fbmhdl designs assistants as operational systems: connected to your real data, watched by evals, and ready for human escalation when the answer matters.
Cluster real support journeys before writing prompts, so the assistant knows when to answer, act, or step aside.
API calls are explicit, audited, and scoped by role. No mystery agent wandering across production systems.
Golden conversations, regression checks, and failure reviews become part of the build from week one.
Escalation is designed as a first-class path, with context bundled for the person taking over.
The strongest assistant is usually a set of small, boring, reliable decisions: identify the user, retrieve the right source, call the right tool, explain uncertainty, and preserve the audit trail.
Short brief is fine. We reply within one working day with fit, next steps, and any risks we can already see.