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OpenRouter lists Hunter Alpha as a 1T-parameter model with a 1,048,576-token context. Prompts and completions are logged - read how this affects cost, privacy, and operations.
ClawGuard’s AdNet injects sponsored prompts and multimodal assets into AI agents' context windows, claiming 47% agent-action; read practical risks, validation steps, and a checklist.
Agentic workflows and prompt coercion are the new attack surface. This tutorial shows a concrete, deployable boundary strategy (policy engine + sandbox + attested channels) to reduce agentic compromise risk — with configs, code, metrics and a founder cost/risk frame.