Eric runs 9 active projects, 2 paying clients, 3 live AI pilots, and a research engine that’s published 53 reports in 5 weeks. Nobody knows. The world sees “AI consultant.” The reality is a persistent AI operating system running an entire practice at 5–10x typical output. The story hasn’t been told.
This playbook synthesizes global storytelling research — 8 master builders, anti-pattern analysis, HK market scan, identity framing analysis, format benchmarking — into one narrative spine, a meeting toolkit, and a 7-day content plan.
| Category | Count |
|---|---|
| Research reports (deployed, live) | 53 |
| CLI commands | 24 |
| Skills (research/automation) | 21 |
| Paying clients | 2 (HK$40K/mo) |
| Live WhatsApp pilots | 3 |
| Production PRs to client codebase | 2 (same evening) |
| Eval frameworks | 2 |
| Math questions transcribed + verified | 225 |
| Contacts in CRM (Dunbar-tracked) | 71/150 |
| Meetings transcribed + analyzed | 30+ |
| Field-tested prototype | 1 |
| Fine-tune (identity reprogramming) | 1 (10.5 seconds) |
1. PCRM — Persistent context across 71 contacts. The AI remembers what Penny said 3 weeks ago when writing tonight’s briefing.
2. Diff engine — WhatsApp, calendar, Cursor sessions, action items diffed against last run. Nothing falls through cracks.
3. Checkout system — Every hour attributed to a project with cost, to the dollar.
4. Research pipeline — Question → 50-source HTML report → deployed in 2–4 hours.
5. Meeting intelligence — Transcribe → segment → hallucination detection → structured insights → state updates.
| Built for A | Reused in B |
|---|---|
| Sourcy eval framework | Talent Coop math eval |
| WhatsApp diff engine | Donna pilot infrastructure |
| Research pipeline (53 reports) | Client deliverables |
| OpenClaw deployment | Donna WA server for B2B |
| PCRM contact tracking | Consulting at scale |
| Builder | Spine | Mechanism |
|---|---|---|
| Elon Musk | “Accelerate sustainable abundance” | Master Plan docs — every company = a phase |
| Greg Isenberg | “Community-first businesses, $0 capital, free playbook” | Podcast clips → Reels, give away the recipe |
| Pieter Levels | “One person, one laptop, multi-million dollar portfolio” | Revenue screenshots, radical transparency |
| Guillermo Rauch | “I build the tools that ship the web — live, in front of you” | Dogfooding as content |
| Sahil Lavingia | “I failed at a billion-dollar company and found something better” | One iconic failure essay |
| Jack Butcher | “How is value created, transmitted, and verified?” | Visual identity IS the connective tissue |
| Dan Koe | “HUMAN 3.0 — a map to the top 1%” | Framework as chapters |
| Matt & Ari | “Building a 9-figure startup from our living room” | Cinematic build-in-public documentary |
Nobody 10 steps ahead calls themselves “consultant.” The universal pattern: Founder + portfolio as menu.
| Person | Exact Language |
|---|---|
| Matt Gray | “Founder & CEO, Founder OS” |
| Steven Bartlett | “Founder: Steven.com. Our Studio: X. Our Fund: Y.” |
| Hormozi | “Founder Acquisition.com” — verbs: “buying and building” |
| Gary Vee | “I day trade attention and build businesses” |
| Codie Sanchez | “I own a portfolio of Main St companies” |
| Shaan Puri | “founder, investor, & creator” |
Language IN: Founder, Builder, Operator, Portfolio, HoldCo, “I own,” Systems.
Language OUT: Consultant, Entrepreneur, Agency owner, Serial entrepreneur, CEO (alone).
Nobody in Hong Kong is doing builder-transparency content. The scene: corporate professors, startup pitches, community organizers. Zero people showing “here’s my stack, here’s what the AI does, here’s the daily workflow.” The slot is empty.
Matt Ao + Ari Bapna, co-founders of Eden (eden.so). CEO = Dan Koe. ~17K subs. Cinematic startup vlog — documenting building a real product from their living room.
The format: 10–15 min episodes. Dedicated videographer (Jason). Real work on camera: YC demos, late-night bug fixes, rebuilding after 80K users. One playlist: “Building in Public.”
Why it resonates: The content IS the work. Not content about content. Not advice — documentary. High production quality but genuine. Recurring location anchor (“our living room”). Narrative arc across episodes (launch, aftermath, pivot, rebuild).
