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Issue 01·P2P AI Lab · Founding Press Run
VJVAN.COM · Issue 01Prompt → Pixel

One person. One system. A repeatable video practice.

P2P AI Lab is a business technology academy for professional creators, agency owners, consultants and indie founders. YunLei guides you through a Prompt to Pixel production system you can save, improve, and test in content and client-project contexts. Results depend on your work, market, and execution.

Join the Waitlist→See 11 modules↓
By the editorThe curriculum draws on YunLei’s content-production and real project experience. Client-system implementation methods are not disclosed on this public page.Built by vjvan.com
§01— Story

What does Prompt to Pixel mean

P2P is not just an abbreviation. It is the full production chain of AI video — and the spine of this curriculum.

Starts with a sentence

Prompt

Everything starts with text. A description, a script, a story concept. No camera rig. No editing skills. You only need to be able to say what you want.

Character consistency, solved

Image — consistent visual assets

Build reusable visual asset sets so the same character and brand style can carry across multiple content scenarios.

The public outline describes the outcome; internal connections between tools remain inside the course material.

Animate, edit, overlay — in code

Video — motion and branded editing

Practice turning visual assets into motion, applying a consistent brand layer, and preparing voice-over content through a repeatable production process.

Ship to the feed

Pixel — IG · TikTok · Shorts

The final output lands on IG Reels, TikTok and YouTube Shorts. Every pixel is the result of a repeatable production practice. The weekly plan helps you test a sustainable publishing pace; output still depends on scope, tools, and execution.

You are not watching tutorials. You are learning how to run an AI video production line you can turn into a business.

— YunLei · Editor, P2P AI Lab
§02— Commitment

Why P2P AI Lab is worth US$99

Three learning supports: practical feedback, project files, and a path to test commercial applications.

Clausei.

Guided delivery

Every module includes a hands-on assignment and feedback from YunLei and community peers, so you can identify a concrete next step.

The learning goal is to build a runnable practice workflow, edit a publishable video, and create an asset you can keep improving. Learning and revenue outcomes depend on your effort, work quality, market, and execution.

ReviewVan + Peer
OutputPublish-ready
Clauseii.

Commercial technology

What you learn is not demo-ware. Every workflow, every code sample, every skill in this curriculum comes straight from the same tools YunLei uses every day to serve paying clients.

The curriculum applies system-design lessons from real projects, but it does not include private client methods for LINE, ERP, data mapping, or exception handling.

SourceLive client work
LicenseUse in your own business
Clauseiii.

Earning path

Module 10 delivers the exact SOPs: a client pricing sheet, a proposal deck template, a discovery call script, a delivery & acceptance workflow.

The community plans practical discussion and student portfolio spaces for peer learning. These resources do not guarantee leads, closed deals, or revenue.

Module 10Pricing · Proposal · Delivery
CommunityPractice · Portfolio · Peers
§03— Problem

Sound familiar

If you have thought about quitting content because the toolchain feels broken — P2P AI Lab is built for you.

  • A dozen AI tools open, nothing connected. Every video starts from scratch.
  • CapCut takes an hour per voice-over — you can’t keep up with your own cadence.
  • Veo / Runway give inconsistent characters. Your hero looks different every take.
  • Remotion and Claude Code feel impossible without a coding background.
  • You want to scale output — and solo it feels physically impossible.
§04— Solution

The pipeline I use every day

Not a course stitched from public blog posts — the actual video production line behind vjvan.com and my consulting work.

I spent six months integrating Claude Code, Weavy.ai, fal.ai, Veo 3.1 and Remotion into a single automated pipeline. Raw prompt goes in. A publishable short video comes out.

Now I am opening the entire pipeline to you inside P2P AI Lab. Not theory — real code, real workflows, real published output.

§05— Outputs

What you walk away with

Not completion badges — actual assets you can use tomorrow.

