CleanSlop vs Sorcerer: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of CleanSlop and Sorcerer — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

CleanSlop

Freemium

Scans vibe-coded apps for launch-blocking issues like leaked keys and data exposure, and reports what to fix first, right from your coding agent.

Agent-Native Scanning: Tell Claude Code, Codex, Cursor or other agents to scan with CleanSlop and fix findings where you build.
System-Level Code Mapping: Maps routes, background jobs, data and external services so each finding follows a real call path.
Prioritized Reports: Findings grouped as needs attention, worth a look and minor, worst first.
Evidence for Every Finding: Shows where each issue lives in your code and why it was flagged.
Plain-English Fixes: Explains what is wrong, why it matters and what to do about it.
Copy for LLM: Hands any report to your AI tool so it can apply the fixes.
GitHub App Integration: Scan only the repositories you select, read-only access.
Expert Triage Calls: Book a 15-minute call with a CleanSlop engineer to walk through findings.

A solo founder checks a Next.js and Supabase app built with an AI coding assistant before launching.
A developer discovers an exposed AI API key bundled into browser code and moves it to a server route.
A side-project builder verifies that one user's data cannot be read by another through database policies.
A Claude Code user runs a scan from the terminal and has the agent fix the top findings.
A team lead gets a short prioritized list instead of hundreds of linter warnings.
An indie hacker books an expert triage call to confirm an ambiguous finding.

gbrasil720

Free

Native local-first macOS app that simulates communities of AI agents reacting to your 'what if' questions using your own AI subscriptions.

What-If Experiments: Write a hypothesis or start from a template and pick a setting such as social feed, forum, group chat, town square or workplace.
Fact-Tagged Briefs: Build a brief from a GitHub repo, folder, website or files, with each fact tagged public, insider or hidden.
Community Builder: Summon characters from your context or a description and edit roles and insiders before round one.
Live Rounds: Watch posts stream in with typing indicators, replies, reactions and moods, viewable as feed, world map or graph.
Fork and Intervene: Pause anytime, inject events, ask a character why, or fork the world at any round to compare futures.
Bring Your Own AI: Uses the Claude CLI, Codex CLI or local Ollama, with a model choice per role and usage-limit awareness.
Linked Reports: A summary report links every finding back to the supporting posts.

Pricing Reactions: Test how a community might react to a plan price change.
Message Testing: See how a headline or announcement lands in a simulated group chat.
Product Launch Rehearsal: Probe objections from insiders and outsiders before shipping.
Creative Worldbuilding: Explore story scenarios such as a dragon moving into a village.
Private Local Research: Run simulations with Ollama so data never leaves your Mac.