AI idea

Do you have enough quality data?

Many AI projects fail because teams assume data exists when it doesn't, or it's too messy to use.

Risk Levelhigh

This area needs attention before proceeding.

Aggregate Quality Score

Factual Accuracy(40% weight)

Is the response correct?

Response Quality(30% weight)

Is it clear and helpful?

Safety & Compliance(20% weight)

Does it avoid harmful content?

Latency(10% weight)

Is it fast enough?

Score = Σ (metric × weight) → 82×0.4 + 75×0.3 + 94×0.2 + 88×0.1

Tool #2

Evaluation Strategy Builder

Define what "good" looks like before you ship. This tool helps you create weighted evaluation metrics that automatically tell you if your AI solution is working—or getting worse.

Break vague goals into testable metrics

Assign weights based on business priority

Export rubrics for automated LLM-as-judge testing

Build your eval strategy

Problems We Solve

Sound familiar?

These are the questions that lead to wasted budgets and failed projects. We built tools to answer them before you commit.

"We want to add AI but don't know if it's worth it"

The AI Idea Validator analyzes your use case, data availability, and risk factors in 5 minutes.

Try the Validator

"Our AI feature works in demo but fails in production"

Define clear evaluation metrics before you build. Track accuracy, safety, and reliability systematically.

Build Eval Strategy

"Vendor promises 95% accuracy but can't prove it"

Use our scoring rubrics to verify real engineering depth before signing contracts.

Read the Guide

"We don't know how to measure AI success"

Break down vague goals into specific, testable metrics that your team can actually measure.

Define Metrics

Built for teams who need clarity, not opinions

See how we support your team at every step of the AI development journey.

CTOs & Engineering Leaders

Requirements gathering drains weeks
Risks hide until it's expensive
PoCs lack clear validation criteria

Structured requirements in hours
Risks surfaced upfront
PoC criteria defined before you build

Ready to validate your AI idea?

Take the 5-minute assessment to identify hidden risks. Or define your evaluation strategy to measure what matters.

Validate an AI idea

Build eval metrics

Or explore our free resources and guides