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The System That Builds Your Content While You Sleep

The smartest founders aren’t asking “how do I use AI better?”
They’re asking “how do I build systems that run my business while I sleep?”

Last week, the ground shifted. Not because of a “smarter model” that writes cleaner emails, but because AI can now think in steps, call tools, and operate the way humans do (only faster, cheaper, and at scale).

This is the moment AI stopped being a chatbot and became an operator.

The first sign was Claude Sonnet 3.5, the first model that could reliably use tools without breaking. That was AI’s Stone Age moment, the leap from thinking in words to thinking with instruments. A year later, the rest of the field caught up.

Now we have GLM 4.5 and Kimi

K2 (both free and open source) and finally, GPT-5… the first OpenAI model that can match them.

Today I'm walking you through a complete system I built that creates professional brand videos at a fraction of the cost of hiring human creators. You input a brand brief, it outputs finished video content ready for publication.

And I'm giving you the entire system for free (link at the bottom).

GPT-5 on ChatGPT launched with a routing system. We actually pitched OpenAI on a different system months ago. Same routing backbone, but with full operator control. Our design would have given technical users control over modeling and reasoning, and auto routing for non-technical people.

The Perfect Storm: Three Releases That Stack

Last week didn't just belong to OpenAI.

While everyone focused on GPT-5, two other releases quietly solved important creative production bottlenecks and are perfect tools for our brand building AI workflows:

Ideogram Launched A Character Reference API: Finally, you can create consistent characters from a single photo. For the last year we’ve been creating bespoke LoRa’s to train image models on characters or products. But now, you can do this with one-reference input image. Same face, hair, style. product across unlimited scenes, all via via API.

Veo 3 Image To Video: Google's text-to-video with synchronized audio, natural motion, and image-to-video and reference image conditioning support via the API. Fast and Quality modes are both available via API.

You can now build content engines that:

  • Turn brand briefs into finished videos in 24 hours

  • Create consistent brand characters from a single photo

  • Generate professional-quality content at 90% cost reduction

  • Scale systematically without hiring more people

This isn't about replacing human creativity (far from it). It's about replacing human labor in the parts of content creation that don't require human judgment.

I’m very excited to have this email sponsored by Roku. I’m a big Roku supporter, I buy them for family members, and I own about a dozen Roku boxes and Roku TVs (for myself and my investment properties). They are awesome. They are friction-less. Big shout out to Roku (and go watch their Weird Al movie, I loved it).

Find your customers on Roku this Black Friday

As with any digital ad campaign, the important thing is to reach streaming audiences who will convert. To that end, Roku’s self-service Ads Manager stands ready with powerful segmentation and targeting options. After all, you know your customers, and we know our streaming audience.

Worried it’s too late to spin up new Black Friday creative? With Roku Ads Manager, you can easily import and augment existing creative assets from your social channels. We also have AI-assisted upscaling, so every ad is primed for CTV.

Once you’ve done this, then you can easily set up A/B tests to flight different creative variants and Black Friday offers. If you’re a Shopify brand, you can even run shoppable ads directly on-screen so viewers can purchase with just a click of their Roku remote.

Bonus: we’re gifting you $5K in ad credits when you spend your first $5K on Roku Ads Manager. Just sign up and use code GET5K. Terms apply.

The System: Brand Brief to Published Video in 24 Hours

I built this to test GPT-5 and to prove the economics work. Now you can copy the entire system.

The goal was simple. Turn brand context and competitor signals into shippable creative assets. Everything from hooks, consistent-character images, and short-form videos, all made entirely through API calls.

The economics work. Each complete video asset costs $12 to $50 in API costs. You can deploy in one day. You can scale to 10 to 50 hooks per ICP every week.

Inside the Content Engine

Think of the architecture like a five-person creative team. Each role has one job. Each role is an API.

The BrainThe Director
This is GPT-5 running orchestration. It does not “do” the creative work. It decides the sequence of tasks, passes the right data to the right specialists, and keeps the budget in check.

