Season 1: AI Fundamentals · A Never Search Alone Member Initiative

A Data Story

Six weeks. No paid ads. A zoom room full of people who actually showed up. Here's what the data shows.

91
Registrants
96%
Satisfaction Rate
4.8
Post-Program Rating
100%
Want to Continue
$0
Marketing Spend
Demand Signal

91 registrants.
Zero paid marketing.

Every registration came through word-of-mouth. No paid ads, no sponsored posts. Ligaya brought this program to the Never Search Alone community, and the fit was immediate: participants already knew how to learn alongside peers. Signups started in mid-December 2025 and kept coming through the final session in February 2026.

Registration Growth Chart
Funnel Chart
Engagement & Satisfaction

4.47 / 5.0 average helpfulness
across 5 sessions.

Five sessions. 49 feedback responses. Satisfaction held steady throughout. It didn't trail off as the program progressed.

96%
Rated 4 or 5 out of 5, satisfaction rate across all sessions (n=49 responses)
4.47
Average helpfulness rating out of 5.0
4.8★
Post-program overall rating (n=11)
Satisfaction Score Chart
Session Engagement Chart
Attendance Chart
What Participants Said

In their own words.

"

I really had the 'ah ha!' moment with the prompt engineering frameworks.

Participant · Session 1
"

Super clear explanation and demos too, absolutely feel more confident in agent vs. workflow.

Participant · Session 2
"

Really loved all of the speakers and explaining in simple terms the best cases and warnings — really great info.

Participant · Session 1
"

The ability to ask questions in real time — hearing from real-time practitioners.

Participant · Session 4
"

Seeing the real-time demos, from workflows, to vibe coding to the showcase.

Post-Program Survey
"

The speakers were very knowledgeable and provided materials to help explain the basic concepts and building blocks of models and agents.

Post-Program Survey
Retention & Continuation Intent

100% want to come back.
They're already asking about Season 2.

When asked directly, 9 of 11 post-program respondents said “I’m in — let’s keep this going!” The other 2 said they were interested, pending format.

Continuation Intent Chart
Market Expansion Signal

11 topic areas requested.
The demand for Season 2 is already there.

Every two weeks, something new. Freight train. Fire hose. Pick your metaphor. The people in this program felt it, and they came together to help each other keep up. Post-program respondents named 11 topic areas they want to go deeper on, ranging from automation and agents to AI strategy and ethics. The pace of AI isn't slowing down.

Topic Demand Chart
Why This Works

The signal is clear.

The pilot wasn't designed to prove a hypothesis. It did anyway: Bring the right people into the right room, structure it loosely enough to breathe, and they'll teach each other.

Signal Evidence
Product-market fit ✓ Confirmed 96% satisfaction rate, 100% continuation intent from post-program respondents
Organic growth ✓ Confirmed 91 registrants with zero marketing spend. Pure word-of-mouth.
Community moat ✓ Confirmed Repeat engagement, peer learning, and volunteer contributors emerging
Expansion pathway ✓ Confirmed 11+ topic areas requested for Season 2 across technical and strategic domains
The Defensible Advantage

The moat isn't the curriculum.
It's the community.

"In AI, curriculum is obsolete before you finish building it." The only model that keeps up is one where the community is the curriculum. Season 1 proved it holds.

🤝

Community-Led

Peer-led, not guru-led. Ligaya designed the container (the program structure); NSA community members brought the expertise. The peer council philosophy is already embedded in how NSA members operate. It translated naturally into this format. No single expert owns the knowledge. The group does.

🔄

Community-Responsive

Session Zero surfaces what participants already know and what they actually want to learn. The cohort shapes what comes next. Buy-in is built in from the start.

🏗️

Community-Built

A core group of facilitators brought real expertise and showed up reliably. Not because they were paid, but because the program was worth showing up for.

🛡️

SME Guardrails

Subject matter experts set the boundaries. Inside those boundaries, participants explore freely. The result is genuine learning, not just content consumption.

The methodology is the product. Not the content.

To riff on a phrase from Phyl Terry: 'Never Build Alone.'

Replicable  ·  Scalable  ·  Community-native  ·  Grows through word of mouth

Who Is Behind This

Built by someone who lived the learning curve.

Ligaya's career is in learning design and program management. She came to AI the same way most people do: thrown in the deep end, figured it out, and decided to build a program so she and others wouldn't have to do it alone.

🏛️

Community Builder

15+ years designing programs, orientations & alumni engagement. Designs the methodology and program structures that actually move groups toward an outcome.

🎓

Learning Architect

MS in Education. ADDIE frameworks. The science of how people learn and the operational expertise to execute it.

🤖

AI Practitioner

$500K secured for AI-enhanced learning R&D. Led first org-wide AI enablement training (2024). MindStudio Level 3 Certified (2025). Delivering AI workflows and trainings for clients (2026).

🌉

Non-Technical Translator

"I am the audience." Ligaya made AI accessible because she had to figure it out herself.

📋

Program Management Discipline

PMP certified. Managed volunteer faciliators, communications, and data tracking. Tracked registration, attendance, satisfaction, and continuation intent at every stage. Used continuous feedback to drive improvements.

💼

Proven Track Record

$8M+ in secured U.S. government contracts for education programs. Not a side project. A continuation of a career that has consistently delivered at the program level.

What's Next

Season 2 is coming.
The topic: Agents.

Season 1 covered the fundamentals. Season 2 goes deeper: into how AI agents actually work, how to design them, and what it means to work alongside them. Same peer-learning container. New territory.

Season 1 • Complete
AI Fundamentals
Get notified about Season 2