Spine: I taught my AI to run 9 projects. Here’s what happened.
Identity: Founder. Builder. NOT consultant. The verb is BUILD, not advise.
Bio format: “Founder. I build AI operating systems — mine first, then clients.”
Content series: “I taught my AI to…” — infinite, serializable, each post standalone AND compounding.
Matt & Ari (@matt-ari): warm minimalism, cinematic but real, calm authority. Not hustle. Not loud. Clean, tasteful, quiet confidence. The building IS the content.
After co-founding GenieFriends and building a 9,000-member community, I watched my startup close down while AI changed everything around me. I had 68 real relationships, zero product revenue, and one question: what if I taught an AI to remember everything I do?
Five weeks later, it writes me a daily briefing at 8am. It tracks 71 relationships. It produces 50-source research reports in hours. It runs eval frameworks that prove which chatbot actually works. And it does this across 9 active projects — 2 paying clients, 3 live pilots — without dropping a single follow-up.
I didn’t hire a team. I taught an AI.
| # | “I taught my AI to…” | The Number |
|---|---|---|
| 1 | …write me a daily briefing from 300 WhatsApp messages, my calendar, and all work sessions. Every morning at 8am. | 71 relationships, zero missed follow-ups, 5 weeks |
| 2 | …turn one question into a 50-source research report, stress-tested with failures and counter-examples. Deployed live. | 53 reports in 5 weeks10 |
| 3 | …evaluate 3 competing chatbots against 14 real customer personas. Not opinions — data. | 67% → 100% pass rate across 5 iterations |
| 4 | …ship production code the same evening a school VP said “we want to trial.” Backend + frontend, deployed by morning. | 685 lines, same evening |
| 5 | …remember every conversation, meeting, and action item across 9 projects. It knows what we discussed 3 weeks ago. | 24 commands, 21 skills, 71 contacts |
I run 9 projects and people think I’m scattered. The truth is every project teaches the AI something new. The eval framework I built for a sourcing company became the methodology for an education company. The WhatsApp integration for my CRM became the pilot infrastructure for 3 B2B clients.
The portfolio doesn’t scatter — it compounds. But nobody can see that from the outside. That’s the story I haven’t been telling.
Right now in Hong Kong, every startup is pivoting to “AI agents.” Every SaaS company is bolting on a chatbot. And the people I meet — founders, CTOs, business owners — correctly recognize that 90% of it is noise. They’re looking for someone who can show them what’s real. Not a demo. Not a pitch deck. The actual daily operating system of a person who runs on AI.
Key data: Gartner projects 40% of AI agent projects will be cancelled by 2027.1 Human-generated content receives 5.44x more traffic than AI slop.4 The bar for credibility is higher than ever — and rising.
I build AI operating systems. Right now I’m running 9 active projects — two paying clients, three live pilots, and a research engine that’s published 53 reports in 5 weeks.
The way it works: I taught an AI to track all my conversations, meetings, and projects with persistent memory. Every morning at 8am, it writes me a briefing — what changed overnight, who I need to reply to, which projects need attention. It’s like having a senior partner who never forgets.
When a client asks me to evaluate their AI chatbot, I build an eval framework that tests it against real customer conversations. When a school says they want to trial, I ship production code the same evening.
Everyone talks about AI agents. I just show people what mine does every day.
Content hook: i taught my AI to write me a daily briefing from 300 whatsapp messages, track 71 relationships, and run 9 projects. my team costs $0/month.
Meeting hook: I taught my AI to run my entire practice. Let me show you what it wrote me this morning.
“Show me” moment: Pull up research.ericsan.io on phone. Then pull up today’s daily briefing (redacted).
