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You will get an automated AI content pipeline posting daily to your platforms
Project details
A content SaaS rents you a machine. This is the machine, built in your accounts, running on your keys, owned by you.
Script in, posts out: the pipeline turns your raw material into platform-native posts with captions written for each feed, scheduled one per day, hands off. On the top tier it produces the video too: AI voiceover with word-level timestamps, assembly to vertical format, burned captions, finished files.
It is the same design I run for my own brand, posting daily across four platforms while I sleep. Everything is built dry-run first, so you inspect real output before anything touches a live account, and the whole system hands over with a written playbook. Running cost after handoff is API usage, typically far below one month of the SaaS subscription this replaces.
Cadence is deliberately one post per day per platform: steady, human-paced, and safe for the accounts. If you want a spam cannon, this is not it. If you want an owned content machine that still looks and sounds like you, it is.
Script in, posts out: the pipeline turns your raw material into platform-native posts with captions written for each feed, scheduled one per day, hands off. On the top tier it produces the video too: AI voiceover with word-level timestamps, assembly to vertical format, burned captions, finished files.
It is the same design I run for my own brand, posting daily across four platforms while I sleep. Everything is built dry-run first, so you inspect real output before anything touches a live account, and the whole system hands over with a written playbook. Running cost after handoff is API usage, typically far below one month of the SaaS subscription this replaces.
Cadence is deliberately one post per day per platform: steady, human-paced, and safe for the accounts. If you want a spam cannon, this is not it. If you want an owned content machine that still looks and sounds like you, it is.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Content Creation, AI Text-to-Speech, AI-Generated Video, Natural Language Generation, Speech SynthesisAI Models
ChatGPT, GPT-3, GPT-4, OpenAI CodexWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$2,900
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$300 - $750
Additional Revision
+$150
Additional Platform
(+ 3 Days)
+$450Frequently asked questions
About Michael
Claude Code Expert | AI Agents, Automation & Production SaaS Builds
Joliet, United States - 11:07 pm local time
Most "AI developers" will show you a demo. I will show you deployed products, the GitHub history behind them, and the public operations repo that documents exactly how I work (claude-code-operations on GitHub, linked in my Portfolio): hooks that block commits while tests are red, build gates, CLAUDE.md templates, and honest war stories about what the agent got wrong and how I caught it.
The portfolio is new; the practice is not. I have been automating businesses since the early 2010s (sites that auto-generated YouTube content years before LLMs existed) and delivering paid client work: landing pages, review funnels, and call-generation campaigns for local businesses. The agent era gave a long practice better tools.
WHAT I BUILD
- Production web apps and SaaS MVPs: Next.js, TypeScript, Supabase (Postgres with row level security), Stripe subscriptions and checkout, Resend email, deployed on Vercel with CI.
- AI automations with Claude Code: skills, hooks, MCP integrations, scheduled autonomous tasks. Measured on production systems, not demos.
- Content pipelines: script to finished vertical video (ElevenLabs voiceover, ffmpeg assembly, burned captions) posting daily across YouTube Shorts, TikTok, Instagram Reels, and Facebook.
- Outbound/GTM engines: lead scraping, deterministic tiering, personalized first lines anchored to real prospect data, deliverability done right (plain-text parts, warmed domains, CAN-SPAM).
- Claude Code setup and training for teams: CLAUDE.md authoring, skill design with output contracts, hook-enforced test discipline, model routing so you stop burning expensive tokens on cheap jobs.
HOW I WORK
- Machines, not memory: every rule that matters is enforced by a gate. My commit hook runs the full test suite before any commit lands; red output blocks the commit.
- Test-first on real code: my repos show red-green commit histories, including a Fair Housing guard bug I caught with characterization tests on a live product.
- Security by default: secrets in env (never in the tree), server-side paywalls, signed sessions, RLS-on databases, no-enumeration auth flows.
- Honest communication: when something is harder than expected, you hear it early. My proposals say what I will NOT do just as clearly as what I will.
RECENT PROOF
- LaunchedListing: listing marketing SaaS, live.
- Software Is Not the Agency: a $47 Stripe-gated reader portal, migrated off a dying no-code platform before the 5 day deadline with zero buyer downtime.
- CI on my core product runs lint, 44 tests, and a full production build on every push, green, no secrets required (the app degrades gracefully by design).
- Aviatrix Certified Engineer, Multicloud Network Associate (current through Oct 2027): the networking and infrastructure fundamentals are certified, not claimed.
If you want an engineer who happens to use AI, there are thousands here. If you want the system that makes AI-written code safe to ship, that is what I do all day.
Steps for completing your project
After purchasing the project, send requirements so Michael can start the project.
Delivery time starts when Michael receives requirements from you.
Michael works on your project following the steps below.
Revisions may occur after the delivery date.
Intake and Pipeline Plan
You share platforms, voice examples, and content sources. I send back the pipeline design and the exact list of accounts you will own.
Build In Dry-Run
The full pipeline is built and run end to end in dry-run mode: you inspect real generated posts and captions before anything touches a live account.