  • A runnable practice environment using the listed course tools.
  • A voice-over auto-edit flow that turns long-form recordings into polished cuts.
  • An automatic bilingual subtitle pipeline with proper-noun correction.
  • A Weavy.ai node workflow producing 10–20 reference images per run.
  • A Veo 3.1 image-to-video prompt system that animates Weavy assets.
  • A reusable brand visual kit — intros, outros, transitions, lower-thirds.
  • A traceable automated delivery workflow.
  • A weekly publishing plan — 3 to 5 publishable shorts per week.
  • Three monetization paths: client services, productization, teaching.
§06— Curriculum

11 modules · 49 units · zero to production

Modules ship progressively. Founding Members get every new module the moment it lands.

Module 0 · 3 units
Environment Setup (free preview)
Outcome: A working AI video environment
Module 1 · 4 units
The AI Video Pipeline Landscape
Outcome: Your personal pipeline blueprint
Module 2 · 5 units
Automated Voice-Over Editing
Outcome: First auto-edited voice-over video
Module 3 · 5 units
Subtitle Automation
Outcome: Subtitled voice-over with dictionary correction
Module 4 · 4 units
AI Sticker B-Roll
Outcome: Voice-over with AI overlays
Module 5 · 6 units
Weavy.ai Node-Based Image Workflows
Outcome: 10–20 consistent assets per run
Module 6 · 5 units
Veo 3.1 Generative Video
Outcome: 3 generative shorts with a consistent hero
Module 7 · 5 units
Remotion Programmatic Video
Outcome: Reusable brand intro module
Module 8 · 4 units
Pipeline Automation
Outcome: Traceable automated delivery workflow
Module 9 · 4 units
Content Strategy & Distribution
Outcome: Weekly plan + first batch of real posts
Module 10 · 4 units
Monetization (advanced elective)
Outcome: Pricing / product / teaching plan
§07— Proof

What I have actually built

Four real case studies — not demos, not theory.

Case 01 · Skill
Voice-over auto-edit pipeline
A repeatable voice-over post-production workflow, from raw material to a publishable result.
Case 02 · Client
B2B Restock (Food Wholesale)
LINE in-app self-serve ordering turns scattered requests into one traceable work record. This anonymous case publishes outcomes and responsibility boundaries only.
Case 03 · Brand
vjvan.com
Personal brand site on Next.js 16, Tailwind 4, MDX. Shipped with full brand redesign and SEO/AEO optimization.
Case 04 · Pipeline
AI Video Studio
Technical showcase integrating fal.ai, Remotion and Claude Code into one automation pipeline.
§08— Audience

Who this is for

Premium — for people turning AI video into a business asset.

Right fit
Agency / studio owners
Scale client delivery with one pipeline across many engagements.
Right fit
Personal brand operators
Already monetizing content, monthly content budget US$500+.
Right fit
AI / automation consultants
Need video assets to demo work and pitch proposals.
Right fit
Freelancers (US$50+/hour)
Buying efficiency leverage so each billed hour delivers more.
Right fit
Solo operators
Willing to invest in a system, not just another tool.
Right fit
APAC + global bilingual
Taiwan, Malaysia, Singapore, HK, global English speakers.
§ 09 — Founding Offer

First 100 Founding Members, price retained while continuously subscribed

Founding Member · Monthly
US$49/ month
US$99 / month · 50% off · price retained while subscribed · first 100 only

Annual option: US$490 / year (10 months equivalent; price retained while continuously subscribed). Skool processes all payments in USD via Stripe; your bank handles the local conversion automatically.

Evaluate the membership alongside your own project income, learning time, and tool costs. The course provides technical and commercial practice; it does not guarantee payback, client work, or revenue.

SeatsFirst 100 only
01 · Plan
Founding Member (first 100)
02 · Monthly
US$49 / month
03 · Annual
US$490 / year
04 · Standard
After 100 seats: US$99 / US$990
05 · Access
Skool community + Van Q&A
06 · Cancel
Cancel anytime · refund requests reviewed by VJVAN
YunLei · vjvan.comEditor · AI Business Systems Architect
Join the waitlist for launch access →
§ 10
Enrolment

Join the Waitlist

Join now; the free Module 0 preview will be sent when it is ready, followed by launch access when doors open.

