Debate TelloDB
Debate TelloDB is a multi-LLM peer review platform that lets users submit a prompt and have a panel of frontier AI models debate it using structured protocols. Instead of relying on a single model’s answer, the user selects a debate format—such as Refinement, Devil’s Advocate, Oxford Union, Socratic, Red Team, Delphi, or Steelman—and the system orchestrates multiple models to argue, critique, and converge. An independent judge scores agreement across rounds, and a designated chairman model writes the final verdict, preserving any dissenting views. The output is a scorable, exportable document with confidence ratings per claim. The platform runs as a cloud service with a web interface where users can start debates, choose formats, and review turn-by-turn replays. It is designed for high-stakes questions where a single model’s confidence might be misleading. Debates are conducted with leading LLMs such as GPT-5.5, Claude Opus, and Gemini Pro, though the exact set may evolve. The service offers a free tier, with per-debate pricing based on token usage and models involved. Debate formats are tailored to specific needs: Refinement for iterative improvement, Devil’s Advocate for stress-testing, Oxford Union for formal pro/con verdicts, and others for security audits, bias detection, and adversarial testing. This makes the tool suitable for research, product development, policy analysis, and content creation where robustness and multi-perspective reasoning are critical.
- Category
- Apis
- Pricing
- Free
Problem solved
Single-model AI answers often lack robustness, confidence calibration, and consideration of alternative viewpoints. Debate TelloDB addresses this by orchestrating a structured debate among multiple LLMs, producing a consensus verdict with scored agreement and preserved dissent, so users get a more trustworthy, battle-tested output for high-stakes decisions.
Use cases
- Refine a controversial research thesis by having multiple models critique and improve it.
- Stress-test technical proposals or RFCs with adversarial review to surface flaws.
- Conduct a security audit of code or design specs using red-team debate.
- Generate balanced, well-argued briefs for policy or business presentations.
- Detect anchoring bias in model reasoning by comparing silent and revealed rounds.
- Produce a reliable consensus answer for queries where truth is not obvious.
Audience
- Developers
- ML Engineers
- Data Scientists
- Product Managers
- Researchers
Pros
- Multi-model consensus improves answer reliability and confidence calibration.
- Seven specialized debate formats address different use cases from refinement to adversarial testing.
- Chairman synthesizes a single verdict with scored agreement, making results actionable.
- Dissent and turn-by-turn replay ensure transparency in how the verdict was reached.
- Time-efficient way to get peer-reviewed answers without manual coordination.
Cons
- Quality heavily depends on the underlying LLMs' capabilities and availability.
- Per-debate token costs can add up for complex or multi-round sessions.
- No self-hosted option; relies on the cloud service and its uptime.
- Limited customization of judging criteria and chairman instructions.
- Currently no public API for programmatic debate orchestration.
Official website: https://debate.tellodb.com/
Canonical LambdaBase page: https://www.lambdabase.com/tools/debate-tellodb