Jeeva AI

A sales director called me last week. "We just lost our VP of Sales. This usually kills us for 6 months." Then she said something that stopped me: "But this time? My team barely skipped a beat." Here's what happened: Their VP had been there 4 years. Built playbooks. Perfected objection handling. Knew every deal pattern. All of that knowledge was supposed to walk out the door in his brain. Except it didn't. Because they'd been using Jeeva. Every conversation he had. Every objection he handled. Every signal he caught. The AI learned it. Captured it. Made it available to everyone. The new reality: When Sarah handles an objection perfectly? The AI learns it. Now everyone has that response. When Mike discovers a new pain point? The AI spots the pattern. Now everyone asks about it. When the VP leaves? His playbook doesn't. The uncomfortable truth about most sales teams: Your best performers accumulate knowledge that dies when they leave. New reps start from zero. Make the same mistakes. Learn the same lessons. You're not building a sales machine. You're running a knowledge treadmill. The shift: What if your top performer's instincts could be distributed to your entire team? What if losing someone didn't mean losing what they knew? That's not theory. That's what our customers are doing. One told me: "We used to panic when good reps left. Now we just... don't." Because the knowledge never left. Question: When your best rep quits, what actually walks out the door?

Our AI Found $2.3M in 'Dead' Pipeline That Was Actually Very Much Alive Every sales team has it. The "graveyard" section of your CRM. Deals marked "Closed Lost" or "Not Interested" or just... forgotten. We ran an experiment with Jeeva last month: Fed it 500 "dead" deals from a customer's CRM. Asked it: "Which of these should we re-engage?" The AI's analysis: → 340 deals: Actually dead (went with competitor, budget disappeared, company shut down)  → 160 deals: Not dead, just went quiet The 160 "zombie deals" broke down into: 67 deals: Rep gave up after 2 follow-ups (average buying cycle is 4-6 months for this product) 43 deals: Contact changed jobs, no one followed the contact to new company 31 deals: Prospect said "not now" 8 months ago (timing issue, not fit issue) 19 deals: Lost in a CRM migration (duplicates, incomplete data, no one followed up) Jeeva's recommendation: "Re-engage these 160 with personalized outreach based on where the conversation dropped off." The AI wrote custom emails for each: "Hey [Name], I know we talked 8 months ago about [specific pain point]. You mentioned timing wasn't right. Curious if that's changed?" "Saw you moved to [New Company]. Are you dealing with similar [problem] there?" "We've added [feature you asked about]. Thought you'd want to know." Results after 30 days: → 89 responses  → 34 meetings booked → 12 deals reopened → 6 closed Total value: $2.3M in revenue from "dead" deals. Most deals don't die because of fit. They die because of: Bad timing Inconsistent follow-up Rep moved on too fast CRM chaos AI can resurrect what humans wrote off. Not with spam. With context and timing. Stop focusing on filling the top of the funnel. Start focusing on not letting good deals slip through the cracks. Comment "ZOMBIE" and I'll send you our checklist for identifying which "dead" deals are actually worth reviving (with email templates).

The Best Sales Reps Aren't Superhuman.  They Just Have Less Busywork. I used to think top performers were just "naturally good at sales." Then I watched them work. They're not doing anything magical. They're just not drowning in the same busywork everyone else is. Here's what I mean: Average rep's day: 2 hours: CRM updates and admin 2 hours: Lead research 1.5 hours: Writing emails 1 hour: Following up on old leads 1.5 hours: Actually talking to prospects Top performer's day: 0 hours: Admin (has an assistant or ignores it) 0.5 hours: Research (only when needed) 0.5 hours: Email (quick and efficient) 6 hours: Talking to prospects The difference isn't talent. It's time allocation. But here's the problem: Most companies can't afford to give every rep an assistant. So average reps stay average. Not because they can't sell.  Because they can't escape the busywork. This is what Jeeva AI changes. We give every rep what top performers have: Someone (AI) handling everything that doesn't need their brain: → Finding leads that match their ICP → Enriching data so nothing's missing  → Writing personalized outreach at scale  → Following up so nothing slips  → Updating the CRM so managers have visibility The result: One customer's "average" rep is now outperforming their old top performer. Not because they got better at sales. Because they finally get to spend their day selling. The insight: Sales performance isn't normally distributed. It's time-distributed. Give every rep 6 hours of selling time instead of 1.5, and your "average" team becomes exceptional. That's what we're building with this $9M. Not AI that makes your best reps 10% better. AI that makes your entire team perform like your best rep. Because the bottleneck was never talent. It was time. Comment "DEMO" and I'll show you what it looks like when AI handles everything except the actual selling.

