The autonomous growth operating system for Claude Code.
Multichannel orchestration. Andromeda-native. Neural pre-testing. Self-learning.
One north star: print cash.
28 Commands • 15 Agents • 16 Skills • 4 Cloud Routines • 3 Knowledge Bases
The GTM Engineering Command Center transforms Claude Code into a full-stack autonomous growth engine. It doesn't just run ads — it owns the entire revenue lifecycle across every channel, powered by April 2026 operator-level knowledge from $100K-$500K/month spenders:
┌─────────────────────────────────────────────────────┐
│ AARRR FUNNEL OWNERSHIP │
│ │
│ Acquisition ──→ Activation ──→ Retention │
│ (Meta, Google, (Onboarding, (Email drips, │
│ TikTok, SEO, Landing pages, Engagement │
│ LinkedIn) Emails) loops) │
│ │
│ Revenue ──→ Referral │
│ (Pricing, (Viral loops, │
│ Upsells, Ambassador │
│ Checkout) programs) │
└─────────────────────────────────────────────────────┘
│
┌─────────┴─────────┐
│ DIAGNOSE → FIX │
│ EMQ audit first. │
│ Then find where │
│ revenue leaks. │
└───────────────────┘
It detects your stack. Scans your codebase for 20+ integrations (Resend, PostHog, Stripe, Tailwind, Supabase, Vercel, Mux, Sentry, etc.) and adapts.
It understands Andromeda. Entity Clustering, ARM, Event Match Quality — the plugin knows how Meta's algorithm actually works in April 2026 and structures campaigns accordingly.
It diagnoses bottlenecks. Correlates data across PostHog, Stripe, Meta, Google, email, and SEO to find WHERE your funnel is broken. EMQ audit first — because bad data kills creative.
It generates assets. 20+ visually distinct creatives across 4 levers (Persona × Messaging × Hook × Format), landing pages using your design system, email drips matching your template style, SEO content.
It pre-tests with neuroscience. Tribe v2 brain prediction scores every creative before deployment. Dead Zone Editing cuts the boring parts. Only winners get budget.
It verifies its own work. Playwright, Computer Use, and Chrome DevTools QA every deployment — pixel fires, EMQ checks, mobile responsiveness, funnel walkthroughs.
It never sleeps. Cloud Routines pull metrics daily, optimize weekly, and check every PR for conversion tracking completeness.
These laws govern every decision the plugin makes.
| Law | Principle |
|---|---|
| 1. Creative Is the Targeting | Andromeda's Entity Clustering groups similar ads into one ticket. You need 50-200 visually distinct Entity IDs per week. Minor text variations are dead. |
| 2. Data Hygiene Is the Moat | ARM reads your conversion data BEFORE your creative. EMQ 8-10 unlocks the full model. You cannot out-creative bad data. |
| 3. Consolidation Beats Fragmentation | One campaign, 1-2 ad sets, 20-50 diverse creatives inside. The algorithm handles segmentation via Entity IDs and ARM. |
| 4. Agents Run the System, Humans Set Guardrails | Claude Code agents cut audit time 60%. But unchecked AI optimizes into failure (the Grok Paradox). Human intuition guides; agents execute. |
| 5. Neural Pre-Testing Replaces Vibes | Tribe v2 predicts brain activation from any creative. Pre-test before spending. The accounts doing this now have the advantage by May. |
The /gtm command orchestrates the full lifecycle. The /gtm-quickstart command walks you through the 7-day implementation playbook.
