GPT OpenAI
Fast general reasoning for first-pass answers and broad synthesis.
One question Multiple AI arguments One clear verdict
omnicall sends your prompt to several AI models, turns their answers into anonymous exhibits, and uses AI judges to debate the reasoning before a Supreme Judge delivers a final verdict with confidence, evidence, and a clear winner.
Claude Anthropic
Careful long-form judgment for nuanced arguments and tradeoffs.
Gemini Google
Broad multimodal reasoning for plans, comparisons, and creative synthesis.
Perplexity Sonar
Research-heavy answers that help surface sources and context.
Kimi MoonshotAI
Long-context reasoning for coding, research, and agentic comparisons.
Grok xAI
A sharper counterpoint for challenging assumptions in the panel.
Meta Llama
Open-weight perspective for comparing structure, clarity, and bias.
12,000+
Arenas run
11
Chat answer models
12
Judge models
10
Super Judge options
GPT
Claude
Gemini
Grok
Perplexity
Meta
DeepSeek
MoonshotAI
Qwen
The problem
You can't trust one AI to give you the full picture.
Every AI model has biases, blind spots, and knowledge gaps. When you rely on just one, you get one perspective — dressed up as truth.
The real insight lives in the disagreement. omnicall surfaces it.
Model bias you can't see
Each model has subtle tendencies baked into training. You can't tell which answer is skewed without comparing them all.
High-stakes decisions, low confidence
For real decisions — strategy, research, pricing, career moves — one AI response isn't enough to act on confidently.
Copy-pasting across tabs wastes time
Manually querying ChatGPT, then Claude, then Gemini — then trying to compare them yourself — is slow and error-prone.
No structured deliberation
You get raw answers but no systematic way to evaluate quality, spot contradictions, or synthesize the truth.
The pipeline
A structured deliberation system,
not just a comparison tool.
Every arena runs through a standard verdict pipeline, with optional Debate Mode when you want judges to challenge each other before the final answer.
01
Submit
One prompt, sent everywhere
Your question goes to multiple models simultaneously. Same prompt, different minds, in parallel.
02
Anonymise
Answers become anonymous exhibits
Responses are stripped of model identity. Exhibit A through E — judged on content alone, never by reputation.
03
Judge
Expert AI judges deliberate
1–3 powerful reasoning models analyze all exhibits independently, scoring accuracy, depth, and usefulness.
04
Debate
Judges can challenge each other
Turn on Debate Mode to add one response round where judges read the other reviews, defend or revise their ranking, and update confidence.
05
Verdict
The Supreme Judge decides
One final arbiter synthesizes the blind reviews, optional debate, and final judge positions into a structured verdict with consensus, reasoning, and confidence.
Our Method
Clearer verdicts start with stronger structure.
omnicall is built to produce clearer, more balanced verdicts by moving beyond the limits of a single AI model. Instead of relying on one model's training data, assumptions, or built-in biases, we use a structured multi-model process where AIs debate, challenge, and evaluate each other's reasoning. By focusing on the strength of the argument rather than the identity of the model, our system creates a more transparent path toward fair, well-tested final decisions.
Blind review
Bias rules
Judge debate
Final verdict
01
Anonymous exhibits
Each model's answer is stripped of identity and presented as an exhibit, so judges evaluate the reasoning itself instead of the name or reputation behind it.
Identity removed02
Multiple AI judges
Several judge models review the same exhibits independently, bringing different reasoning styles to the decision and reducing the chance that one model's bias controls the outcome.
Independent review03
Strict bias rules
Every round follows rules that push judges to score evidence, logic, completeness, and usefulness instead of model style, confidence, familiarity, or unsupported assumptions.
Reasoning over reputation04
Structured debate
When debate is enabled, judges can challenge weak reasoning, defend stronger arguments, revise their rankings, and make their disagreements visible before the final decision.
Arguments tested05
Supreme Judge verdict
The Supreme Judge reviews the exhibits, judge decisions, debate round, and confidence levels, then synthesizes them into one clear final verdict with the strongest reasoning surfaced.
Final arbitrationExample Verdict
A solo founder asks: “Which idea should I build first?”
The same arena pipeline shown step by step: selected models answer, identities become exhibits, judges debate, and Opus 4.8 writes the final call.
Prompt
I’m a solo founder with limited time. Which startup idea should I validate first? 1, Security tool that scans AI-generated code before it ships. 2, Dashboard that helps online communities detect churn risk.
