Wishdeal Factory · Storefront
A typical day · Owner-operator's seat
← Back to Music Production AI

Day 1 operating Music Production AI.

First-person, second-month operator. What you'd actually be doing on a Tuesday. Real customers, real numbers, real friction. Synthesized from the agent spec and the GTM model.

8:42 AM - Inbox triage

I open my laptop before the coffee finishes brewing. The Slack notification from last night is still there: three free trial signups came in between midnight and 6 AM, one of them from someone in the r/WeAreTheMusicMakers subreddit whose post I'd commented on two days ago. The YouTube algorithm is working. I pull up the admin dashboard to see the week-to-date numbers: 18 signups so far, 4 of them paid conversions from the trial. Revenue is sitting at $396 for the week, which puts me roughly on pace for the $12,000 monthly target I need to hit to stay on track for year one. The number feels both real and fragile.

I scan Gmail. There are 17 new messages, but my AI agent has already sorted them into folders: cold inquiries, support questions, trial accounts needing onboarding help. I focus on the ones with the little red flag, which means they need my actual judgment. One is from David Park, who canceled his subscription yesterday. His subject line is "why the hesitation on Stripe ACH support?" I click it open. He needed his studio clients to pay via ACH transfer, not just card, and I'd told him in a trial call that the roadmap had it planned for month six. Apparently, he couldn't wait. I pull up the Linear board to check - ACH support is actually there in the Stripe section of the backlog, estimated for June. It's not a technical problem. It's just a timing problem that I misjudged. I make a note to loop back to him next week when the feature is closer to done. Maybe I can win him back, or maybe I just learn that I need to build faster for certain segments.

10:15 AM - The draft emails

I click through to the email folder labeled "review_before_send." The AI agent prepared four onboarding emails overnight, one for each of the new trial accounts. I'm still hand-checking these because the first week is where people decide if they'll actually use the product.

The first email is to Carol Reyes, who signed up yesterday afternoon. The agent drafted something solid: a walkthrough of how to set up a client profile, a link to the 6-minute studio setup video, a calendar link to claim a spot on the weekly office hours call. The language is friendly but not overly casual, and it doesn't oversell. I change one line from "we think you'll love the client management workflow" to just "the client management workflow is the core of how Music Production AI saves you time," which feels more honest.

The second one flags a problem. It's for Elena Torres, who signed up listing "bulk client import" as her must-have feature. The agent drafted a reply saying the import tool works great with CSV files. But I know - I checked this yesterday - that our importer only handles up to 50 clients per file. Elena's signup form mentioned she has 200+ contacts to migrate. This is exactly the kind of moment where the agent would bury the limitation inside a feature explanation. I rewrite it to lead with what's true: "We support CSV import up to 50 clients per file. For larger studios, you can run multiple imports or jump on a call with me to discuss workarounds." Better to be direct now than have her frustrated in week two.

I approve the other two and hit send. The third email goes out, and I watch the Slack notification ping in the #signups channel. It's a small dopamine hit. Someone new is getting started.

11:45 AM - A sticky question

Marcus Chen replies to an email I'd sent him three days ago about Stripe integration. He's been on a paid account for five weeks, running his studio, and he's asking if Music Production AI can auto-sync his Stripe payments back into the invoicing system so he doesn't have to manually record payments. It's a good question. The answer is: not yet, but it's on the roadmap. The real answer is: this feature is harder than it sounds because of how Stripe webhook timing works, and we're probably three weeks away.

But Marcus isn't asking for a technical explanation. He's asking if he can run his studio efficiently. I draft a reply: I'm going to have one of our engineers spend time on this next sprint because enough customers are asking for it. In the meantime, I offer him two things: a Zapier integration (which we already support) that can push completed Stripe charges into his invoicing log, and a 15-minute call next Tuesday if he wants to set it up together and talk through his exact workflow.

I send it and mark it as a feature request in Linear, tagging it as "high-impact" - because if Marcus needs this, so do probably ten other studios running lean operations.

12:30 PM - Lunch and the metrics check

I eat a sandwich at my desk and open the analytics dashboard. This is the part of running a software business that nobody really talks about: staring at numbers that represent real people deciding whether your tool is worth their money.

Week-to-date metrics:

  • Signups: 18
  • Conversion rate from trial: 22% (4 out of 18)
  • Average revenue per new customer: $99 (one month, standard tier)
  • Churn: 2 out of 16 active customers (David Park plus one silent cancellation two weeks ago)
  • Manual support hours: 14 hours (tracked in Slack)

The churn rate is worrying. It's only month two, so there's noise in the data, but two churns out of sixteen customers means I'm at roughly 12.5% monthly churn. If that holds, I'll need to add three new customers every month just to stay flat. The word "traction" feels like marketing speak right now. The word that feels real is "fragile."