Follow-up: Send LinkedIn carousel + research.ericsan.io link.
| They Say | You Say |
|---|---|
| “Everyone does agents” | “40% get cancelled.1 Mine runs in production daily. Let me show you this morning’s briefing.” |
| “How is this not a demo?” | “Pick any of these 53 reports.10 20–50 sourced references each. That’s output, not demo.” |
| “What’s different?” | “Persistent memory. Most AI forgets between sessions. Mine remembers every conversation across 9 projects.” |
| “Nine projects = scattered” | “They compound. The eval from a sourcing company became the methodology for an education company.” |
10 slides, 1080×1350. Matt & Ari aesthetic: warm minimalism, all-lowercase, generous whitespace.
| Slide | Content |
|---|---|
| 1 | i taught my AI to run 9 projects. here’s what happened. |
| 2 | everyone talks about AI agents. 40% of projects get cancelled (Gartner).1 most demos are vaporware. |
| 3 | 5 weeks ago i asked: what if i taught an AI to remember everything i do? |
| 4 | i taught it to brief me. screenshot of redacted morning briefing. |
| 5 | i taught it to research. screenshot of research.ericsan.io. 53 reports, 20–50 sourced references each. |
| 6 | i taught it to evaluate. 3 chatbots, 14 real customer conversations, data not opinions. |
| 7 | then everything compounded. eval for client A → methodology for client B. WhatsApp engine → pilot infra for 3 B2B clients. |
| 8 | 5 weeks. 2 paying clients. 3 live pilots. 53 reports. 24 commands. 21 skills. 71 contacts tracked. |
| 9 | AI doesn’t replace you. it gives you persistent memory. that’s the actual superpower. |
| 10 | want to see the system? link in comments. |
| Day | Platform | Hook |
|---|---|---|
| 1 (Sat) | Carousel: “i taught my AI to run 9 projects.” | |
| 2 (Sun) | Threads | “i taught my AI to write me a briefing every morning at 8am” + screenshot |
| 3 (Mon) | “a school VP said ‘we want to trial.’ i shipped code the same evening.” | |
| 4 (Tue) | Threads | “everyone asks how i handle 9 projects. the answer isn’t discipline. it’s memory.” |
| 5 (Wed) | “i taught my AI to evaluate 3 chatbots with 14 real conversations.” + screenshot | |
| 6 (Thu) | Threads | “53 research reports in 5 weeks. 20–50 sourced references each. no templates.” |
| 7 (Fri) | “what i learned building an AI operating system for 5 weeks” |
Daily briefing → “what my AI caught that I missed.” New reports → “i taught my AI to research X.” Client milestones → “i taught my AI to solve X.” New capabilities → “i taught my AI to…”
Minimum cadence: 2 posts/week (1 LinkedIn, 1 Threads). 30 min/week using existing material.
The highest-impact format long-term is cinematic build-in-public documentary — filming the actual system in action.
Format: “A Week Inside My AI Practice” — Cursor IDE, daily briefing rendering, research pipeline running, WhatsApp diffs appearing, eval results. 10–15 min episodes. Narrative arc across episodes (like Matt & Ari: “building, launching, pivoting, rebuilding”).
What to show: Screen recordings of the AI working in real-time. The briefing appearing. The eval running. The report deploying. Narrated with the honest tension — what works, what breaks, what compounds.
Why: This is what nobody in HK is doing. The content IS the work. Not content about content. Not advice. Documentary proof that one person can run 9 projects with an AI that remembers everything.
Camera setup or high-quality screen capture workflow. This is a Q2 investment, not this weekend’s move. LinkedIn carousel ships first.
Every claim backed by existing artifacts. Tensions are honest. Nothing stretched — 53 reports sounds unbelievable but all are live at research.ericsan.io.10
Nobody in HK. <5 globally at this transparency level. “Persistent memory” is genuinely different from “I use AI to code faster.” The compound narrative (A → B) defeats the scatter objection.
Comparable solo operators: Aaron Sneed runs 15 custom GPTs from his couch7; Rushiraj Jadeja runs 5 AI agents on a Mac Mini M28; Felix Craft’s OpenClaw agent earned $14,718 in 2.5 weeks.9 Eric’s differentiation: persistent memory across 9 projects, not isolated agents.
Every week produces new material. The spine grows stronger as more projects ship. Compatible with convergence: “I explored 9, converged on 3, and the AI made both phases possible.”
Spine: I taught my AI to run 9 projects. Here’s what happened.
Identity: Founder. Builder. I build AI operating systems.
Hook (15s): i taught my AI to write me a daily briefing from 300 whatsapp messages, track 71 relationships, and run 9 projects. my team costs $0/month.
Ship first: LinkedIn carousel (this weekend). Doubles as content + pre-meeting material for Hampton Thu.
#1 risk: “Nine projects = scattered.” Always pair with compound story.
What makes it undeniable: A client acquired through the content itself — the AI that runs the practice also generates the leads.