The problem
Michelle cofounded The Prompting Company to help businesses work smarter with AI. But like most early stage founders, she wears every hat. Support tickets, sales calls, partnerships, ops. Her inbox isn't a distraction from her work. It is her work.
Every customer email matters. A slow response means a lost deal or a frustrated user. She was already using AI to help, with ChatGPT open in one tab and Gmail in the other. Copy the email thread. Switch tabs. Paste the context. Prompt the AI. Get a response. Switch back. Paste it in. Edit it to sound like her. Send.
The workflow worked, technically. But it was slow. The constant tab switching broke her focus. The manual prompting took time she didn't have. And the drafts never quite sounded like her without editing.
She could see what she needed: AI that just worked with her inbox, that understood her style, that didn't require orchestration. It was right there. She was already using all the pieces. But stringing them together was the bottleneck. The version of email that just flowed? She knew it was possible. She just couldn't get there with the tools she had.
"I was spending more time orchestrating AI than actually replying."
What she tried
Michelle knew AI could help with email. She tried the obvious solutions:
- Gmail + ChatGPT side by side: This was her daily workflow. It worked, but the constant copying, pasting, and tab switching broke her flow. Every email took longer than it should have.
- Email templates: Good for the most common questions, but every customer situation was slightly different. Templates felt robotic and still needed customization.
- Browser extensions for AI: Tried a few that added AI buttons to Gmail. They were better than nothing, but still required manual prompting and the outputs were generic.
- Custom GPTs and prompt libraries: She built her own prompts for common scenarios. But she still had to copy context, run the prompt, and edit the output. The setup took time she didn't have.
Each tool helped a little, but none solved the core problem: she was managing too many pieces. What she needed was AI that just worked with her inbox, without the orchestration.
The shift
With Slashy, the AI lives inside her inbox. No separate tab. No copying and pasting. No manual prompting for every email. She opens a message, and the draft is already there: contextual, accurate, in her voice.
A customer asks about an invoice from three months ago. She types "what did we bill Sarah for in October?" and gets the answer in seconds. Someone needs a calendar link. The draft already includes it. A refund request comes in. The response is ready to send.
The first few days, she kept double checking everything. Old habits from ChatGPT, where you never knew if it would hallucinate or miss context. But the drafts were right. They referenced the correct threads. They knew which links to include. They sounded like her.
After a week, she stopped editing most emails. Just read the draft, maybe tweak a word or two, send. The workflow that used to take three tabs and five steps now happens in one place, instantly. She's not managing the AI anymore. It's just working.
Before
- › Gmail + ChatGPT in separate tabs
- › Copy, paste, prompt, repeat
- › Heavy editing to sound human
- › Customer details scattered
After
- › One tab, zero switching
- › Drafts ready when she opens email
- › Sounds like her automatically
- › Instant search across all threads
"Now I approve more than I compose. It just reads my mind."
How Michelle uses Slashy
AI that lives in the inbox
When Michelle opens an email, the draft is already waiting. Support questions get the right links automatically. Sales inquiries get the calendar booking flow. Refund requests get empathetic responses. She can give instructions if she wants, such as "make this warmer", but usually she doesn't need to.
After a few hundred emails, the drafts were almost always right. She went from editing every draft to approving 90% without changes.
Search that actually works
Customer asks about an invoice from October. She types "what did we bill Sarah for in October?" and gets the answer in seconds. The search understands meaning, not just keywords. She can ask "who was having trouble with the API?" and get the right threads, even if no one used those exact words.
Last month, a prospect asked about pricing. Michelle was in calls. With Slashy, she asked "what did we discuss with this person before?" and found they'd asked about custom pricing two months earlier. The draft referenced their previous conversation. She sent it within minutes. They signed the next day and told her responsiveness was a big factor.
Context that persists
A customer emails about a feature. Slashy knows they asked about it two weeks ago. The draft references the previous conversation automatically. Michelle doesn't have to remember. The system remembers for her.
Two weeks ago
When will the bulk export feature be ready?
Following up on the bulk export feature we discussed. We're launching it next week. I'll send you early access...
Customers notice when you remember details. It makes them feel heard.
What changed
The inbox isn't a chore anymore. Michelle doesn't dread opening it. She's not context switching between tabs or copying and pasting. She's not spending cognitive energy on the mechanics of responding. She opens an email, reads the draft, sends it.
Response times went from hours to minutes. Customers started commenting on how fast she got back to them. Sales conversations moved quicker. Support tickets got resolved faster. The compounding effect of just being responsive is bigger than she expected.
She's not working more hours. She's not glued to her inbox. She's just not bottlenecked by the tools anymore. The friction disappeared, and what's left is just the actual work: reading, thinking, deciding. The rest happens automatically.
Why it matters
For early stage founders like Michelle, every customer interaction matters. A slow response can mean a lost deal. A forgotten detail can make you look disorganized. Customers judge your product by how you show up in their inbox.
Before Slashy, she was responsive, but it took effort. The constant tab switching, the manual prompting, the editing. It was exhausting. She could do it, but it wasn't sustainable. Something had to give, and usually it was response time.
Now she's responsive without the effort. The tools work with her, not against her. She can keep up with support, sales, and ops from one inbox, without burning out. The version of email that felt possible but out of reach? She's there now.
The AI isn't replacing her. It's removing the friction between her and her work. She's still making the decisions, still writing in her voice, still running the business. She's just not fighting her tools anymore.
TL;DR
No more tab switching between Gmail and ChatGPT. The AI lives in her inbox now. She approves more than she composes.

