Almost every AV AI agent launched in the last few years gets pitched the same way: hand the technical work to a machine, and stop thinking about it. That’s the autopilot pitch, and it’s a good one, because it’s simple and it sounds like relief.
We don’t build our AV AI agent that way. We think the difference is worth explaining, not just stating.
The Pitch We Didn’t Make
An autopilot, by definition, wants you out of the loop. Its whole value proposition is that you don’t have to pay attention, because the system is handling it. That’s a reasonable design for plenty of problems. For a live show, we think it’s the wrong one.
A live broadcast or event isn’t a single decision repeated identically every time. It’s hundreds of small judgment calls made under time pressure. Most of those calls depend on context a system can’t fully see: the mood of the room, a director’s instinct that something’s about to go wrong, the difference between “technically correct” and “actually right for this moment.” Removing the human from that loop doesn’t remove risk. It just removes the person best positioned to catch the risk the system can’t see coming.
So instead of an autopilot, our AV AI agent is built around what we call a Second Chair — a term borrowed from the actual role on a lot of crews. The second chair backs up the lead, handling what doesn’t need the lead’s judgment so the lead’s judgment stays free for what does.
What “Human-in-the-Loop” Means for an AV AI Agent
For us, human-in-the-loop design isn’t a tagline on the About page. It shows up as specific decisions in how Showcaller AI, our AV AI agent for live shows, actually behaves:
- It asks before it assumes. Where a command is ambiguous, the agent surfaces that instead of guessing and hoping.
- Access is gated, not assumed. You decide which categories of devices and commands your AV AI agent is allowed to touch on a given show, before it ever hears a cue. Trust is something you extend deliberately, not something the system takes by default.
- Every action is confirmed, not just attempted. Tally exists because “the AI sent a command” and “the AI did the thing” are different claims, and only one of them should get to call itself done. If something doesn’t take, you hear about it immediately.
- Nothing is hidden after the fact. Air Check keeps a permanent record of everything that happened during a show — not because we expect it to be needed often, but because a system you can’t audit is a system you have to take on faith.
None of these are flashy features. They’re closer to constraints: limits we’ve deliberately put on what our AV AI agent is allowed to do, because the alternative is a system that’s more impressive in a demo and less trustworthy in an actual show.
Where an AV AI Agent Actually Earns Its Keep
On a real show, an AV AI agent isn’t there to replace a TD’s ear or a director’s eye. It’s there to handle the layer underneath: cutting a vMix input, repositioning a PTZ camera, muting a channel on an X32, or checking that a wireless pack is still transmitting. None of that needs a human’s judgment. All of it needs a human’s sign-off on whether it actually happened, which is exactly what an audit trail like Air Check is for. That layer spans lighting consoles, wireless mic packs, video switchers, and audio desks alike, which is why an AV AI agent has to speak each device’s native protocol rather than settle for a lowest common denominator.
The Real Job: Cutting Technical Drudgery, Not Judgment
The thing worth eliminating from a Technical Director’s day isn’t decision-making. It’s the technical friction around it: manually rigging a stack of devices before you can do anything else, manually checking whether a command actually landed, manually reconstructing what happened after something goes wrong. None of that requires a TD’s expertise. All of it currently eats the attention that expertise needs.
That’s the gap our AV AI agent is built to close. Not “stop paying attention,” but “stop spending your attention on the part of the job that was never about judgment in the first place.”
Why This Is a Bet, Not Just a Values Statement
We could build a version of this product that does more without asking, that skips confirmation, that quietly handles edge cases instead of surfacing them. It would probably demo better. We think it would fail the first time it actually mattered — the first time a show was on the line and something needed a human to notice it.
A Second Chair doesn’t run the show. It makes sure the Technical Director never has to choose between running the show and watching the technical details that make it possible. That’s the bet we’re making with Showcaller AI: an AV AI agent built to be audited, not just trusted on faith, because in this industry the cost of being wrong isn’t a bad recommendation. It’s a show that didn’t go the way it was supposed to, in front of people watching it happen.
If that tradeoff sounds right for your show, the easiest way to see it is to watch it work. See how Air Check works or book a live demo to watch our AV AI agent confirm a cue against real hardware in real time.