You will get a custom video-to-content AI pipeline you own and control
Project details
For teams that need to OWN their content automation — not rent it. we will build you a custom AI pipeline that turns one video into a full, on-brand content set (blog, newsletter, LinkedIn article, social thread, and more) in your brand voice — deployed where you choose and yours to keep.
Built for:
• Agencies that want to white-label content production for their own clients
• Privacy/compliance-bound teams that can't send raw video to a third-party SaaS — runs on your infra, your keys (BYOK)
• Companies that need it wired into their existing CMS/DAM, approval flow, and brand system.
We run this exact system in production at scale — one video → 47+ assets across 10 platforms in 5–10 minutes — so you get a battle-tested architecture, scoped and handed off to you. Prefer it turnkey and hosted instead of owning it? That's our subscription product — just ask and we will point you there.
Built for:
• Agencies that want to white-label content production for their own clients
• Privacy/compliance-bound teams that can't send raw video to a third-party SaaS — runs on your infra, your keys (BYOK)
• Companies that need it wired into their existing CMS/DAM, approval flow, and brand system.
We run this exact system in production at scale — one video → 47+ assets across 10 platforms in 5–10 minutes — so you get a battle-tested architecture, scoped and handed off to you. Prefer it turnkey and hosted instead of owning it? That's our subscription product — just ask and we will point you there.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Content Creation, AI-Generated Video, Automatic Speech Recognition, Natural Language GenerationAI Development Language
PythonAI Models
GPT-4, WhisperWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,500
|
Advanced
$6,500
|
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 30 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | |||
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Frequently asked questions
About Paul
AI Engineer & AI Architect | AI Systems Built to Run in Production
Minneapolis, United States - 1:34 am local time
real edge cases — and quietly falls apart. The hard part of AI was never the prototype. It's
making it survive production. That's the part I build.
I'm an AI architect who designs, ships, and OPERATES production AI systems — not slide decks, not POCs. I founded and built X20 Creative, a live commercial AI platform with real tenants: feed it one video and a 32-agent suite automatically produces 47+ content assets across 10 social platforms in 5–10 minutes — in the creator's own brand voice. Every piece of it runs in production today.
Before X20, I spent a career in senior engineering and architecture roles at College Board,
Cisco, Optum, and Boston Consulting Group, with a UCLA certification in Artificial
Intelligence. I build from first principles for enterprise-grade reliability: deterministic
orchestration where possible, bounded non-deterministic AI only where the rule-space is
genuinely too large to enumerate, with explicit audit trails and per-job cost accounting
throughout.
What I can do for you:
• AI-first product builds — agentic workflows, RAG, automation, human-in-the-loop — blank
page to production.
• AI into your existing product — drafting, classification, search, summarization,
decisioning — without a rewrite.
• Automation that runs itself — ingest → process → generate → publish pipelines with
self-healing, silent-failure detection, and observability built in.
• Media & video lifecycle automation — turn one recording into a full multi-format content
set, automatically (I've built exactly this, at scale).
• AI strategy & architecture — a clear, written plan for what to build, what to skip, and
what it'll cost, before anyone writes code.
Two ways to own it:
• Managed cloud — I run it for you on AWS serverless: elastic, observable, scale-to-zero.
• Independent / BYOK — the same agents on infrastructure YOU fully control: your API keys, your data, your machine, zero vendor lock-in.
How I work: every engagement starts with a scoped, written definition — outcomes,
architecture, trade-offs, on paper before a line of code. You see working software early and
steer at every step. No black boxes.
Because I build on proven, production-hardened agent cores instead of reinventing the
plumbing each time, I deliver faster and cheaper than a from-scratch build — and I pass that on with flat, fixed-price packages so you know the number before we start:
• AI Opportunity Audit — map where AI actually earns its keep, with a prioritized, costed
plan.
• Working Pilot — one real workflow, automated and running, in about two weeks.
• Production Build — full system shipped to production with monitoring and recovery in place.
• Independent / BYOK Deployment — your agents on your own infrastructure, keys and data fully yours.
• Care Plan — I keep it running, watch for silent failures, and iterate.
Hourly ($75/hr) is available for open-ended or advisory work.
If your AI initiative needs someone who can tell you exactly what to do — and build the thing that's still running a year from now — send me what you're trying to accomplish and I'll tell you honestly whether and how AI moves the needle.
Steps for completing your project
After purchasing the project, send requirements so Paul can start the project.
Delivery time starts when Paul receives requirements from you.
Paul works on your project following the steps below.
Revisions may occur after the delivery date.
Scope & define
A short call, then a written definition: outputs, platforms, brand voice, where it runs — plus the acceptance criteria (UAT) we both agree to up front.
Build & calibrate
We build the pipeline and tune it to your brand voice, with a review checkpoint before anything ships.