A new way to think about a voice agent
For years a voice agent was one long script. Every rule and objection packed into a single wall of text, with the agent trying to hold all of it at once. It works until it doesn’t. The more you add, the more each instruction gets buried, and the more the agent drifts. Skills flip that. The agent carries a set of small, focused plays and reaches for the right one exactly when the moment comes up. It’s closer to how a good rep actually works: they don’t recite everything they know on every call, they pull the right move when the call calls for it. Most teams building voice AI haven’t structured it this way yet.Why it makes calls more reliable
- Progressive disclosure. The agent sees the triggers, not the full text. It pulls one skill’s instructions the instant that moment lands and ignores the rest. More skills makes it sharper, not foggier.
- Fewer hallucinations. Each moment gets its own tight brief instead of being lost in a mega prompt, so there’s far less room to improvise.
- More deterministic. For the things that must be exactly right, do we cover this ZIP, transfer here, tag this lead, a tool runs real code and returns a fact instead of a guess.
- Always improvable. Every skill is a small thing you can watch, edit, and sharpen on its own. Your agent keeps getting more reliable because you tune specific plays, not a wall of text.
Two kinds of ability
Skills you write
Rules in plain English: when this comes up, do that. No code. Your judgment,
taught to the agent.
Tools we ship
Built abilities you add and configure, deterministic where it counts. A tool
checks a ZIP, transfers a call, tags a lead. You don’t build tools; we maintain
them so they work every call.
The tool library
The abilities we ship and how to set each one up.
Writing a skill
Teach the agent a play in plain English.
