AI Video Production and Knowledge

AI video is getting better fast. But it is also very easy to waste money on subscriptions, credits and failed generations.
In this free practical 1-hour webinar, I’ll show you how I approach AI-video production with a focus on quality, control and cost.
What we’ll cover

• Which AI video tools and models are actually worth using — and how they differ
• How to choose the right model for a specific shot, rather than defaulting to the most expensive one
• A practical production workflow:
  Idea → Shot Plan → Reference Frames → Video Generation → Iterate → Assemble
• How ChatGPT, Codex and Claude can help with planning, prompts and production workflow
• A real low-cost workflow that can be run with a setup costing $9/month + GPT Plus
• The most common mistakes that waste credits — and when to change the prompt, reference, model or shot itself

I’ll also walk through a real example and show how I would build a short AI video step by step.
Who is this for?
This session is useful if you:

• are completely new to AI video
• already use AI or code and want to understand video generation
• already create AI video but want a more structured and cost-efficient workflow

No coding experience is required.
Format
Live online
Approximately:

• 45 minutes of practical explanation and demonstrations
• 15 minutes of live Q&A

Registered attendees will also receive the tool links, example prompts and resources used during the webinar.

Primary registration place is at https://luma.com/uzevlpid but you will get connection link any way.

The goal:
By the end of the session, you should have created your own short AI video and understand how to repeat the process for your next project.
Registration is obligatory on Luma: https://luma.com/1oxqas09

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AI video tools are powerful, but for beginners the hardest part is usually not pressing Generate.
It’s knowing:

• where to start
• which tool to use
• how to turn an idea into something a video model can actually execute
• when you need reference frames
• how to fix bad generations
• how to turn separate clips into one coherent result
• and how to ensure it will not eat whole subscription (or several) for one shot

This is a 3-hour live hands-on workshop designed for people who want to stop experimenting randomly and learn a practical AI-video production workflow they can reuse.
You’ll work through the process step by step:
Idea → Shot Plan → Reference Frames → Video Generation → Fix & Iterate → Assemble

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## Who is this for?

This workshop is a good fit if:

• you are new to AI video
• you have tried one or two video-generation tools but don’t yet have a clear workflow
• you use AI casually but have never built a complete AI video
• you are a creator, marketer, educator, designer, filmmaker, founder, or simply curious about practical AI video production
• you want to understand the workflow instead of jumping between random tools and prompts

No coding experience is required.
This is not a coding workshop.

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# What you’ll learn

1. Turn an idea into a workable video plan
Start with a simple concept and break it into realistic shots instead of asking one model to create everything at once.
2. Create useful reference frames
Learn when to use:

• first frame
• last frame
• intermediate references
• image-to-video
• text-to-video

3. Choose the right generation approach
Understand how to decide which tool/model is appropriate for a particular shot instead of choosing only by popularity or price.
4. Generate your shots
Build several short video segments using your references and prompts.
5. Fix failed generations
Learn how to identify whether the problem is:

• the prompt
• the reference frame
• the amount of action in the shot
• camera movement
• the chosen model

6. Assemble the final video
Bring your generated clips together into one coherent short video and understand the basic finishing workflow.

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# What participants should bring

• a laptop
• one simple idea for a 10–30 second video
• willingness to experiment

You do not need to prepare prompts or reference images in advance.

***

Note:

> AI generation is probabilistic, so not every generation will work on the first attempt. Part of the workshop is learning how to diagnose and improve failed results rather than expecting every prompt to succeed immediately.

***

# What participants leave with

You’ll leave with:

• a new hands-on skills
• your own short AI-video project
• a repeatable production workflow
• example prompts and templates
• a tool/model reference list
• access to the workshop resource page

The goal:
By the end of the session, you should have built your own short AI video and a master practical AI code-assisted workflow you can reuse for future projects.

Registration must be done on https://luma.com/g1fhcb3r

You’ll work through the process step by step:
Idea → Shot Plan → References → Generation Workflow → Generate → Diagnose → Iterate → Assemble

AI video production introduces a different set of problems than normal software or AI development.
It’s not only about calling a model.
It’s knowing:

• how to turn an idea into a structured set of shots
• how to create and manage reference frames
• how to choose the right generation model for each shot
• when to use UI tools and when code is more efficient
• how to organize prompts, assets, settings and outputs
• how to automate repetitive generation steps
• how to tune based on failed generations to reduce # of iterations

This is a 3-hour live hands-on workshop designed for developers and experienced AI users who are new to AI video production and want to build a more systematic, repeatable workflow.

Who is this for?
This workshop is a good fit if:

• you are comfortable with Claude, Codex, or other AI development tools
• you already build software or AI workflows but are new to AI video
• you want to be able build qualitative video without spending days to try different services
• you want to reduce cost of video generations
• you are interested in APIs, automation and repeatable production workflows

Vide coding experience is recommended.
This is not a beginner coding workshop. The focus is practical AI video production using Codex or Claude as part of the workflow.

What you’ll learn
1. Design an AI video as a production workflow
Turn an idea into clear shots, references and generation tasks instead of treating the whole video as one prompt.
2. Build and manage reference assets
Structure first/last frames, prompts, settings and outputs so they can be reused and iterated efficiently.
3. Choose between UI, API and code
Learn when a visual tool is faster and when code gives you better control, lower cost and repeatability.
4. Build generation workflows with Codex or Claude
Use AI coding tools to prepare generation requests, call APIs, organize assets and reduce repetitive manual work.
5. Diagnose failed generations
Identify whether the problem comes from the prompt, reference, model, shot complexity, motion or generation settings — and change the right thing.
6. Automate repetitive production steps
Create a more efficient workflow for repeated generations, asset organization and iteration.
7. Assemble the final video
Bring generated shots together into one coherent short video and understand where automation can help with finishing.

What participants should bring

• a laptop
• access to Codex, Claude or your preferred AI enabled coding environment
• one simple idea for a 10–30 second video
• willingness to experiment with different models and workflows

You do not need to prepare scripts, prompts or reference images in advance.

Note
AI video generation is probabilistic. Even a well-designed workflow will sometimes produce failed generations. Part of the workshop is learning how to diagnose the problem, change the right variable, and make the iteration process faster and more systematic.

What participants leave with
You’ll leave with:

• new hands-on AI video production skills
• your own short AI-video project
• a repeatable Codex/Claude-assisted production workflow
• example scripts and workflow patterns
• reusable prompt and reference structures
• a practical model/tool selection framework
• a more organized way to manage assets and outputs
• access to the workshop resource page