Client revision requests used to be my least favorite part of engineering.
"Can it feel bigger?" "The vocal is weird in the second part."
I built an agent that turns that chaos into a checklist. Here's the setup. π§΅
If you do client work of any kind, this pattern transfers:
one intake point β structured checklist β human verifies β human executes.
Build the intake first. Everything else follows from it.
@Terrence_okafor Solving your own repetitive problem first is the right instinct β that's how every useful agent I've built started, usually something annoying in my studio workflow. What's been the most surprising win so far?
@MatijaSosic Same tension exists in the studio. When a plugin preset nails the sound instantly, you skip the years of learning why it works β until something breaks. My fix: let AI handle the task, then make it explain the decision. Speed AND the lesson.
@DWessel35 Cost transparency is the unlock here. Most creators I talk to stall on agents not because of capability but because they can't predict the bill. Nice work making that visible before people commit.
@tinytechfox Music taught me this one. The demo you're embarrassed by teaches you more than the perfect session you never book. Reps in public beat theory in private, every time.
@nickgriemsmann Love seeing writers step into production this way β the song was always the hard part, and AI just lowered the wall around it. Listening to a couple of tracks from FLOOD now. Keep making.
@MOtunde Blind tests measure polish, and polish was always going to fall first. What the asterisk can't capture: who made the hundred taste calls that shaped the record. Credits may need to shift from "who played it" to "who decided."
@siliconvalleymm@FutureJurvetson That curve is why a mix that needed a million-dollar SSL room in 1999 now happens on a laptop in a bedroom. The tools keep collapsing in price β what never gets cheaper is knowing what to do with them.
As recorded music gets cheaper to make, the live room gets more valuable.
Not just concerts β session footage, live takes, one-mic performances, imperfect and unrepeatable.
When anyone can generate a polished track, proof of a human in a room becomes the product.
The studio of the next decade has cameras in it.
@therighteousass The framing I keep coming back to: let the agent be the assistant engineer, never the co-producer. Routing, levels, session admin β hand it all over. The calls that define the record's identity stay human.
@marcopapa99 No. 1 is the sleeper story here. Benchmarks measure the model β weird real apps measure the builder. Music taught me the same lesson: nobody's gear demo tells you who has taste, the finished record does.
@naitikchame Shipping over studying is the right call. One thing I'd add from years in studios: the reps only compound if you review them β a quick post-mortem on each build teaches more than the next tutorial ever will.
@shweta__kaushal@satyanadella Creators should sit with this one. Your corrections are your taste β the thing that makes your work yours. I keep my agents grounded in my own session notes and references partly for this reason: the model can change, the context stays mine.