Podbit · The MongoDB Podcast
Building AI from scratch is losing the argument in most enterprises. Integration wins on speed-to-market, TCO, and talent access — and you'd need months to years plus massive CapEx to match what you can get up and running in two weeks.
Where this was said
At 14:55 · chapter starts 11:37
Akshaya walks through the three shifts that define Zendesk's AI-first redesign. The first is intelligent triage: what once required human review now happens in seconds, getting customers materially closer to resolution faster. The second is the move from macros — rigid, rule-based automations — to Copilots that provide dynamic, context-aware guidance to agents in real time. The third is workforce management, where load balancing and staffing optimisation become fully automated rather than siloed in a contact centre operation. The results speak loudly: in extreme cases, early adopters have cut email handle time by 92% and slashed customer question response time by 74%. [1] — Akshaya Murthy "92% email handle time reduction: Early Zendesk AI adopters cut email handle time by 92% using intelligent triage and routing powered by AI." 09:56 The through-line, Akshaya stresses, is a fundamental reframe: Zendesk has moved from building better ticketing software to delivering measurable business outcomes for customers.
Customer expectations have shifted from 'soon' to 'now'. They want instant resolution, full context of their history, and service that feels human — even if it's AI. Fail any one of those three and you've already lost them.
A 2025 survey found 90% of companies say AI is central to customer loyalty, yet loyalty drops sharply when customers discover they are talking to a bot.
Sam had no coding knowledge, so he used ChatGPT voice mode to generate his entire codebase and copy-pasted it into Notepad. A friend later introduced him to Cursor, and he never looked back.
Copy days of Discord chat history, paste it into ChatGPT, and ask it to list recurring pain points. The ones that come up most often are your best product bets.
Sam's top advice: when prompting Cursor, tell it to architect code for 100,000 users from day one. The AI changes its approach, building scalable frameworks instead of brittle one-user code.
With AI coding tools like Cursor, Bhanu replicates an existing free tool for a new keyword in under 5 minutes. What used to be a multi-day build is now a lunch-break task.
Ahrefs, SiteGPT, Cal.com, PostHog, Datafast, Sibyl AI, Bento, Feather, Featurepace, Mintlify, Cloud Code, ChartMogul — Bhanu runs his entire business solo with these 12 tools.
PropGPT runs on React Native with TypeScript and Python for ML, Neon for the database, RevenueCat and Superwall for monetization. LLM costs are $20/month, data APIs $100/month, and after $10K in monthly marketing spend, margins sit at roughly 50%.
Game apps keep users engaged long enough for ads to pay off. Tool apps don't — so if you're building a utility, ads are almost always the wrong call and subscriptions are your only real lever.
Inside SEO Bot, a single button labelled 'Boost My Domain Rating' routes users directly to Listing Bot. That one interaction converts a user of one tool into a user of two — without any marketing cost.
Directory listings are a powerful but underrated growth channel — but only if your product is genuinely interesting enough to earn the click. AI products have a natural advantage here because they're easy to package in a compelling, clickable way.
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