8:42 AM - Inbox triage
I open the Lectern dashboard before my coffee cools. It's Tuesday, early May, and the team Slack pings me with an overnight summary. Three new signups came through Product Hunt from yesterday's boost. Eight customers uploaded briefs for deck generation. One refund request waiting in my queue.
I check Stripe first. The refund is from Marcus Webb, signed up four days ago, tried the free tier, didn't convert. I make a mental note to ping him later - sometimes people just need a nudge or a walkthrough. The two successful charges from yesterday are still pending on the dashboard; they should settle by tonight. I'm at $1,240 in revenue this week. The pipeline shows three conversions close to landing today if they come through - annual deals, both from the cold outreach to Techstars alumni. One might push this week over three thousand.
My email has seventeen new messages. I open Gmail and sort by sender. Twelve are automated notifications from the system, mostly failed deck uploads that the agent already flagged. Three are from customers asking questions I'll handle myself. Two are flagged red by my filter for keywords like "bug" or "missing."
The agent - my AI operations layer that drafts responses, flags escalations, and batches routine tasks - has prepared a stack of outbound emails for my review. These are critical. I can't let mistakes go to customers. I open the shared Google Doc where the agent stages its work and start reading.
9:28 AM - Review and approve
The first draft is a thank-you email to Carol Reyes at Reyes Family Practice. She used the free tier to build a pitch for venture partners and converted to the $99 annual plan yesterday. The agent wrote: "We're thrilled to have you building better pitches with Lectern. Your feedback about the template library has been invaluable." I smile and approve it. The agent will send it within the hour.
The second draft is stickier. It's an outreach email to Tyra Mitchell, who signed up three weeks ago, generated two decks, then went silent. The agent framed it as: "We noticed you've been exploring Lectern. I'd love to hear what's holding you back from upgrading to a paid plan." I edit it. "Exploring" sounds like marketing speak. I change it to "I saw you built two decks with us. Happy to help if you're stuck on something." That's closer to how I actually talk to people. I approve the edit and move on.
The third one makes me pause. It's a response to a support ticket from Devon Park, who reported that Lectern is generating decks with inconsistent font sizes on slide six. The agent flagged this one with a red tag. It's a real bug, not user error. The agent drafted: "We're aware of this issue and have escalated it to our engineering team." But I'm the engineering team, such as it is. I'm running this solo right now.
I open Linear, where I've been tracking bugs. Nothing about the font size issue yet. I push back on the agent's draft and write a new one: "Thanks for catching this, Devon. I'm looking at it this morning and should have a fix deployed by tomorrow. I'll send you a note when it's live and reimburse the deck credits you used while working around it." I add a card to Linear to fix the font handling in the slide-six template and set it as high priority. I'll do it this afternoon if I have time.
10:45 AM - The flagged conflict
The agent has also flagged a conflict in the daily briefing. Two customers submitted briefs with the exact same company name - both called "Velocity Labs." One is a real AI infrastructure company in Austin. The other is clearly a test or a duplicate upload. The agent's logic couldn't determine which was legit, so it held both in a queue.
I check the signup data. The first Velocity Labs account was created by someone using a Gmail address. The second came from a corporate email. I open the second customer's brief and read through it - it's clearly a real submission, good detail, real problem statement. I message them in-app: "Hey, just noticed another company with your name signed up too. Want to make sure we're generating the right deck. You good to go." Ninety seconds later, the second Velocity Labs customer responds: "Oh no. That's my cofounder testing it out. Delete that one." I merge both accounts and mark it resolved in the agent's log. This is the work that doesn't scale but matters enormously - judgment calls that a system can't quite make.
12:31 PM - Lunch and the metrics check
I eat a sandwich at my desk and pull up the analytics dashboard. Week to date: twenty-two signups, eight conversions, one churn (Marcus Webb, the refund guy). I'm seeing the free-to-paid conversion rate hold at about 35 percent, which is holding against my projections. Cohort retention is still showing strong at week three - most customers who convert don't bounce immediately.
I check the Slack channel where my agent posts hourly summaries. It shows that the cold outreach campaign is working better than the Product Hunt wave now. Of the three recent conversions from accelerator alumni lists, two are responding to my personal emails and scheduled calls. One is waiting for me to send a payment link. I Slack that one to myself as a to-do.
The number I watch most is month-to-date ARR. I'm at about $5,200 this month so far. If the two pending conversions close today, I hit fifty-eight hundred. That's tracking ahead of my conservative January projection. I allow myself a moment of satisfaction. Not a lot of money, but real money. From real customers who are using the product to make real pitches.
2:08 PM - Customer escalation
My phone buzzes with a Slack notification from the agent. Sarah Chen, a customer for eight weeks, just sent an angry support message. "I've been on the free tier. I'm ready to upgrade to annual. But your pricing is now $199 instead of $99. When did you raise prices and why wasn't I notified?"
I read this three times. I didn't raise prices. The pricing page is still $99 annual, $15 monthly. But Sarah's account is showing her a different number. This is a nightmare scenario - a customer ready to pay being told a higher price than what I'm actually charging.
I dig into the logs. Sarah's account has been attached to an old staging coupon code that her cofounder used when testing the product. The coupon was supposed to expire in March. It did expire, so when she tried to check pricing, the system applied the full rate instead of the promotional rate. The agent should have caught this and refunded the difference, but the logic didn't flag it.
I write Sarah directly: "Sarah, I see the issue. That's my mistake - there's an old test code on your account that expired. You should be seeing ninety-nine dollars for the annual plan, always. I'm sending you a custom payment link for that price right now and a hundred dollars in credit for the confusion. I'm sorry about that." I generate the link in Stripe, add her account to my cleanup list, and push another bug to Linear for the coupon-expiration logic.
She responds in four minutes: "Oh wow. Thanks for being straight with me. Upgrading now." Two hundred ninety-nine dollars hits my Stripe account in real time. The daily revenue counter bumps up. These moments - the moment a customer feels heard and chooses to trust you anyway - are why I'm doing this.
4:17 PM - Pipeline and fixes
I spend forty minutes working through the font-size bug that Devon Park reported. It's in the template renderer, specifically how the library handles line-height inheritance on certain slide types. I push a fix, test it against a sample brief, and deploy it to production. I mark it resolved in Linear and fire off a quick note to Devon: "Fix is live. Try generating a new deck with the same brief and let me know if it looks better." Three minutes later, I see him spin up a new deck through the product analytics.
The rest of the afternoon, I'm in the pipeline. I send the payment link to Velocity Labs number one. I approve three outbound customer-success emails the agent staged. I look at the week-ahead calendar and see three calls scheduled with prospects. I spent thirty minutes preparing talking points, pulled from what worked in the previous two conversions.
6:04 PM - Wrap
I close the laptop at six-oh-four. Stripe shows today's revenue is two hundred ninety-nine dollars. Tomorrow will probably be lighter. But the week is tracking well. I have three calls scheduled for Thursday that feel solid. The product is holding up. The bug backlog is manageable.
This is the work: it is not glamorous. It is not automated. It is me, reading customer messages, making judgment calls, fixing bugs, and watching numbers. It is the agent amplifying what I can do, not replacing the work entirely. Some days the agent catches everything correctly. Some days I spend an hour cleaning up the edges.
But the machine is running. People are paying. And I'm building something they actually need.