┌──────────────────────────────────────────────────────────────────┐
│ │
│ Phase 1 Phase 2 Phase 3 Phase 4 │
│ ┌─────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │DIAGNOSE │→ │ CHANNEL │→ │ PLAN │→ │ CREATE │ │
│ │EMQ audit│ │ STRATEGY │ │ per │ │ 20+ │ │
│ │funnel │ │ Meta? │ │ channel │ │ distinct │ │
│ │health │ │ Google? │ │ budgets │ │ Entity │ │
│ │score │ │ TikTok? │ │ targets │ │ IDs │ │
│ └─────────┘ │ Email? │ │ copy │ │ 6 hooks │ │
│ │ LinkedIn?│ └──────────┘ └──────────┘ │
│ └──────────┘ │
│ │
│ Phase 4.5 Phase 5 Phase 6 Phase 7 │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ TRIBE V2 │→ │ DEPLOY │→ │ MEASURE │→ │ LEARN │──┐ │
│ │ neural │ │ Meta API │ │ PostHog │ │ save │ │ │
│ │ pre-test │ │ Google │ │ Stripe │ │ insights │ │ │
│ │ dead │ │ Email │ │ Meta │ │ update │ │ │
│ │ zone │ │ TikTok │ │ Google │ │ memory │ │ │
│ │ editing │ │ Git │ │ Email │ │ calibrate│ │ │
│ └──────────┘ │ (PAUSED) │ │ MER │ │ Tribe v2 │ │ │
│ └──────────┘ └──────────┘ └──────────┘ │ │
│ │ │
│ ◄───────────────────────────────────────────────────────┘ │
│ (learnings feed back into next cycle) │
└──────────────────────────────────────────────────────────────────┘
# Add the marketplace
claude plugins marketplace add DojoCodingLabs/GTM-Engineering-Command-Center
# Install the plugin
claude plugins install gtm-engineering-command-center
# Reload
/reload-pluginsThen in your project:
/gtm-setup # Detect your stack, configure credentials
/gtm-quickstart # 7-day implementation playbook
/gtm # Full lifecycle orchestrator
| Command | What It Does |
|---|---|
/gtm |
Full lifecycle orchestrator — Diagnose → Channel Strategy → Plan → Create → Neural Pre-Test → Deploy → Measure → Learn |
/gtm-setup |
First-run wizard — detects 20+ integrations, maps AARRR funnel, creates .gtm/ config |
/gtm-quickstart |
7-day implementation playbook — fix data, restructure, create, test, deploy, measure, govern |
/gtm-diagnose |
Find the biggest revenue bottleneck. EMQ audit first, then AARRR scoring, Entity ID health check, Blended MER |
/gtm-funnel |
Map your AARRR funnel with health scores (0-100) per stage |
| Command | What It Does |
|---|---|
/gtm-plan |
Multichannel media planning — Meta, Google, TikTok, Email, SEO, LinkedIn, Outreach. Budget-aware structure. |
/gtm-create |
Generate 20+ visually distinct creatives across 4 levers and 6 hook categories. Statics, UGC, video, claymation. |
/gtm-neurotest |
Tribe v2 neural pre-test — brain response prediction, dead zone editing, deploy/test/skip verdicts |
/gtm-deploy |
Deploy to any channel — Meta Graph API, full Google Ads REST :mutate route (budget → campaign → adGroup → keywords → RSA, not a stub), email provider, git commit. ASC+ and Flood+Underbid support. |
/gtm-metrics |
Unified metrics from all channels with Blended MER (total spend / total revenue). Pulls Google via google-ads-open-cli (read-only). |
/gtm-report |
Weekly performance report with cross-channel attribution and AARRR trend |
/gtm-learn |
Extract insights, correlate neural scores with actual CPA, calibrate Tribe v2 weights |
| Command | What It Does |
|---|---|
/gtm-email |
Create and deploy email drip campaigns using your project's design system |
/gtm-seo |
Technical SEO audit + GEO optimization + programmatic content generation |
/gtm-landing |
Generate conversion-optimized landing pages using your component library |
/gtm-outreach |
Signal-based cold outreach sequences (Tier 1-2 ethical tactics only) |
/gtm-referral |
Design and implement a referral program with K-factor projections |
/gtm-experiment |
Structured A/B experiment tracking with statistical significance checks |
/gtm-qa |
Autonomous QA — pixel verification, EMQ check, mobile testing, funnel walkthroughs |
/gtm-catalog |
Create and manage Meta product catalogs; connect to pixels for product-level conversion tracking (uses official meta ads CLI) |
| Command | What It Does |
|---|---|
/gtm-scrape |
Scrape Reddit, X, GitHub for the latest GTM strategies and hacks |
/gtm-animate |
Create animated video ads with Remotion |
/gtm-routines |
Manage autonomous cloud routines (daily metrics, weekly optimization, PR checks) |
The HVA engine — creative discovery at machine speed. A standalone loop parallel to /gtm (see Two Engines below).
