Nov 18, 2025 · 48m · we-live-to-build
He Manages $100M in Ad Spend With a Trick Nobody Tried Yet
0:00 / 0:00
▶ Watch on YouTube →
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
Host Sean Weisbrot interviews a tech founder who repurposes software development tools like Cursor and Claude into an integrated operating system for business management, market research, and autonomous digital advertising.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Sean holds 25.1% of the talking time here. How this is scored →
Sean as informed peer 5.0 Guest teaching 4.6 Guest disagreement 1.4 Sean pushing back 2.4
speaking balance: gold is Sean, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 36:20 Seva redirects Sean back to executive workflows
Seva politely cuts off Sean's deep dive into debugging code commits to firmly steer the conversation back to CEO and managerial AI workflows.
Hardest push from Sean ▶ 26:55 Sean questions real time savings of automated CSM cardsSean refuses to accept that automated status updates save an hour a day, arguing managers still spend equivalent time double-checking output accuracy.
Biggest teaching moment ▶ 32:01 Seva teaches prompt strategy for architecture decisionsSeva shows Sean how to avoid vibe-coding pitfalls by instructing the AI to specifically search developer forum discussions on Reddit and GitHub for proven implementation patterns.
Sean holds their own ▶ 11:40 Sean details product specification breakdownsSean demonstrates deep operational expertise citing the exact friction points between Confluence user stories, Figma design screens, and QA validation.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Sean as informed peer | Guest teaching | Guest disagreement | Sean pushing back | Why |
|---|---|---|---|---|---|---|
| Repurposing AI Coding Tools for Internal Business Operations | 4 | 3 | 1 | 1 | Sean introduces Seva's unconventional workflow of using Cursor and Claude as an internal operating system rather than just for coding. Seva walks through a screen share demonstrating how context files, company vision, and pitch decks are dynamically processed without web chatbot copy-pasting. | |
| Persistent Knowledge Management and Layered Document Creation | 4 | 4 | 1 | 1 | Seva demonstrates layered document summarization and explains how canonical truth rules prevent hallucinations during urgent PR responses. Sean shares his past experience spending months manually crafting web copy and user stories. | |
| Establishing Canonical Company Truths and Modular Rules | 4 | 5 | 2 | 3 | Sean pushes back that managing canonical files across a company could drive someone crazy. Seva clarifies that modular rules only require loading a few core files per folder context to avoid overwhelming the system. | |
| Dynamic Customer Research and Pain Point Prioritization | 6 | 5 | 1 | 2 | Sean demonstrates product management expertise detailing real-world desynchronization between Confluence specs, Figma files, and QA testing. Seva explains how dynamic customer transcript extraction and API research prioritize actual pain points over founder assumptions. | |
| Scaling Lean Teams and Automating Sales Competitor Research | 5 | 4 | 1 | 2 | Both discuss how AI tools allow lean startups to avoid hiring multiple specialists. Seva illustrates automated competitor analysis pulled directly from call transcripts and email history. | |
| Streamlining Client Onboarding and Project Status Tracking | 5 | 5 | 2 | 5 | Seva shows automated CSM status card updating from meeting recordings. Sean challenges whether managers still spend just as much time verifying the generated updates, prompting Seva to clarify the 90% manual data entry reduction. | |
| Vibe Coding Challenges and Sourcing Real Developer Insights | 7 | 5 | 2 | 4 | Sean shares an in-depth story of vibe coding a SaaS tool to near production before getting stuck in git rollback loops. Seva teaches a prompting trick using real community insights from GitHub and Reddit to evaluate technical architecture. | |
| Autonomous Performance Marketing and Closed Loop Ad Optimization | 5 | 6 | 1 | 1 | Seva demos Ellie, an autonomous performance marketing agent capable of executing SQL queries, evaluating ad set ROAS, and generating automated budget rules. Sean validates the approach by comparing it to an expense agent he previously envisioned. |
Statements from this episode (12)
Ustinov: Use AI Coding Tools Like Cursor For General Business Workflows
“I noticed that you can actually use cursor and cloud code and other tools, not just for code, but also for documents, emails, presentations, project management, sales emails and everything.”
Ustinov: AI Automates Half of My Company's Total Workload
“That was the aha moment for me when I realized how AI can actually help me automate like half of my work and half of my company's work.”
Ustinov: File Structures Enable Knowledge Reusability Better Than ChatGPT Threads
“You can do the same in chat GPT. But only within one like chat thread. So if you want to get back to this later in chat GPT, that would be like hard or impractical especially with like chats you had like long time ago, but here everything is saved to the same …”
Ustinov: My Company Manages $100M Per Year in Digital Ad Spend
“Actually we manage one hundred million dollars per year in ad spend”
Ustinov: Marking Corrected Data as Canonical Permanently Fixes AI Errors
“Instead of correcting it every time I can just fix it once. And this problem won't return because now it has the right knowledge and it marked it as canonical.”
Ustinov: AI Replaces Static Spreadsheets by Dynamically Rebuilding Data Contexts
“Whatever columns you choose will stay there forever. But with AI, with full context of your research files, you can rebuild these things on the fly. And again, you're still responsible for everything, for any decisions, analysis, highlights, everything. But it…”
Ustinov: Automating Operations With AI Saved Us From Hiring Five Employees
“We haven't hired at least
Four or five people to date that we were considering hiring like a new person for this new role.
And we decided not to, because it was faster and easier to automate some processes and workflows instead of having a dedicated person for…”
Ustinov: Answering Competitor Queries via Cursor Context Beats Delegating to Humans
“I asked my cursor to go read all of our emails with them, all of our call transcripts with them, go update that competitor analysis and come up with the answer.
It did like a lengthy answer and I looked at it myself.
I said, okay let's do a short version with …”
Ustinov: Non-ecommerce ad optimization requires stitching backend, CRM, and ad data
“To make decisions about ads, they need to centralize data from their backend, their payment systems, their CRM, their call tracking systems, like compared to compared to e-commerce, it's not enough to just have ad platform data or web analytics, like Google an…”
Ustinov: Final Production Software Still Requires Real Developers Despite AI Prototyping
“It's actually like a typical thing to like, to do prototypes fast to experiment, to make, to like, see what works, what's not, how it looks, how it's, how to implement it. But then like the final production version actually like still needs real developers to …”
Ustinov: Future Knowledge Work Will Center on Unified Context Over Apps
“And I strongly believe that in the future, most of the work with any kind of systems will look like this. Of course it wouldn't be a cursor. It would be like something nicer in terms of interface and everything. But the process of building up your context, bri…”