Hermes and Claw generate deep-dive research reports, implementation blueprints, and polished HTML guides — each shaped by verified facts and structured reasoning, not generic templates.
Every piece of content starts with a question: what does the reader actually need to do next? Hermes and Claw don't fill templates — they think through the problem, verify facts against live sources, and structure output that serves the goal.
Research reports cite sources. Implementation plans are executable. HTML guides are designed to be read — not just glanced at.
The agents run on local LLMs with bounded reasoning loops, persistent session memory, and a clear separation between fast-path classification and deep reasoning.