Social Media OS — Your Content Engine
This proposal deploys the same content engine you saw on the call, under your accounts, calibrated to your voice, ready to run the day after handover. Idea capture, hook vault, multi-platform repurposing, competitor intelligence, scheduling and review, all in one place, with a Claude integration so you can drive the system from the chat window you already work in.
What you walked through on the call
Seven moving parts. Plug-and-play deploys all of them.
- 1. Idea and hook vaults — the database your Notion currently is, but native to the engine that uses it
- 2. Inbox — human-in-the-loop review of every generation before anything ships
- 3. Repurposing engine — one source piece, twelve platform-native variants
- 4. Competitor intelligence — their long-form content scraped, transcribed, and analyzed for hooks and patterns
- 5. Carousel and short-form video generation tied to your brand system
- 6. Multi-platform scheduling and publishing through one centralized rail
- 7. Claude integration — drive the whole system from the chat window you already work in
The engine is already in production. We use it ourselves to run Node's content. Plug-and-play means we deploy it under your accounts, point it at your brand, seed it with your best-performing past work as exemplars, and hand you the keys. The same setup we use for our own content, calibrated for yours.
You've built a real ghostwriting practice on top of disciplined research, custom Claude workflows, and a tested writing process. The craft is solid. What's holding back the next step is leverage: how much output the same hour of your time produces, and how much of that output reaches your clients' audiences across the channels they actually care about.
Strengths
- A working content process you've already tested. Research feeds an ideas database, ideas get tested as short-form on X, winners expand to LinkedIn, the best of the week becomes a newsletter. The flow works. It just doesn't scale.
- Sophisticated writing taste and prompt engineering chops. You're already getting professional-grade output from Claude with custom prompts you've spent months building. That's a multiplier we can plug straight into the engine instead of replacing.
- Clients who would pay more for more. Ghostwriting clients are paying for written words on a platform or two today. The same client paying for the same voice, repurposed cleanly across twelve platforms, is a different price point entirely.
But three bottlenecks cap the operation right now.
Limitations
- Repurposing is currently the most expensive thing you do. A great LinkedIn post should become a thread, a carousel, a Reel script, a YouTube short, a Pinterest pin, a newsletter section. By hand, you do three of those. The other nine never happen because the marginal hour costs too much.
- Scheduling and distribution sit outside your writing tool. Every new platform adds a new dashboard, a new posting window, a new format spec. The cost of going from three platforms to twelve isn't 4x; it's closer to 10x in operational overhead if you do it the manual way.
- Idea capture and competitor research live in separate tabs. Buzz Sumo here, Notion there, client interview transcripts somewhere else. The thinking happens; the connection between thinking and writing happens in your head. That doesn't transfer when you hire your first writer.
- Hiring is a forcing function. The moment you hire a writer or editor, every undocumented step in your process becomes a training cost. The system documents the process by being the process. A new hire onboards into the engine, not into your head.
Opportunities
- Twelve-platform repurposing as a product. The same writing, distributed across the platforms each client cares about, without you doing the cuts. That changes what you can charge for the same retainer.
- Per-client brand DNA, captured once and applied everywhere. Each client's voice, hook patterns, content pillars, and approved exemplars stored as structured context the engine pulls from on every generation. Voice consistency stops depending on whoever's writing that day.
- Hires earn back faster. A writer plugged into the engine is reviewing and editing, not researching and drafting from scratch. The first hire's break-even point gets earlier, and the second one becomes possible.
- You already use Claude all day — the engine talks to it natively. The MCP layer means the same chat window you draft in can read your idea vault, pull your top hooks, search your competitors, and drop generations back into the system. No context-switching.
The same content engine you saw demoed, deployed under your accounts and calibrated for the way you already work. Three layers. One workspace. One Claude connection.
The Engine
Layer 1 · Capture & Organize
The thinking lives where the writing happens
- Idea vault for high-level concepts and notes, the role your Notion DB plays today, integrated with the generation pipeline so a saved idea is one click from a draft.
- Hook vault for proven openers, tagged by pillar, platform, and angle. Hooks fed directly into the prompt context whenever a new piece of content is generated, so the engine never starts from a blank page.
- Source ingestion from RSS, podcast feeds, YouTube, and competitor channels. New material lands in the inbox already classified, with the angle pre-suggested.
Layer 2 · Generation & Repurposing
One source piece, twelve platform-native outputs
- Brand-aware generation grounded in your highest-performing past work, your stored hook library, and your content pillars. Voice consistency stops being a function of who's at the keyboard.
