LLM Flow Designer vs Referee.chat
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
LLM Flow Designer compared with Referee.chat
| Detail | 
LLM Flow Designer | 
Referee.chat |
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| What it does | Visual builder for deterministic AI agent networks
| An AI panel debates your goal; a referee rules on re-checkable evidence
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Pay-what-you-think pricing during soft launch with a minimum of $5/month. 7-day money-back guarantee after activation.
| Free: $1.00 starting credit once. Credit plans from $10 top-up with no expiration. Your own key: 5% infrastructure fee after the first $5.00 of usage.
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| Key features | - Real-time execution tracking with token cost monitoring
- PDF rasterization and chunking for image-based PDFs
- Dynamic document loading from Google Drive, APIs, and MCP sources
- Quorum-based consensus verification for field extraction
- Loop patterns for iterating over LLM list elements
- Field-level context mapping between nodes
- Self-hosted execution with customer API keys
- Encrypted credential management for Drive, REST, URLs, and MCP
- Non-technical user interface for prompt and flow editing
| - Panel of up to six AI models from different vendors
- Referee rules on re-checkable evidence only
- Searches academic databases: arXiv, OpenAlex, Crossref, Europe PMC
- Executes Python code to verify claims
- Customizable acceptance standards
- Matches pause and resume without losing work
- Shared ledger prevents re-derivation
- Spending limit per match
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| What makes it different | - Precise control over agent paths without code-first framework overhead
- Field-level context injection instead of dumping all data into prompts
- Live control and inspection without redeployment cycles
- Compliance-ready with self-hosted execution and customer-controlled keys
- Purpose-built for PDF pipelines and document extraction workflows
| - Referee decides on evidence, not argument quality
- Panel from different vendors fails in different directions
- Stuck is a targeted question, not model thrashing
- Cost grows with ledger, not round count
- Published matches become research record
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 4 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 16 | 0 |
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| Citation Flow (Majestic) | 27 | 13 |
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| Referring domains (Majestic) | 188 | 31 |
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5 details filled in for both companies.
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