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Eliminate AI Output Botsitting

Automate validation and batch-testing of AI outputs. Catch quality issues, biases, and errors before they reach your customers. No more manual review loops.

Start Automating

Workers Are Drowning in Validation Work

The Botsitting Crisis

Teams deploying AI agents and LLM pipelines face a hidden tax: someone has to manually review outputs before they ship. Not all validation can be automated. What can be must be.

6+ hours
per week spent on manual output review
40%
of QA bandwidth goes to AI output validation

Without systematic validation, edge cases slip through. Biases persist. Errors compound. Your LLM looks brilliant until it catastrophically fails on production data.

Automated Batch Validation, Done Right

✓

Batch Testing

Test hundreds or thousands of outputs at once. Catch patterns and edge cases that manual review misses.

∞

Configurable Rules

Define what "valid" means for your domain. Latency, hallucination detection, format validation, semantic checks.

⚡

Zero Setup

Drop in a URL or provide outputs. Get a report. No infrastructure to manage, no custom code required.

Four Steps to Validation Velocity

1

Ingest

Feed outputs from your LLM pipeline, API, or batch job.

2

Validate

Run against your custom rules in parallel.

3

Analyze

Get a detailed report with pass/fail per output.

4

Iterate

Ship good outputs. Flag issues for manual review.

Built for Operations Teams

✓

Real-time Monitoring

Dashboard shows pass/fail rates and trends. Alerts when validation thresholds drop.

✓

Custom Validators

Write Python rules or use built-in checks. Semantic similarity, length, format, toxicity.

✓

Audit Trail

See exactly which outputs passed, which failed, and why. Full traceability for compliance.

✓

Cost Aware

Track cost of validation against API spend. Batch efficiently. Pay for what matters.

✓

API First

Integrate with your pipeline via REST or SDK. Minimal code changes.

✓

Scale to Millions

Validate millions of outputs per day. Latency matters. We optimize for speed.

Who Uses This

Customer Service AI

Validate chatbot responses before they reach customers. Catch tone issues, off-topic tangents, and policy violations.

Content Generation

Batch-test generated blog posts, social content, or emails. Ensure consistency and brand voice across thousands of outputs.

Data Processing

Validate AI-extracted data from documents, images, or PDFs. Catch parsing errors before they poison your database.

Recommendation Engines

Test recommendation quality and diversity before deployment. Avoid filter bubbles and low-quality suggestions at scale.

Code Generation

Validate generated code for syntax, style, and logical correctness. Reduce manual review burden on engineers.

Quality Assurance

Systematize your validation rules. Make QA reproducible, measurable, and fast.

Stop Botsitting. Start Shipping.

Get your validation pipeline set up in minutes. No credit card required.

Get Started Free

Built by Wishdeal Studio. 2026.

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