01 Models chosen
Answer models
GPT-5
OpenAI
Claude Sonnet 4.5
Anthropic
Perplexity Sonar Pro
Perplexity
Kimi K2
MoonshotAI
02 Model answers
Shown side by sideValidate the security tool first. AI-generated code is reaching production faster than review habits, and secrets, auth gaps, and unsafe queries create immediate downside.
Choose the security tool. The churn dashboard may monetize, but platform data access and noisy retention signals make it slower to prove for a solo founder.
The timing favors AI-code security. Cursor, Claude Code, and Windsurf users are shipping more generated code, so a focused scanner has a clearer buyer conversation.
Start narrow: detect exposed secrets, missing auth, unsafe database queries, and hardcoded API keys. That MVP can be tested directly on real repositories.
03 Answers become exhibits
Model names hidden
Exhibit A
Recommends idea 1 because security risk is urgent, concrete, and painful enough for engineering teams to notice before launch.
Exhibit B
Recommends idea 1 with the strongest market timing argument: AI coding tools are increasing code volume before review quality catches up.
Exhibit C
Leans toward idea 1, while noting the churn dashboard could monetize if community platforms provide reliable access to activity data.
Exhibit D
Recommends idea 1 with a practical MVP: scan generated code for exposed secrets, missing auth, unsafe queries, and risky defaults.
04 Judge panel
Blind reviewRanks Exhibit B first. It connects urgent pain, market timing, and a buyer who already understands the cost of a security miss.
Ranks Exhibit A first. An engineering lead can justify paying to catch exposed secrets or missing auth before production.
Ranks Exhibit D first. The MVP is small enough to build, demo, and validate with AI-heavy developers in days instead of months.
05 Debate round
Round 1
Skeptical VC
Exhibit C is right that churn analytics may sell, but the platform dependency is a trap. The security idea has a buyer, a trigger event, and a clearer wedge.
Paying Customer
I am moving from Exhibit A to Exhibit D. The winner should not just name the pain; it should show the first test a developer would actually try.
Execution Realist
Agree. Build the smallest scanner, run it on generated code, and ask whether teams would block a pull request when it catches secrets or missing auth.
Build the AI-generated code security tool first.
Why it won: The security tool has the sharper pain, clearer technical buyer, faster demo, and better timing. The churn dashboard may monetize, but it depends on platform access and cleaner data than a solo founder can guarantee early.
Recommended next step: Validate with 10 AI-heavy developers using Cursor, Claude Code, and Windsurf. Show a simple scanner for exposed secrets, missing auth, unsafe database queries, and hardcoded API keys; ask which alert they would pay to prevent before shipping.
Built for serious thinkers
Everything you need for
better AI decisions.
From the prompt input to the final verdict, every step is designed to maximize insight quality.
Strict anonymisation
Model identities are never shown to judges. No reputation bias. Evaluations are based purely on answer quality.
Blind evaluationMulti-layer judgment
Up to 3 independent judge models, each with expert system prompts. Then a Supreme Judge synthesizes the panel.
Up to 3 + 1 judgesDebate Mode
When the decision needs extra pressure, judges can read each other's blind reviews and respond once before the final verdict.
Optional judge debateStructured verdicts
Every final answer includes a consensus summary, traceable reasoning chain, and a 0–100% confidence score.
With confidence scoreArena history
Every session is saved to your account. Review past verdicts, compare runs, and build a knowledge base over time.
Private historyCustom panels
Customize answer models, judge personas, judge instructions, and the Super Judge. Save presets for repeat workflows.
Fully configurableFrontier Super Judges
Custom panels can choose super-powerful final arbiters like Opus 4.8, GPT-5.5, and Gemini 3.1 Pro Preview.
Custom final arbiterTrust & Privacy
Built for decisions you would not paste just anywhere.
omnicall is designed for sensitive questions: business ideas, research, career moves, product strategy, and personal decisions. That means privacy is part of the product, not a footnote.
Your arenas are private by default, public sharing is a choice, and you can request account or data deletion through support. The verdict is meant to support your judgment instead of replacing it.
01
Private by default
Your prompts, exhibits, judgments, debates, and verdicts are saved to your account history so you can revisit them. They are not public unless you choose to create a public share link.
02
Not used for training
omnicall does not use your prompts for model training. They are processed to run the arena workflow and generate the model answers, judge reviews, debate, and final verdict.
03
Service providers only
omnicall works with trusted services to support sign-in, payments, saved history, and AI responses. We do not sell personal data.
04
Public sharing is opt-in
If you create a public verdict link, that shared page can show the verdict process, owner label, comments, and reactions. You can remove public links anytime.
05
Bias controls are visible
Model identities are hidden from judges as anonymous exhibits, and bias rules push reviews toward evidence, logic, and usefulness rather than model reputation or writing style.
