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About Panel Review

Clara AI Deep Dive with Clara AI

Panel Review by TruVerifAI is the guardian agent for AI's highest-stakes coding decisions. Before an agent's riskiest designs, diffs, or commits ship, four frontier models, from OpenAI, Anthropic, Google, and xAI, argue them through and return severity-tagged findings, with review gates the agent cannot silently skip. A single model reviewer can share blind spots with the model that wrote the code, including a documented tendency to rate its own family's output more favorably. Four independently trained models don't share those specific gaps: on hard review cases, different models catch different failure classes, and no single model produces the complete findings set. Panel Review's consensus mechanism finds where the models genuinely disagree and makes them argue it through: cross-examination, not polling, so the strongest argument survives instead of the disagreement getting averaged away. That is what makes it useful inside the agent loop: it catches blind spots before the write and before the commit, not after a PR is open. In ten weeks of live production use building this product, 46% of audits surfaced at least one critical or major issue and 66% of acted-on review calls changed the agent's decision, including a prompt injection hole caught one commit from production. The client is open source with zero runtime dependencies, so you can npm pack and read every line before installing: no build step and no transitive supply chain, MIT licensed.

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Screenshots & Videos

Panel Review Overview
Gate blocking Agent
Panel finding critical flaw
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Pricing

SW Score Breakdown The SW Score breakdown shows individual score for product features.Read more

  • Features The Feature Score % is calculated using the weighted average method, where core features hold more weight in the final calculation. Read more
    68%
  • Reviews
    60%
  • Momentum
    60%
  • Popularity
    60%

Platforms Supported

  • Browser Based (Cloud)

Organization Types Supported

  • Medium Business
  • Freelancers
  • Individuals

API Support

  • Available

Modes of Support

  • Business Hours

Panel Review Features

AI Code Generators Features

  • Features: The Feature Score % is calculated using the weighted average method, where core features hold more weight in the final calculation. Read more
    68%

Natural Language to Code

Converts written prompts into working code snippets

Context-Aware Code

Understands surrounding code, libraries, and comments to generate relevant suggestions

Documentation Assitance

Automatically generates docstrings and function comments

Code Linting

Ensures generated code adheres to language syntax and style guidelines.

IDE Integration

Integrates natively with IDEs like VS Code, JetBrains, or IntelliJ

Error Logs

Track failures with detailed error logs

AI Copilot

An AI-powered virtual assistant that accomplishes tasks and pursues goals on a user's behalf.

Security and Privacy Compliance

Ensures accessibility solutions comply with GDPR, HIPAA, and SOC 2 standards.

Multi Programming Languages

Supports multiple programming languages like Java, PHP, etc.

Code Completion

Autocompletes the code syntaxes to facilitate an error-free and user-friendly coding

Collaboration Tools

Interactive tools meant to make the application highly collaborative and encourage teamwork

Version Control

It gives the team the ability to recall specific versions of a document, code, content, file, or folder that records changes over time.

No-Code Development Platforms Features

AI-Assisted Development

Suggests logic nodes to smartly create the workflow of apps

Debugging

An integral part in appplication development that locates and corrects code errors in a computer program

Code Assistance

A feature that analyzes the first few character typed and provides you with a list of possible endings

Application Templates

It provides an automated or pre-built pattern that helps to build and design an app quickly.

Integrations Management

An endpoint to seamlessly manage external integrations, data sources, and other platforms

Extension Programming

Facility to add more programming code to extend the capabilities and functionalities of the app

App Integrations

Allows integrations with third-party tools like Google Drive and Salesforce

Machine Learning

An intelligent automation process that allows a bot to imitate or predict behavior by learning from historical behavioral patterns.

Drag and drop Builder

Has a pick-and-drop visual interface for easier designing

Workflow Management

Helps in managing and ensuring smooth flow of the tasks assigned to a team or organization

Web Development

Provides you with tools to create web applications

Version Control

It gives the team the ability to recall specific versions of a document, code, content, file, or folder that records changes over time.

Testing Management

Helps you in managing, tracking and organizing all tests and reports in one place

Mobile Development

Develop applications for Android, iOS or Windows

Access Control

Defines application access to various users. Includes role-based system that controls options to be displayed to different users based on their role
Panel Review Pricing

Free Trial

Available

No Credit Card Required, Get Started for Free

Pricing Options

Freemium ( Limited Features )

Premium Plans ( Subscription )

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Panel Review Reviews

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Panel Review FAQs

What is Panel Review?

An in-loop panel review service for AI coding agents: four frontier models from four vendors argue over your agent's designs, diffs, and commits and return a structured verdict, with local review gates that block the riskiest writes and commits until a real review, or an explicit logged override, has happened.

How is this different from a PR review bot?

PR bots review pull requests after the code exists. Panel Review runs upstream, inside the agent loop, at decision time, and it's cross-vendor, so the reviewer doesn't share the author's blind spots. Keep your PR bot; risky diffs simply arrive already argued over.

Which agents does it work with?

Eight certified surfaces: Claude Code, Codex CLI, Cursor IDE and CLI, Copilot CLI, the VS Code agent, Gemini CLI, and Antigravity. Any other MCP client gets the tools plus a git pre-commit fallback gate.

Does TruVerifAI see or store my code?

A review sends only what your agent passes: the diff or the question, never your repo. Gate telemetry is hashes and labels, never source. Content persistence is on by default (a dashboard audit trail) and you can turn it off so nothing is stored but usage metadata, and we never train models on your code or content.

Can my agent bypass the gates?

Releases bind to server-issued receipts over the exact changed hunks; thirteen floor categories can't be skipped with a one-line reason; git commit --no-verify doesn't bypass the commit gate. Every exit is logged, and everything fails open on error, so the gate never blocks your work on its own failure.

Is it open source?

The client is. Everything that runs on your machine (the gates, the risk classifier and its signal table, all eight skills, and the npx installer) is MIT-licensed with zero runtime dependencies, published with provenance attestations, and readable in the public repo at github.com/TruVerifAI/init before you trust it with anything. The hosted panel service is not open source.

How long does setup take?

Under a minute. One command, npx @truverifai/init, detects the agents on your machine, shows you a plan of everything it will write and asks once, signs you in through a browser (the CLI never sees a password), installs the gates, connects the review tools, and then proves a gate actually blocks. You're never locked in: gates off pauses every gate on your machine in one command, gates on re-arms them, logout disconnects your account, and uninstall removes everything it installed and revokes your API key on our server.

Does it actually change what agents ship?

In our own production telemetry building TruVerifAI with the gates armed (ten weeks, 479 review calls), 66% of reviews changed the agent's decision, 76% on security reviews, fewer than 1% of audits passed completely clean, and the panel escalated to a human 151 times.

What does it cost?

Pay per decision: actual consumption in credits plus a 0.5-credit platform fee. Around 1 credit for a quick check, ~2.5 for a full audit. With BYOK/BYOM you pay your provider directly and we charge only the platform fee. Start free with 50 credits.

What is Panel Review used for?

Panel Review is AI Code Generators. Panel Review offers the following functionalities:

  • Natural Language to Code
  • Context-Aware Code

Learn more about Panel Review features.

Does Panel Review provide API?

Yes, Panel Review provides API.

Panel Review Contact

Vendor Details

Founded : 2026

Contact Details

Not available

https://truverif.ai/panel-review

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SaaSworthy may receive compensation from some vendors featured on this page. This does not influence our editorial evaluation or ratings. [email protected]

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