| Command | What It Does |
|---|---|
/hva |
The HVA loop — fit-check (router) → forge → deploy (PAUSED) → read → decide (cut or compound) → vault |
/hva-forge |
Forge a diverse, hypothesis-tagged creative batch (variety over duplication, ≤5/ad set), reusing creative-director + neuro pre-test |
/hva-lint |
Lint a campaign structure against the HVA guardrails + Fit Boundary (read-only) |
/hva-review |
Read live creatives by impression volume, run CLEAR via the deterministic scorer, emit cut/scale/hold per creative |
/hva-vault |
Manage the Vault — promote confirmed winners, breed creative families, update Foundry priors, rotate fatigue |
15 specialized agents. No model pinning — every agent runs on the most capable model in your environment.
| Agent | Role |
|---|---|
| funnel-diagnostician | Cross-channel bottleneck inference engine. EMQ audit, AARRR scoring, Entity ID health, Blended MER. |
| media-buyer | Plans campaigns with budget-aware structure (1 ad set at $20/day, ASC+ at $500+/day). Flood+Underbid testing. TikTok + LinkedIn + X.com. Patience Paradox. pLTV bidding. |
| creative-director | Generates 20+ visually distinct creatives across 4 levers (Persona × Messaging × Hook × Format) and 6 hook categories. Entity ID diversity. Static priority (60-70% of conversions). AI UGC pipeline. Deliberately absurd formats. |
| neuro-analyst | Tribe v2 brain prediction. 7 ROI scores (attention, emotion, memory, decision, comprehension, face response, reward). Dead Zone Editing — second-by-second timeline, cut flat signals, front-load peaks. Biological A/B testing. |
| campaign-operator | Deploys via Meta Graph API, email providers. Google Ads REST-:mutate deploy (budget → campaign → adGroup → keywords → RSA), brand-exclusion + value-based conversion enforcement. ASC+ deployment, Flood+Underbid, Post ID relaunching, EMQ verification post-deploy. |
| data-analyst | Unified metrics. Stripe MRR/LTV/churn, email open rates, SEO rankings, ad performance. Google Ads metrics via google-ads-open-cli. Cross-channel attribution with Blended MER. |
| email-marketer | Designs drip sequences matching your project's existing email design system. Welcome, activation, retention, win-back, upsell. |
| seo-engineer | Technical SEO audit, GEO optimization, programmatic content, schema markup. |
| landing-page-builder | Generates pages using your project's actual UI library and Tailwind config. Outputs production code. |
| outreach-operator | Signal-based cold outreach. Monitors buying signals, generates personalized sequences. Ethical Tier 1-2 only. |
| referral-architect | Designs referral programs. K-factor, DB schema + API + UI + email implementation. |
| stack-detector | Deep project stack discovery. 20+ integration types → GTM capability mapping. |
| growth-hacker | Community intelligence. Reddit, X, GitHub. Compares findings against both Atlas knowledge bases. |
| qa-engineer | Autonomous QA via Playwright, Computer Use, Chrome DevTools. Verifies every deployment. |
| hva-desk | The HVA Desk (Layer 3). Reads insights by impression volume, runs the deterministic CLEAR scorer, converts early algorithm behavior into cut-or-scale calls. Configurable autonomy (recommend / cut-auto / full-auto). Cut fast, scale slow. |
16 domain knowledge stacks — the brain that agents reference for decisions.
