Build your review workflow
Paste your content, configure settings, add custom review criteria, and see how Verified Workflows reviews it — instantly.
Add custom checks. Choose the input type reviewers will use to respond.
Configure your content and criteria,
then click Run sample review
Three steps to a verified review
No configuration files or deployment steps. Build and run a custom review workflow from the builder above in under a minute.
Paste your content
Drop in any AI output — generated text, code, a transcription, a translation, or OCR-extracted fields. The builder routes it to the right reviewer based on the content type you select, so there are no templates to set up.
Configure review criteria
Choose a content type, review depth, and turnaround speed. Then add custom criteria that define exactly what your reviewer checks. Each criterion uses a structured input type so responses are comparable across every review.
Get your review
A qualified reviewer checks your content against the criteria and returns structured annotations, a quality score, and a pass / corrections needed / fail verdict. Standard turnaround is 24 hours; express delivers in 1–4 hours.
Workflows you can build today
The same builder handles every content type. Here are common review workflows teams configure for their AI-generated output.
Fact-checking
Catch AI hallucinations, wrong dates, inverted figures, and fabricated citations before content ships. Reviewers verify claims against source material and flag unverifiable statements.
Audio QA
Validate transcripts and TTS output for misheard words, speaker mix-ups, and dropped segments. Reviewers listen against the source audio and correct word-level errors.
Translation validation
Beyond literal accuracy, native-speaker reviewers check tone, register, idiomatic phrasing, and domain terminology across every language pair.
Code review
Submit AI-generated functions and endpoints for senior-engineer review covering logic correctness, security vulnerabilities, and edge-case coverage before merge.
Seven input types for structured reviews
Every criterion maps to an input type that shapes how reviewers respond. Structured inputs mean you can aggregate, filter, and trend review data — not just read free-text notes.
Long text
Open-ended responses for reviewer comments, explanations, and suggested rewrites.
Multi-choice
Single-select options for classifications like accuracy level or overall verdict.
Rating (1–5)
Numeric quality scores with a star preview, ideal for fluency, clarity, or overall quality.
Checkboxes
Multi-select tags for issue categories — grammar, factual errors, tone, hallucination.
Dropdown
Compact single-select for confidence level, severity, or category when there are many options.
Yes / No
Binary decisions for pass/fail checks and gating questions that branch the workflow.
Number
Numeric counts such as error count, word count, or confidence percentage.
Ship a review workflow that actually matches how your team scores work
Define your rubric, feed in source material, and get back scored, annotated reviews — every prompt, every criterion, fully reproducible. No prompts to write, no JSON to wrangle.