- Multi-platform repurposing from any source: a newsletter becomes a thread, a carousel, a Reel script, a YouTube short, a Pinterest pin. The platforms are configurable; the long tail of formats your competitors don't bother with is exactly where the unfair leverage lives.
- Carousel and short-form video generated against your brand system: design tokens, fonts, colors, layout language all calibrated once and applied automatically. We're plugging this directly into Claude's design layer, so generation costs fall further as the integration matures.
- Inbox review on every generation. Nothing publishes without your sign-off. The model drafts; you approve, regenerate, or edit. The engine does the boring 80%; you keep the 20% that decides whether the post lands.
Layer 3 · Distribution & Intelligence
One scheduling rail, every platform you care about
- Multi-platform scheduling through a single centralized publishing layer: one queue, one calendar, no logging into eight dashboards. Every new platform is a configuration, not a project.
- Competitor intelligence across the creators in your scene. Their posts and long-form content scraped automatically, transcribed where relevant, analyzed for hooks, formats, post types, and pillars. The intelligence feeds back into your own generation prompts, so you stop guessing what's working in your category.
- Performance feedback loop. Posted content's actual performance flows back into the engine. The hooks that landed get weighted higher in future generations. The engine gets sharper the longer it runs.
- Native Claude integration. The whole system is reachable from the Claude chat window you already work in. Ask for the top performers of the week, generate a carousel from a new idea, queue tomorrow's posts, all from the same conversation.
The Outcome
The hour of your time you currently spend on three platforms produces output across twelve. The marginal cost of adding the next platform drops from "an evening" to "a configuration." Voice consistency is no longer a personal performance; it's a property of the system, which means hires can produce on-brand work from week one.
End-to-end content pipeline, all configurable, all yours after handover. Four stages, each surfaces in the workspace you saw demoed.
Capture
Source ingestion · ideas, hooks, competitor signal
New material flows into the inbox from configured sources: the feeds and channels you already monitor, plus your own captured ideas and hooks. Each item arrives pre-tagged with pillar, format suggestion, and the angle the engine sees in it. You decide what becomes a draft.
Generate
Brand-grounded drafts in the formats you actually use
From any source (an idea, a hook, a scraped competitor post, a newsletter, a YouTube transcript), the engine produces drafts in the platform formats you've configured. Threads, carousels, scripts, posts, captions. Generation is grounded in your stored exemplars and hook library, so output reads like you, not like a generic LLM.
Every draft surfaces in the inbox for review before anything moves forward.
Review & refine
Human-in-the-loop on every piece
Approve, edit, regenerate, or send back. The review surface is built for fast judgment: full context on the source, the brand exemplars used, the platform format. Carousel slides regenerate independently. Scripts can be tightened on the page. Nothing publishes without your green light.
Schedule & learn
One calendar, every platform, performance loops back in
Approved pieces queue into the unified calendar and publish through the centralized rail. Performance data (what landed, what didn't, on which platform, with which hook) flows back into the engine's prompt context, so future generations weight what's actually working in your account.
Plug-and-play means three things stop being separate jobs:
- Ideas DB → native idea and hook vaults. Your Notion DB stops being a parking lot for thoughts that never make it back into a draft. Saved items are one click from a brand-grounded generation. The thinking and the writing live in the same room.
- Manual repurposing → one source, every platform. The newsletter that becomes a tweet thread, a carousel, a Reel, a Pinterest pin: that work happens in the engine, drafted in minutes, reviewed in the inbox, scheduled to one calendar. The platforms you don't currently bother with become viable.
- Scattered scheduling tools → one rail, every platform. One unified publishing layer covers the platforms you care about. New platforms become configurations rather than new tools to learn, evaluate, and pay for.
What doesn't change: your voice, your taste, your editorial judgment. The engine drafts; you decide. The point isn't to remove you from the loop; it's to make sure the loop only spends your time on the part that actually requires it.
The Claude integration advantage
You already work in Claude all day. The engine plugs in natively.
The MCP connector turns your existing Claude workspace into a control surface for the engine. Ask for top-performing posts of the week, generate a carousel from a saved idea, queue tomorrow's schedule, scan competitor activity, all from the chat window you already work in. The practical effect: a meaningful share of generation cost runs against your existing Claude tokens rather than per-call platform fees, and you stop tab-hopping between writing and operating.
Plug-and-play deploys in roughly two weeks. Each phase ends with something concrete: the engine in your hands at the end of phase 2, doing real work by the end of phase 3.
