Most deep-research reports are single-use and disposable, making the process slow, expensive, and wasteful. TESRAC changes that by treating completed research as a reusable, shareable artifact. It searches existing reports first. When fresh research is needed, we run research and adversarial agents in parallel, and a synthesis pass produces a structured report. Reports are saved, shareable, and discoverable. They also preserve their research context, so anyone can ask follow-up questions.
Software EngineeringArtificial IntelligenceTech



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August 5, 2026
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