The EyesThe Market Analyst
We scrape competitor and creator content from TikTok and Instagram. The Eyes watch for what is performing right now (not last quarter) and tag every asset with engagement data, memes, and context. This is the real-time creative intelligence feed.

The VoiceThe Brand Strategist
The Voice takes brand samples, ICP notes, proof points, and constraints, then distills them into a brand compass. This is how the system knows your tone, what you can claim, and what absolutely must be avoided.

The HandsThe Production Crew
Ideogram Character locks in consistent identity across scenes from a single reference photo. Veo 3 takes those scenes and turns them into short-form video with synchronized audio and natural motion. The Hands never sleep and never go over budget.

The MemoryThe Archivist
Every decision and output is written into structured JSON contracts: brand_profile.json, hook_corpus.jsonl, character_profile.json, and video_manifest.json. This lets you reproduce any creative asset exactly, scale it across campaigns, and run A/B tests without creative drift.

How It Runs in the Wild

Picture this like a creative factory where every station is an API, and every worker is the best in the world at one specific job.

Step 1: Brief In
A brand drops their creative brief into the system. The Brain reads it, loads the brand_profile.json, and locks in voice, ICP, and constraints before anything moves forward.

Step 2: Market Check
The Eyes sweep TikTok, Instagram for top-performing posts in that niche. It pulls engagement numbers, captions, and key frames, then tags everything with patterns and meme markers.

Step 3: Voice Alignment
The Voice takes the winning hooks and rewrites them in the brand’s exact style. It adjusts tone, language, and claims so every hook feels like it came from the same creative team.

Step 4: Scene Blueprints
The Brain hands each hook to the Hands with strict JSON specs — where the scene is set, what props are visible, how the composition works, and how long each moment lasts.

Step 5: Pixel Production
The Hands call Ideogram Character to generate consistent visuals, then send those to Veo 3 for video assembly. Fast mode for testing, Quality mode for final delivery.

Step 6: Archive and Ship
The Memory saves every asset, spec, and result into structured contracts. You can clone a winner instantly, A/B test it, or scale it across multiple campaigns.

The whole cycle runs in hours, not weeks. And because every role is purpose-built, the cost stays between $12 and $50 per finished asset, no matter how many you produce.

Why This Window Won’t Stay Open

Every competitive advantage has a shelf life.

Right now, most folks are still thinking about AI as a way to get a few tasks done faster. A bit of copywriting here. An image or video there. They are optimizing for cost per asset.

The real shift is in cost per unit of intelligence.

Tool calls (not just prompts) let AI systems chain together capabilities, think in steps, and operate across tools like databases, search, design software, code sandboxes, and publishing APIs.

This is where you move from “AI that helps” to AI that runs the system.

When you connect tools like GPT-5, Ideogram Character, Veo 3, analytics APIs, and your internal data, you are not just automating tasks. You are building an operational advantage, a stack that thinks, acts, and learns at a fraction of the old cost.

The companies building these systems today have 6 to 12 months before this becomes baseline.

So what happens next:

  • AI-powered systems become embedded in every competitive business function (not just marketing)

  • Speed, iteration, and decision-making become the only real differentiators

  • Businesses without systems get outpaced by those with them

  • Teams shift from manual execution to system design, orchestration, and optimization

If you are serious about scaling intelligently:

  1. Map one AI-powered workflow in your business that connects multiple tools and delivers measurable output.

  2. Test it. Build in-house if you have the skill set, or partner with a team that knows how to design and run these systems.

  3. Scale your best workflows across the highest-value areas of the brand.

The technology works. The economics are proven. The advantage is real.

Bottom line: AI tool orchestration is not replacing people. It is changing what the best people and teams spend their time on. The winners will be brands that design systems where humans set direction and AI handles the repetitive, scalable execution.

Get the system — [GitHub Repository Link]. This release is the core scaffolding, fully open source and extensible. It works, but it’s pre-production (perfect for builders and early adopters). We’re moving quickly to harden it and make it turnkey for non-technical teams.

If this newsletter lit a fire under you, forward it to one person who would benefit.

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