Iterative Consensus Ensemble

Multiple AI models refine their answers through feedback and debate. Instead of trusting one model's output, ICE runs several models through iterative rounds where they critique each other's reasoning and converge on a consensus solution.

Prompt first
No models selected

Critique System: Analyze documents using multiple AI models independently, then compare their critiques to identify consensus and unique insights. Particularly valuable for research, bias detection, and comprehensive document analysis.
📊 Benchmarks: Standard Critique → Document Analysis →

More AI Models & Features Coming Soon!

We're constantly expanding our model lineup and adding new capabilities. Have a suggestion?

Your input helps shape the platform • We read every submission

Analyze an uploaded image with vision-language models. Production (prompt → image) is on Produce. Editing is not wired yet.

Platform Expanding - New Models Weekly!

Keyboard shortcuts: Ctrl+Enter to submit, Ctrl+/ to search models, Escape to clear input

Analyze images with VLMs, or Produce images from a prompt. Editing is not wired yet.

Request a model or feature • We listen to our users

Translation/audio local models are disabled in this CPU-only Groq build.

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Translation & Q&A Experts

These models specialize in multi-language translation and question answering. Perfect for translating documents, understanding foreign text, or getting precise answers to your questions across 200+ languages.

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Audio Analyzer
INCLUDED FREE

Upload meeting recordings, podcasts, or any audio for instant transcription and intelligent summarization. Ask questions about content, extract key points, or get action items—a feature others charge $26/month for!

🤖 AI Agents

Start with I want to… to land in the right app, then use the Activity trail to preview drafts and approve dry-run bridges. Open Automation Hub for connections and recurring agents, Marketing Employee for day-to-day GTM tools, Specialized agents hub for templates, and Universal workbench for extract/compare/cited briefs.

Agents that stay connected, run on a schedule, and move work across systems—not “ask a question, get an answer.”

Agents help
I want to…

Lanes: Hub (recurring/event), Research Library + SharePoint (debate/critique project docs), Desktop / AgentTasker (queued one-hitters), and Marketing paste tools.

Activity trail

What ran, what was drafted, and dry-run bridges waiting for Approve (live delivery). Preview · Replay · Approve.

Automation Hub

Connect business apps once, then run rule-based agents—each with its own profile, schedule, and reports—from one dashboard. Use Bridges for inter-agent communication (e.g.): when one app finishes (mail analyzed, digest ready, deal stale), another can post to Slack, draft email, or summarize with AI—dry-run by default until you go live. Mail, LinkedIn, X, Google Workspace, calendar, Slack, drive, HubSpot, and the new workplace automation agents (meeting actions, contract/vendor inbox, RFP drafts, pipeline hygiene, expense receipts) are live: connect OAuth per app, configure YAML, and run.

Need help? support@ifusionsoft.com

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Workplace automation agents

Five connected agents that stay on schedule and move work across systems—not one-off chat: Meeting → actions, Contract / vendor inbox, RFP / questionnaire, Pipeline hygiene, and Expense / receipt. Install the Workplace automation (top 5) industry pack in Automation Hub, or add instances one at a time.

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Marketing Employee

Decks, one-pagers, feature explainers, Microsoft 365 email analyst, LinkedIn posting plus organic campaign planning, meeting recaps, ROI worksheet, and campaign briefs—each tool opens inside the hub so setup footers and OAuth flows stay exactly where they were. The Specialized agents hub and Universal workbench below stay separate for their multi-flow workspaces.

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Specialized agents hub

Nine ready-made flows (security Q&A, launch checklist, account research, pricing drafts, and more)—each produces a page you can hand to sales or leadership.

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Universal workbench

Broader toolkit: compare documents, pull cited summaries, shape customer stories, plan integrations, and draft campaign variants—outputs you can pass around as a link.

ICE Debate · Week 1

NFL 2026 Picks

An ICE panel debates every Week 1 kickoff — Debate Lead, Film Room, Contrarian, and Closer — then ships a sporty PDF with logos, panel picks, and a clear winner call.

Stadium lights with ICE — Iterative Consensus Ensemble — NFL Week 1 Picks

Consensus strength is how much the ICE panel agrees on the same winner — the share that landed on the most-picked team after their final stance (e.g. 100% = lock / all agreed; 75% = lean; under 75% = toss-up). It measures panel agreement, not how likely the pick is to hit.

—Panel
—Locks
0Debates done
16Week 1 games
0Splits
Season board Last debated: — Est. ~5–8 min for a full run

Use only when something material changed since the last debate run — recent injuries, inactive lists, starter surprises, weather shifts, or other late news. A full rerun asks the models to factor those updates into fresh picks; flipped games show a change chip.

Panel and locks

Consensus winner vs 4–0 locks · Open season leaderboard

P PanelConsensus winner · 75% 12–4 75%
L Locks4–0 panel picks · 80% 8–2 80%
Loading Week 1 slate…