I pull up the customer cohort report to see who's still using the product. The five who signed up in month one are mostly still logging in. Marcus checks in three times a week. Carol Reyes has logged in once since signing up yesterday, which is normal. But Elena Torres hasn't logged in yet today, and I'm watching to see if she's going to be an active user or someone who signed up on impulse.

2:08 PM - An escalation

A new Slack alert comes through: a support email with three high-priority flags. It's from a customer named Sanjay Kumar who's been on the paid plan for six weeks. The subject is "Billing Issue - Duplicate Charge."

I click through to Stripe. I can see his account history: he was charged $99 on the 5th for his monthly subscription, then charged again on the 6th. The system shouldn't have done that. I investigate: he has two active subscriptions on his account from before I implemented the subscription management UI redesign. The old system allowed duplicates to slip through. It's a bug in how we handle plan changes.

I write him directly: "I see the duplicate charge, and that's on us. I'm processing a manual refund for $99 to your card right now, and I've fixed the account so this doesn't happen again. I'll have a permanent fix to our billing system deployed by end of week. You should see the refund within 3-5 business days."

I process the refund in Stripe, which takes maybe two minutes. Then I open Linear and create a ticket for the billing team: "Fix subscription duplication on plan changes." I tag it as P0 - production issue. This is the kind of thing that can silently churn customers if I don't catch it.

I follow up with Sanjay an hour later with a quick note: "Refund processed. Thank you for letting me know about this. I'm committed to getting our billing system bulletproof."

It feels like damage control, but it's also the core work: a customer has a real problem, and I solve it. The AI agent could have drafted a templated response, but this needed my judgment on whether to refund immediately or ask for documentation. I made the call to refund. Sanjay's probably staying.

4:30 PM - Pipeline review

I pull up the trial-to-paid funnel in the dashboard. Out of the 18 signups this week, four have converted. That's good. But I'm watching Carol Reyes especially because her signup came from the YouTube tutorial I posted three days ago on "How to Invoice Studio Clients Without the Spreadsheet Hell," and she's the exact person that video was made for. She's been in the trial for 36 hours and has completed the onboarding. I'm betting she converts within a week.

I also note that Elena Torres, the one with the bulk import question, still hasn't logged in. I make a mental note to send her a gentle check-in email tomorrow if she doesn't log in again today. Sometimes free trial users just get busy and forget.

The Slack channel pings again: another signup. This one came through the Gearspace forums where I've been hanging out and answering questions about studio business management. Week-to-date is now 19 signups. That keeps the momentum real. I open the new signup's profile: someone calling themselves TJ Beats, based in Portland, listed "client scheduling" as the pain point. I add them to the onboarding queue.

5:45 PM - The bug fix

I spend 45 minutes on a small thing that's been bothering me since yesterday. The dashboard calendar for studio sessions is sometimes showing the wrong client name in the event preview. It's not a massive bug, but it's sloppy, and I noticed it when reviewing a customer session yesterday. I grab the codebase locally, trace through the event rendering logic, and find the issue: a variable shadowing problem in how we're pulling client names on the calendar component. It's an 8-line fix. I push it, deploy it to staging, test it with a few scenarios, and push to production. Takes about 30 minutes total. Feels good to remember I can still write code.

6:15 PM - Wrap

I close the laptop and pour another coffee. I think through the day:

What worked: the content-led funnel is real. The YouTube video and forum comments are actually converting because they solve a problem people care about. Manual review of AI emails still matters, especially in onboarding. When I engage directly with customers like Marcus and Sanjay, they feel seen.

What's hard: churn is the thing I think about. Two customers out of sixteen is noise, but it's also two revenue streams that went away. David Park's timing issue - building fast enough that people don't get frustrated waiting for features - is a real constraint. And the operational load is real. I thought an AI agent would automate more of this, but what I've learned is the agent handles 70% of the work, and I'm still here for the judgment calls, the escalations, the relationship repair, the quick bug fixes.

The path from here is clear: keep converting free trials at 20%+ rate, keep churn below 5% monthly, and build features that turn users into advocates. I'll make the ACH feature happen for David Park. I'll get Elena Torres trained on bulk import. I'll keep walking the line between automation and actually giving a damn.

It's 6:18 PM on a Tuesday, and the business is still fragile but moving forward.

This could be your Tuesday.

Music Production AI is available to own for $200 flat. Or pay $75/hr for a Roll Digital chief operator to build it for you, AI-amplified.

See pricing →