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Benchmarks tell only part of the story. Fugu’s real value shows up in long, messy, real-world workflows. During our beta with 500 users, we saw Fugu Ultra drive meaningful progress in fully automated tasks from data science to complete cybersecurity assessments. Our early users saw Fugu explore, interpret failures, and sustain progress with almost zero human intervention. The feedback has been incredible. Here is what they are saying:
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"ext_alt_text": "SWE:\nFor code review, Fugu Ultra is significantly better than GPT5.5. It gives comprehensive answers and finds the bugs others miss. Where other tools flag about three issues, Fugu surfaced more than twenty. It's become the model I run all my reviews through.\n\nIndustry Researcher:\nI was mapping a patent landscape across 20 papers and several patents, normally 3-4 days of work. With Fugu I had a full analysis in a few hours, including connections between papers I would never have spotted on my own.\n\nEnterprise:\nRaw output quality is on par with top frontier models, but Fugu showed unusually strong persona stability across long sessions, holding its identity where other models drift. For agent products, that may matter more than raw benchmark scores.\n\nSecurity Engineer:\nGiven one scoped instruction, Fugu drove a full security assessment end-to-end—recon, XSS/SQLi checks, auth review, and a clean report with evidence and retest steps—staying inside scope and avoiding destructive actions.",
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