You will get an AI video pipeline that turns your script into a narrated film

Let a pro handle the details

Buy Generative AI services from Daniel, priced and ready to go.

Let a pro handle the details

Buy Generative AI services from Daniel, priced and ready to go.

Project details

I build the pipeline, not just the video. One Python orchestrator takes a script file and produces the finished film: narration, every visual, motion, the music mix and the final render, in one command. Word-level captions and a vertical shorts cut are a second pass, and they come with the Advanced tier.

That means no footage from you, no stock library, and no editor opening a timeline. It also means the second video costs you almost nothing, because you run the same pipeline again with a new script.

I will tell you plainly what is generated and what is not. The visuals and the narration are generated. A licensed music bed is not, and it gets credited. If a claim about the work would not survive you checking it, I do not make it.
AI Algorithms
Transformer Model
AI Applications
AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Generated Video
AI Development Language
Python
AI Models
Whisper
What's included
Service Tiers Starter
$120
Standard
$280
Advanced
$480
Delivery Time 5 days 7 days 10 days
Number of Revisions
123
AI Model Integration
Batch Normalization
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Database Integration
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Detailed Code Comments
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Image Upscaling
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MLOps
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Model Deployment
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Model Documentation
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Model Monitoring
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Model Testing & Optimization
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Model Tuning
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Natural Language Processing
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NLP Tokenization
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Pre-Training
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Prompt Engineering
Setup File
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Source Code
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Optional add-ons You can add these on the next page.
Additional Revision
+$50
Custom thumbnail
+$20
Alternate narrator voice
+$25

Frequently asked questions

Daniel M.Status: Offline
Daniel M.Status: Offline
AI Video & Data Pipelines That Fail Loudly | Python, FFmpeg
Yavne, Israel - 1:31 am local time
I build AI systems that run unattended in production. Not demos. Shipped systems.

Most "AI video" work stops at a script. Mine ends at a rendered file. I build the whole chain: transcription, content-aware cutting, 9:16 reframing, burned-in word-level captions, batch rendering. Hours of raw footage become publish-ready clips without an editor ever opening a timeline.

On the LLM side I ship agents that survive real users:

- An AI SMS receptionist on Cloudflare Workers running Llama 3.3 70B, holding full conversations in English and Hebrew and capturing structured leads.
- A consumer app that returns per-item calories and macros from one photo, using Mistral Small 3.1 24B vision on Workers AI, with free and paid tiers.
- A nightly data pipeline indexing 416,817 job postings across 9 hiring platforms, published and running on a schedule.

What I do well:

- Whisper + FFmpeg pipelines: content-aware cutting, 9:16 reframe, animated captions, batch rendering
- Production LLM agents and API integration: Cloudflare Workers AI, Llama, Mistral, Claude, MCP
- Large-scale scraping and data pipelines that keep running after handoff
- Full deploy and ownership: Cloudflare Workers, D1, Pages, iOS and Android release

Microsoft certified: MCSA and Azure.

If you have hours of raw footage, or an LLM prototype that needs to handle real traffic, send it over and I will tell you exactly how I would build it.

Steps for completing your project

After purchasing the project, send requirements so Daniel can start the project.

Delivery time starts when Daniel receives requirements from you.

Daniel works on your project following the steps below.

Revisions may occur after the delivery date.

Script read and scene plan agreed

I turn your script into a scene list with a visual prompt per scene, and send it to you before anything renders. Cheap to change here, expensive to change later.

Pipeline runs and the film is delivered

Narration, visuals, motion and the mix are produced in one run. You get the finished file, plus the title, description and chapters written alongside it.

Review the work, release payment, and leave feedback to Daniel.