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Marketing Engine

🇺🇸 English. Leia em português: README.pt-BR.md.

Provider-agnostic AI marketing engine. Drop into any project, scan it, generate posts, publish across 9 platforms — all configurable via .env.

CI

Watch the skills explainer (90s)

A Remotion-rendered walkthrough of the pipeline and every skill in .skills/. Rendered in English; a Portuguese version is also available.

https://github.com/wesleysimplicio/marketing-engine/raw/main/video/out/marketing-engine-skills-en.mp4

Player not loading? Click for the fallback thumbnail / direct download

Marketing Engine — skills explainer cover

▶︎ Open marketing-engine-skills-en.mp4  ·  how it was built

Visual tour of each scene

Stage Scene
pipeline brief → script → creative → caption → compliance → publish → metrics → ads
provider-agnostic llm-router orbited by claude, codex, deepseek, higgsfield, topview, wavespeed
llm-router task_type resolved into a concrete provider
copywriter-curto hook, caption, headline typewriter with character counter
revisao-humanizada before/after diff stripping AI fingerprints
caption-multi-platform one base copy fanned out to Instagram, TikTok, LinkedIn, X
higgsfield-prompt-builder cinematic viewport with lens, motion, mood parameters
topview-prompt-builder UGC avatar with spoken script tokens
wavespeed-batch 3x2 A/B variant grid with winner glow
gpt-image-prompt-builder quote-card carousel slides
video-prompt-builder brief routed to higgsfield, topview, or wavespeed
compliance-generic shield blocking medical claims and financial guarantees
qa-tech-specs aspect, duration, codec, safe-area checks
definition-of-done 6 gates that must pass before a piece ships

What it does

  • Scans the host project (package.json, README, source tree, existing brand assets) and drafts brand, persona, and content-pillar specs you can review and edit.
  • Generates copy through a routed LLM layer (Claude, Codex, DeepSeek, Copilot, Ollama) chosen per task type.
  • Generates images and videos through routed providers (gpt-image, Higgsfield, TopView, Wavespeed) selected by content format.
  • Runs a compliance audit before any publish action and blocks pieces that fail the gate.
  • Publishes the 4-platform caption set through AdaptlyPost (Instagram, TikTok, Facebook, LinkedIn, X, Threads, Pinterest, Shorts, YouTube — 9 platforms total).
  • Pulls analytics on a schedule, classifies top performers, and drafts Meta Ads campaigns from the winners.

Quick start

cd /path/to/your-project
npx marketing-engine init
cp .marketing-engine/.env.example .marketing-engine/.env
# fill ANTHROPIC_API_KEY at minimum
npx marketing-engine check
npx marketing-engine generate    # DRY_RUN by default

Why provider-agnostic

No provider is hardcoded. PROVIDERS.md plus .env decide which LLM, image, or video service handles each task. Switching providers is one env change, not a refactor. Skills declare an abstract task_type (copy-short, image-carousel, video-reel); the router resolves the concrete vendor at runtime and applies fallback automatically.

Stack supported

Layer Providers (default first)
LLM claude, codex, deepseek, copilot, ollama
Image gpt-image, higgsfield, topview, wavespeed
Video higgsfield, topview, wavespeed
Publishing adaptlypost (9 platforms)
Ads meta-ads

Routing rules and rationale live in .specs/architecture/PROVIDERS.md.

CLI commands

Command What it does
init Scaffold .marketing-engine/ in host project
scan Re-scan host project to refresh draft specs
check Validate provider env keys
generate Run generation loop (DRY_RUN-safe)
promote Run promotion loop

Architecture

Pipeline: brief → script → creative → caption → compliance → publish → metrics → ads. The router brokers every external call so vendor swaps stay configuration-only.

flowchart LR
    brief[Brief / piece.md] --> router[lib/router.ts]
    router --> llm[LLM]
    router --> media[Image / Video]
    llm --> compliance[Compliance Gate]
    media --> compliance
    compliance -->|pass| publish[AdaptlyPost / 9 platforms]
    publish --> metrics[Analytics]
    metrics --> ads[Meta Ads draft]
Loading

Full design: .specs/architecture/DESIGN.md.

Repo layout

.specs/        # product, architecture, workflow, sprints — canonical docs
.skills/       # reusable skills (provider-neutral)
.ralph/        # operational scripts (loops, sync, checks)
lib/           # router + provider adapters + publish + ads
bin/           # CLI entry (marketing-engine.mjs)
e2e/           # Playwright specs

Setup details: SETUP.md. Agent contract and Definition of Done: AGENTS.md.

Develop

npm install
npm run typecheck
npm run test:e2e
node bin/marketing-engine.mjs help

Contributing

See CONTRIBUTING.md. Issues and PRs welcome. Conventional commits required. CI must pass DoD checks before merge.

License

Apache-2.0. See LICENSE.

About

Provider-agnostic AI marketing engine. CLI that drops into any host project. Pipeline: brief -> script -> creative -> caption -> compliance -> publish -> metrics -> ads. Switch LLM/image/video provider via env, never via skill rewrite.

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