The 10-Minute Tax Every Sales Rep Pays (And How We Eliminated It) I shadowed 20 sales reps last quarter. Found a pattern that nobody talks about: The 10-Minute Tax. Here's what it looks like: Rep finishes a call. Good conversation. Clear next steps. Then they spend 10 minutes: Pulling up Salesforce Finding the contact (scrolling past 3 duplicates) Clicking through tabs to update fields Writing notes no one will read Setting a follow-up task Updating the deal stage Checking if they spelled everything right 10 minutes. After EVERY call. Do the math: 6 calls per day × 10 minutes = 1 hour 5 days per week = 5 hours 50 weeks per year = 250 hours That's 6 full work weeks per year spent on post-call admin. But here's the worst part: By the time they finish updating the CRM, they've forgotten the subtle cues from the conversation. The hesitation when the budget came up. The excitement when you mentioned a specific feature. The name-drop of a competitor they're evaluating. Those nuances? Lost to data entry. This is what we solved with Jeeva: AI listens to the call. Captures everything. → Rep hangs up → AI updates all CRM fields → AI extracts action items → AI sets follow-up tasks → AI flags important signals ("They mentioned budget 3 times - high intent") Elapsed time for rep: 0 minutes. Next call starts immediately. → 250 hours/year returned to each rep → That's 6 extra selling weeks → That's 30+ extra deals per rep → That's $180K+ in additional revenue per rep All from eliminating the 10-minute tax. The bottleneck in sales isn't talk time. It's the tax you pay after every conversation. Remove the tax, and your team's capacity doubles without hiring anyone. Comment "TAX" and I'll send you our calculator showing exactly how many hours (and dollars) your team loses to the 10-minute tax every year.

We’re heading into a decade unlike any before it. The next decade will compress 100 years of technological, economic, and social change into 10. AGI by 2027. 99% of jobs automated by 2030. A post-work economy by 2035. And through all of this… the last human skill that remains economically valuable? I just published one of the most important essays I’ve written, a deep dive into: How fast AI is advancing Why nearly all work is becoming automatable What happens in a 99% automated economy The rise of universal basic income & “universal high income” And which skill may become the last human skill I also share lessons from building Jeeva AI and why AI agents won’t replace human judgment, but augment it. If you’re curious about the future of work, sales, AI automation, decision intelligence, or the role humans will play in an AI-dominated world… this is for you. Comment “Future” and I’ll DM the link to you. Would love to hear your thoughts: What do you think humans will still do better than AI in 2035?

We Sent $0.02 to 250 Strangers (And Raised $9M Because of It) Most founders spend $50K on a sales team. We spent $5 on PayPal fees. Here's what happened: We sent $0.02 via PayPal to 250 potential customers. The message: "Here's our 2 cents on sales. Give us yours about our product." The results: ✅ 50 people booked meetings  ✅ 20 became paying customers ✅ 50 told us we were idiots  ✅ 130 ignored us ROI: 4,000% But here's the part that got us $9M from Marc Benioff, Jack Altman, and Sapphire Ventures: It wasn't the ROI. It was what the strategy PROVED. → We test fast, fail public, iterate faster → We stay uncomfortably close to real reactions  → We're building for people who appreciate weird, honest, human approaches Every investor asked: "Why 2 cents? Why PayPal?" My answer: "Because everyone else sends a cold email. We wanted to do something they'd actually remember." Half our customers came from people who initially thought it was stupid but respected the audacity. The insight that changed everything: In a world of AI-generated outreach and perfect-sounding scripts. Being weird and human is your only moat. Jeeva AI isn't just a sales tool. It's permission for non-salespeople to sell like themselves, not like a script. The 2-cent strategy wasn't a growth hack. It was proof of concept. Now we're using this $9M to help 10,000 more founders sell without feeling like frauds. DM me "Patterns" and I'll show you how to identify your team's winning behaviors.

We Built an AI That Follows You Around Like a Sales Coach  (Because That's What We Needed) I used to record my sales calls and listen back at 2 AM, cringing. "Why did I say that?"  "I should've asked about the budget earlier."  "That objection was so obvious. Why didn't I see it coming?" The problem with traditional sales training: You learn in a classroom. Then you're alone on the call. And you freeze. So we asked: What if you had a coach IN the room with you? That's Jeeva AI Not an AI that writes emails for you. An AI that watches HOW you sell and tells you what to do better. Here's how it actually works: → You're on a sales call or writing outreach  → Jeeva listens/reads in real-time  → It whispers: "Ask about their current solution" or "They just gave you a buying signal"  → After the call: "Here's what you missed. Here's what worked. Here's what to do next time." It's like having a sales mentor sitting next to you. Always. The difference: Other tools: "Here, use this template"  Jeeva: "Here's why YOUR approach didn't work, and how to fix it based on what THIS customer just told you" Since launch, we've analyzed 50,000+ sales conversations. The pattern we found: People don't need scripts. They need real-time coaching. Sales isn't about having the perfect pitch. It's about listening better than your competitor. Now with $9M, we're building the coach that helps you do exactly that. For everyone who's ever thought "I'm just not a natural salesperson": You don't need to be natural. You need a coach who makes you better every single conversation. Comment "Playbook" and I'll send you the breakdown of what top performers do differently.