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#1 on DeepResearch Bench (Feb 2026). Any-to-Any AI for agents. Combines deep reasoning with all modalities through sophisticated multi-agent orchestration. Research, videos, images, audio, dashboards, presentations, spreadsheets, and more.
Passed 18 of 22 test cases with the skill, and 0 of 22 without it.
18 fixed0 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
The instructions your model reads when the skill loads.
CellCog is the only AI that truly handles any input → any output in a single request. No tool chaining. No orchestration complexity. One call, multiple deliverables.
CellCog pairs all modalities with frontier-level deep reasoning — as of Feb 2026, CellCog is #1 on the DeepResearch Bench: https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-Leaderboard
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Reference as many documents as you need—all at once:
prompt = """
Analyze all of these together:
<SHOW_FILE>/data/q4_earnings.pdf</SHOW_FILE>
<SHOW_FILE>/data/competitor_analysis.pdf</SHOW_FILE>
<SHOW_FILE>/data/market_research.xlsx</SHOW_FILE>
<SHOW_FILE>/recordings/customer_interview.mp3</SHOW_FILE>
<SHOW_FILE>/designs/product_mockup.png</SHOW_FILE>
Give me a comprehensive market positioning analysis based on all these inputs.
"""
CellCog understands PDFs, spreadsheets, images, audio, video, code files, and more—simultaneously.
Notice how file paths are absolute and enclosed inside <SHOW_FILE>. This is an important part of the CellCog interface.
Ask for completely different output types in ONE request:
prompt = """
Based on this quarterly sales data:
<SHOW_FILE>/data/sales_q4_2025.csv</SHOW_FILE>
Create ALL of the following:
test cases passed, vs 0 / 22 without
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