| Skill | Domain | Key April 2026 Knowledge |
|---|---|---|
meta-ads |
Meta Ads API + meta ads CLI |
Andromeda, Entity Clustering, ARM, EMQ 8+, ASC+, Creative Fatigue Indicator, Attribution Upheaval, Post ID relaunching, native CLI integration (April 2026) |
google-ads |
Google Ads (full parity) | google-ads-open-cli read/measure/audit + GAQL mining → REST :mutate deploy. Performance Max, AI Max, Demand Gen, Shopping feed optimization, AI Overviews. 9 rules files + Google Ads Atlas 2026 (18 Parts). |
email-marketing |
Email drips | Deliverability (SPF/DKIM/DMARC), provider APIs (Resend/SendGrid/Postmark) |
seo-engineering |
SEO/GEO | Technical SEO, content strategy, schema markup, AI citation optimization |
landing-page-patterns |
Conversion pages | Hero patterns, social proof, CTA optimization, design system integration |
irresistible-offer |
Copywriting | 6 Hook Categories, 30-50+ copy variations per visual, angle mining, brand voice locking |
campaign-optimization |
Performance | Patience Paradox, Creative Fatigue detection, EMQ monitoring, Blended MER, budget scaling rules |
posthog-analytics |
PostHog API | HogQL, funnel analysis, cohort creation, dashboard templates |
funnel-diagnostics |
AARRR bottlenecks | Bottleneck patterns, correlation rules, benchmarks by vertical |
stack-detection |
Project scanning | Provider fingerprints (20+ integrations), framework detection, capability mapping |
cross-channel-logic |
Multichannel | TikTok → Meta → Google funnel, LinkedIn TLAs, X.com, cross-platform creative reuse, budget by business type |
stripe-revenue |
Revenue intel | MRR tracking, cohort revenue, LTV calculation, churn diagnostics |
browser-qa |
QA verification | Playwright patterns, Computer Use, verification checklists |
neuro-testing |
Brain prediction | Brain region mapping, ROI extraction, score interpretation, dead zone editing, setup guide |
high-velocity-advertising |
Creative discovery at machine speed | CLEAR decision rule, the five-layer Stack, the Read Ladder, the two-clocks asymmetry, Benjamini-Hochberg correction, the Vault moat, the Fit Boundary. The spec behind /hva* + hva-desk + the deterministic scripts/hva-score.py scorer (5 rule files: the-desk, the-foundry, the-vault, guardrails, evidence-base) |
Plus 3 deep-dive rule files:
andromeda-2026.md— Full Andromeda mechanics: Entity Clustering, ARM pipeline, EMQ, lifecycle compression, $834M impact studyflood-underbid.md— The contrarian $0 testing method from $80M+ operatorsads-cli.md— Official Metameta adsCLI reference: install, auth viaACCESS_TOKENenv var, command catalog, DCO via plural flags, exit codes, fallback list for raw Graph API
Three comprehensive knowledge bases totaling 4,500+ lines:
1,557 lines. 130+ documented tactics. 15 sections. Ethical ratings for every tactic. Complete tools directory with pricing. Case studies from Dropbox, Calendly, Clay, Loom, Notion.
1,337 lines. Compiled from 13 primary research documents, $834M in analyzed ad spend across 3,014 advertisers, and $100K-$500K/month operator playbooks. Covers:
- Andromeda Entity Clustering and ARM mechanics
- The exact campaign structure that $100K-$500K/month accounts run
- ASC+ optimization (62% of ecom spend, 22% ROAS improvement)
- Creative Fatigue Indicator (new April 2026)
- Flood + Underbid contrarian testing ($0 testing at massive scale)
- Tribe v2 Dead Zone Editing workflow
- TikTok, LinkedIn Thought Leader Ads, X.com benchmarks
- Cross-platform budget allocation by business type
- AI UGC pipeline ($28K/day accounts running synthetic avatars)
- Peter Thiel contrarian plays (Patience Paradox, static images > video)
- Complete Whitehat/Grayhat/Blackhat ethical ranking matrix
- 7-day implementation playbook
Industry benchmarks by vertical (developer tools, B2B SaaS, consumer, marketplace). Funnel health scoring algorithm. Cross-stage correlation patterns with diagnostic prescriptions.