06
Decision support, not authority
AI outputs can be wrong, incomplete, or biased. omnicall gives you structured reasoning and confidence signals, but you stay responsible for reviewing the result before acting.
Plain version: use omnicall for clearer thinking, not blind trust. The system makes the reasoning easier to inspect, challenge, and compare.
Use cases
Use omnicall when you need confidence before you act.
Pick a situation that sounds like yours.
“Should I pivot my offer or double down on the current market?”
“Which pricing model makes more sense — usage-based or flat subscription?”
“Should I raise funding now or stay bootstrapped?”
“Is this market big enough to build a startup around?”
“Should I hire a generalist or two specialists first?”
“Which co-founder offer should I accept?”
“Should I launch now or wait for the product to be more polished?”
“Should I build feature A or feature B next quarter?”
“Which onboarding flow creates less friction?”
“Is this UX change worth the team effort?”
“Should we go B2B or B2C with this product?”
“Which landing page copy converts better — pain-led or outcome-led?”
“Which ad angle should I test first?”
“Should I focus on SEO or paid acquisition at this stage?”
“Which email subject line will get more opens?”
“Is this brand positioning strong enough or too generic?”
“Should I launch on Product Hunt or build an audience first?”
“Should I take the promotion or join the startup?”
“Is it too early to go freelance full-time?”
“Which offer is better — higher salary or more equity?”
“Should I specialize deeper or become more of a generalist?”
“Is getting this MBA actually worth it for my goals?”
“Should I learn copywriting or sales first given my goal?”
“Which of these three books will actually move the needle for me?”
“Is this research paper credible or missing key counterarguments?”
“Which online course is worth paying for vs watching free content?”
“Should I move to a new city for this opportunity?”
“Is this investment risk worth taking right now?”
“Should I end this business partnership?”
“Which therapist approach suits my situation better?”
“Which project move should I make first?”
“Which tool or workflow will save the most time?”
“Why is this project stuck and what should I fix first?”
“Which version of my idea is simplest to launch?”
Simple pricing
Pick your tier.
Run better arenas.
From a $0 trial to $99 frontier consensus - pick the smallest plan that fits your decisions.
Free
$0/mo
See if it works for me
✓
250 monthly credits✓
Up to 2 answer models✓
Up to 1 judges✓
5,000 attachment characters✓
2 fast answer models and 1 judge✓
1 saved panel preset✓
5K-character attachment analysisLite
$19/mo
Use it weekly for my own decisions
✓
1,800 monthly credits✓
Up to 4 answer models✓
Up to 3 judges✓
20,000 attachment characters✓
3-judge panels with editable judge personas✓
3 frontier super-judge verdicts each month with Opus 4.8 and GPT-5.5✓
20K-character attachments and post writerMost popular
Pro
$49/mo
My default for important calls
✓
5,500 monthly credits✓
Up to 6 answer models✓
Up to 3 judges✓
60,000 attachment characters✓
Opus 4.8 super-judge verdicts by default, with GPT-5.5 available✓
1-round debate and full prompt control✓
2 active arenas at onceMax
$99/mo
I run this thing seriously
✓
14,000 monthly credits✓
Up to 11 answer models✓
Up to 5 judges✓
250,000 attachment characters✓
5-judge panels and 2-round debate✓
250K-character document analysis✓
Multi-frontier consensus verdicts with Opus 4.8 and GPT-5.5Frequently Asked Questions
Answers to the questions people usually ask before running their first arena.
No — that's the core design. All responses are anonymised as Exhibit A, B, C etc. before judges see them. This eliminates reputation bias and forces evaluation on merit alone.
You're getting structured deliberation, not one opinion. Multiple models answer, independent judges evaluate, optional Debate Mode lets judges respond to each other, and a Supreme Judge synthesizes the result.
The answer step uses the curated chat model set available in omnicall, while customization lets you tune the panel and Super Judge separately. The landing stats above stay current with the available model lineup.
Judge panels use a separate judge model pool, while Super Judge customization includes frontier final arbiters such as Opus 4.8, GPT-5.5, and Gemini 3.1 Pro Preview.
Yes. The Customize panel lets you adjust answer models, judge personas, judge instructions, Super Judge model, and saved presets. Debate Mode can be toggled before judging starts.
Your prompts and arena results are kept private and protected. Only you can access your saved arenas, and your prompts are never used for model training.
Contestant responses come back in parallel. Judging adds another pass, and Debate Mode adds one optional judge-response round before the Super Judge writes the verdict.
Stop guessing
Your best AI answer
is rarely the first one.
Run your next important question through omnicall. See what you've been missing.