No spam · unsubscribe anytime · Founding Member link on launch day
§11— FAQ

Common questions

Anything not here? Email vjvan.n@gmail.com.

Q01

I have never written code. Can I still follow this course?

You can start without a programming background. Module 0 covers the basic setup and uses Claude Code to help you understand and adapt examples. You will still need to follow the instructions, troubleshoot environment differences, and complete the exercises.

Q02

What paid tools do I need outside the course?

fal.ai usage (typically US$5–$20/mo), a Claude subscription, Weavy.ai, Notion free tier, ffmpeg (free), Remotion free tier. P2P AI Lab membership is separate from tool subscriptions.

Q03

Will the whole course be released at once?

No. Content is planned to release progressively, at roughly 1–2 new episodes per week, plus live Q&A. The course will be updated as tools and real project experience evolve, but interfaces can still change between updates.

Q04

I already know CapCut. Do I need this?

CapCut solves single-video editing. P2P AI Lab solves the entire production pipeline. One video per week? CapCut is probably enough. Three to five without being bottlenecked? This pipeline is for you.

Q05

Can I use Windows?

Yes. Demos use macOS, but Claude Code, ffmpeg and Python all run on Windows via WSL. You may need to handle small environment differences yourself.

Q06

Refunds and cancellation?

Cancellation does not automatically create a refund. Send refund requests to vjvan.n@gmail.com; VJVAN reviews them case by case based on actual use. Approved refunds are processed by the admin through Skool to the original payment method. After cancellation, access continues until the current billing period ends. Module 0 (three units) is planned as a free preview and will be sent to waitlist members when ready.

Q07

Does the Founding Member price stay fixed while I remain subscribed?

As long as you remain subscribed, US$49 / month or US$490 / year stays valid. If you cancel and re-join later, you'll pay the standard price (US$99 / month or US$990 / year) at that time — the Founding seat is not reserved. This is Skool's grandfather pricing mechanism; it's not something I can override.

Q08

Will the course be updated?

Yes. Bonus modules are updated as tools and real-world cases evolve. Founding Members can access new content while their subscription remains active; access ends after the current billing period when they cancel.

Q09

Can I try one lesson before joining?

Yes. Module 0 (three units) is planned as a free preview. Join the waitlist and you will receive the link when the content is ready.

Q10

I am based outside Taiwan. Can I join?

Absolutely. P2P AI Lab is bilingual by design — English + Mandarin discussion channels and dual-language content. Pricing is USD-based for easy international checkout.

Q11

Can I realistically land client work after this?

Module 10 provides a pricing template, proposal deck, discovery call script, and delivery workflow, while the community plans practical discussion and portfolio spaces. These resources help you prepare and test a client-work process; leads, closed deals, and revenue still depend on your work, market, and execution.

Q12

Can I use this pipeline to serve my own clients? What about licensing?

Yes, encouraged. Every workflow, code sample and prompt system can be used in your own client work — no additional licensing fee. The only restriction: you cannot resell or publicly share the course content itself (videos, documents, community discussions).

Q13

How is this different from a US$10–$30 AI video course?

Three differences. Delivery model: personal + peer assignment review, not passive consumption. Technology content: a structured production system based on real project experience, not surface-level overviews. Business support: Module 10 + community helps you test how the skill could support client work. US$99 bundles technical instruction, guided delivery, and a community focused on commercial application; it does not guarantee revenue.

Ready to run your Prompt to Pixel pipeline

Only 100 Founding seats. Join the waitlist — you’ll be first in line on launch day.

Join P2P AI Lab Waitlist →

P2P AI Lab · Issue 01 · Founding Press Run

Edited and engineered by YunLei (Van) at vjvan.com.

Typeset in Instrument Serif, Noto Serif TC, Inter Tight and JetBrains Mono.

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