The plugin integrates Meta's open-source brain prediction model to score creatives BEFORE deployment:
/gtm-create → Generate 20+ visually distinct creatives
│
/gtm-neurotest → Tribe v2 scores each creative:
│
│ Creative Attn Emot Mem Decn Composite Verdict
│ ─────────── ───── ───── ───── ───── ────────── ───────
│ pain_point 82 71 65 78 75.3 DEPLOY
│ social_proof 91 58 72 69 73.8 DEPLOY
│ speed 73 62 48 61 62.1 TEST
│ outcome 67 45 51 55 55.6 SKIP
│
│ Dead zones at 0:04-0:07: CUT. Front-load peak from 0:08.
│
/gtm-deploy → Only DEPLOY + TEST creatives get budget
Budget saved: 40-60% (losers never spend)
Three execution modes: Local GPU (fast), Local CPU (slower), Google Colab (free GPU).
After campaigns run, /gtm-learn correlates neural scores with actual CPA/CTR and calibrates the composite weights — the system gets smarter every cycle.
The plugin structures campaigns the way $100K-$500K/month operators run them in April 2026:
| Budget | Structure | Why |
|---|---|---|
| Under $50/day | 1 campaign, 1 ad set, 15-20 creatives | Can't exit learning with multiple ad sets |
| $50-$100/day | 1 campaign, 1-2 ad sets, 20+ creatives | One broad + one retargeting |
| $100-$500/day | 1 campaign, 2-3 ad sets, 10+ creatives each | One per persona + landing page |
| $500+/day | ASC+ (60-70%) + CBO testing (20-30%) + retargeting (10-15%) | Full Advantage+ Shopping |
Flood + Underbid (contrarian testing): 1 CBO, 100+ creatives, low bid cap. Losers spend nothing. Winners self-select. Basically testing for free.
Patience Paradox: If CPA ≤ 1.2x target for 5 straight days — LOCK the ad set. No edits for 14 days. Let Andromeda compound.
The plugin ships two advertising motions. Match the engine to the conversion, not to the excitement — one company can run both, on different campaigns, in the same account.
Slow-Craft (/gtm) |
High-Velocity (/hva) |
|
|---|---|---|
| Run it when | High-ticket B2B, long sales cycles, weak/offline tracking, low budget, regulated | Fast, cheap, well-tracked conversions: DTC, apps, info products, low-friction lead gen |
| Reads measured in | Weeks, by calendar | Hours, by impression volume (the Read Ladder) |
| Quality scored by | Sales / closed-won in the CRM | Cost per qualifying CAPI event |
| Creative | A few high-craft concepts | An inexhaustible, diverse supply (the Foundry) |
| Decision rule | Human judgment over time | CLEAR, deterministic, at machine speed (the Desk) |
HVA in one line: generate, deploy, read, and retire creative hypotheses faster than competitors without destroying signal quality, by treating the learning phase as a real-time market maker for creative discovery.
- The Stack (what to build): Layer 0 Instrument (clean CAPI) → 1 Foundry (creative) → 2 Structure (funded ad sets) → 3 Desk (CLEAR + Read Ladder) → 4 Vault (the moat).
- The Loop (what to run): Forge → Deploy → Read → Decide (cut or compound) → refeed sharper priors.
- CLEAR: Clean (CAPI truth only) · Lead (leading indicators, never first-window ROAS) · Economics (kill at ~3× target CPA, zero conversions) · Asymmetry (cut fast, scale slow — two clocks) · Replication (Benjamini-Hochberg before crowning a winner).
- Autonomy is configurable in
.gtm/config.json(hva.autonomy):recommend(default, recommend-only) →cut-auto(auto-pause losers) →full-auto(auto-pause + bounded auto-scale). Pausing only ever saves money, so it automates a tier before scaling. - The decision math is deterministic and unit-tested:
scripts/hva-score.py(runpython3 -m unittest discover scripts/tests). The framework spec lives in thehigh-velocity-advertisingskill.