Provision & calibrate
Days 1–5
What you have at the end of this week: the engine deployed under your accounts, your brand voice and content pillars configured, your highest-performing past posts seeded as exemplars, the hook library pre-populated from your existing winners, and the platforms you publish to wired up for scheduling.
Connect the pipes
Days 5–9
What you have at the end of this phase: source feeds connected (the channels you monitor for trends and competitor signal), the centralized publishing rail wired to your platform accounts, and the Claude MCP connector live in your workspace.
Live walkthrough & handover
Days 9–14
What you have at the end of this phase: a recorded walkthrough of every screen, a live training call covering the daily and weekly operating cadence, full credentials handover, and 30 days of post-launch async support if anything we built breaks. From this point on, the engine is yours to run.
Two operating models on the same engine. The choice is whether you want to drive it yourself after handover, or have us tuning it alongside you as your operation scales. Pricing in EUR.
Recommended for the start
The plug-and-play option you asked for. We deploy the engine under your accounts, calibrate it for your brand, connect it to your platforms, and hand you the keys. Right if you want to drive the system yourself, learn it from the inside, and decide later whether to extend.
- Engine deployed under your accounts; you own the deployment forever
- Brand calibration — voice, pillars, platform formats, exemplar seeding from your top-performing past posts
- Hook library pre-populated from your existing winners
- Source feeds connected — the channels you already monitor for trends and competitor signal
- Centralized publishing rail wired to your social accounts
- Claude MCP connector deployed in your workspace
- Live training call + recorded walkthrough of every screen
- 30 days of post-launch async support
Same build, plus a light monthly retainer. We become an extension of your team, tuning the prompt matrix, refreshing the exemplar set, building out the additional platforms or client-brand profiles as your operation grows. Right if you know you'll want customizations beyond the standard build and would rather have us on call than scope each one as a separate project.
- Everything in Tier 1 setup, plus ongoing system support
- Monthly system tuning — prompt refinement, exemplar refresh, hook library expansion based on what's actually performing
- Additional platform integrations as needed (beyond the launch set)
- Per-client brand profile setup as you onboard ghostwriting clients into the engine
- Bi-weekly working call — what's working, what's not, what to ship next
- Async support, prioritized response
Operating cost (pass-through, paid by you)
The engine runs on infrastructure billed directly to your accounts, no markup. Everything under your ownership.
AI generation — usage-based, runs on your own provider tokens (incl. your existing Claude where the MCP integration applies)
variable
Database hosting — generous free tier covers most text-and-image workloads
€0–25/mo
Multi-platform publishing rail — the centralized scheduling layer
~€12/mo
Domain / hosting — if you want the engine on your own subdomain
~€15/year
We build it right, or we fix it.
30 days of post-launch support at no cost. If anything we built breaks, we fix it. No exceptions.
You approve every milestone.
Nothing moves forward without your written sign-off. If a deliverable doesn't match what we promised, we revise it until it does.
No surprises.
2 revision rounds per deliverable included. Timeline and scope locked once we start.
What we guarantee — and what we don't.
We guarantee the work: the engine deployed under your accounts, calibrated to your brand, integrated with the platforms in scope, with the Claude connector live. We don't guarantee specific reach or follower numbers; those depend on the writing, the offer, and the audience, all of which stay with you. The engine removes the operational ceiling on your output; the editorial decisions stay yours.
Every week without the engine is a week of repurposing by hand, of ideas captured in Notion that never make it back into a draft, of platforms you don't ship to because the marginal hour costs too much. The first hire you make either onboards into the engine or into your head, and the version that scales is the one where the engine is already running.
Ready to move forward? Here's how we get going.
01
Review & reply
Read through the proposal. Reply with your tier preference. If anything in scope, timeline, or pricing feels off, push back. We'd rather adjust now than ship the wrong shape of engagement.
02
Deposit invoice
50% deposit on Tier 1. First month + setup on Tier 2. Payment confirms the start date and locks in the timeline.
03
Account provisioning
We send a checklist for the accounts the engine runs against: AI provider tokens, database, platform credentials. All under your ownership, billed direct, you own everything.
04
Kickoff call
60 minutes within 48 hours of deposit. We walk through your current writing process, identify the past posts to seed as exemplars, lock the launch platform set, and pin down your top hooks for the library. We come with a pre-built starter; you sharpen it.
05
Build & handover
Provisioning and calibration in week 1; pipes connected and Claude integration live in week 2; recorded walkthrough plus live training before handover. From handover, the engine is yours to run.