Our story
Timeline
We started huAgents with a simple frustration: most “agents” look great in demos, then fall
apart in production.
Real systems have permissions, messy data, edge cases, and humans who need audit trails.
If automation is going to run in your tools, it has to be built like production software.
Problem
Agents break when stakes are real
Without boundaries and safe defaults, agents create risk and extra work instead of
leverage.
Decision
Curate workflows, not vibes
We focus on vetted workflows with explicit scope, predictable outputs, and clear
failure modes.
Approach
Guardrails + observability
Approvals for risky actions, logs for every run, and metrics that prove real
outcomes.
Today
Ship outcomes, then scale safely
Start small, measure impact, and expand automation with confidence—without black
boxes.
What we build
Product
huAgents is built around practical workflows. Each agent has a job description, expected
inputs/outputs,
and boundaries that prevent “creative” mistakes.