/hva spring-tripwire $80/day
→ Fit check: CAPI live, EMQ 9, fast conversion → RUN HVA
→ Forge: 8 distinct concepts (hook × pain × proof × format), neuro-pre-tested
→ Lint + Deploy (PAUSED): one concept per ad, 5 ads in one funded ad set
→ Read (hourly): scorer reads each creative by volume
pain-claymation hard CUT economics-3x-cpa-zero-conv → pause
founder-story hard SCALE confirmed-winner (q=0.03) → scale
ugc-testimonial second HOLD fix-landing-or-offer → fix funnel
→ Vault: promote founder-story; sharper priors refeed the next Forge
Cloud-based autonomous workflows powered by Claude Code Routines.
| Routine | Trigger | What It Does |
|---|---|---|
| Daily Metrics Pull | 9 AM daily | Pulls all channel metrics, saves snapshot, alerts on EMQ drops and CPA spikes |
| Weekly Optimization | Monday 10 AM | Full learning loop + funnel diagnosis + weekly report |
| PR Conversion Check | GitHub PR event | Reviews landing/email PRs for tracking completeness |
| Experiment Monitor | 6 PM daily | Checks A/B experiments for statistical significance |
| HVA Read Loop | Hourly | The always-on HVA Desk — pulls per-creative insights, runs CLEAR, acts per hva.autonomy (cut fast / scale slow). Hard-blocks if CAPI/EMQ regresses. |
/gtm-setup auto-detects 20+ integration types:
Full Stack Detection — 21 integrations detected
| Category | Integration | Details |
|----------------|-------------------|--------------------------------------------|
| Email | Resend | 22 templates, drip scheduler, 3 domains |
| Analytics | PostHog + GA4 | 113+ events, 17 categories, /ph proxy |
| Ads | Meta Pixel + CAPI | Dual tracking, consent-gated, event dedup |
| Payments | Stripe | 3 tiers, 13 Edge Functions, webhooks |
| Design System | Tailwind + Custom | 66+ components, #C980FC/#FF7151/#07070E |
| SEO | Custom seoService | 50+ methods, 9 sitemap routes, JSON-LD |
| Deployment | Vercel | CSP headers, PostHog proxy |
| Video | Mux | Signed playback, uploader, webhooks |
| Error Tracking | Sentry | Frontend + backend, env tagging |
| Feature Flags | PostHog | Dashboard-managed |
| Auth | Supabase Auth | Email + GitHub + Discord + Google + LinkedIn|
| Database | Supabase/PG | 517 migrations, full RLS |
| Real-time | Supabase Realtime | Forum + hackathon live updates |
AARRR Funnel Health:
Acquisition: ████████░░ 75 [STRONG]
Activation: ███████░░░ 70 [STRONG]
Retention: █████░░░░░ 45 [MODERATE]
Revenue: ████████░░ 80 [STRONG]
Referral: ██░░░░░░░░ 15 [WEAK] ← biggest gap
/gtm-quickstart walks you through the highest-impact implementation:
| Day | Focus | What Happens |
|---|---|---|
| Day 1 | Fix Data Layer | CAPI + EMQ audit. Every Purchase event gets email + phone + click ID. |
| Day 2 | Restructure | Consolidate to ASC+ + CBO + retargeting. Kill the old funnel. |
| Day 3 | Creative Production | 20-30 distinct Entity IDs. 4 levers × 6 hooks. Statics + UGC + absurd. |
| Day 4 | Agentic Workflows | Daily metrics, fatigue scan, bleed check, rebalance automation. |
| Day 5 | Neural Pre-Test | Tribe v2 scores all creatives. Dead zone editing. Deploy winners only. |
| Day 6 | Cross-Platform | Meta winners → Google Demand Gen + YouTube Shorts + TikTok Spark Ads. |
| Day 7 | Governance | Blended MER dashboard. Hard rules. Patience Paradox for winners. |
| Requirement | Details |
|---|---|
| Claude Code | Latest version with plugin support |
| Meta Ads | Optional — System User token from live-mode Business app. Plugin auto-installs the official meta ads CLI (pip install meta-ads) during /gtm-setup. |
| Google Ads | Optional — Customer ID + developer token. Plugin auto-installs google-ads-open-cli (npm install -g google-ads-open-cli, read/measure) during /gtm-setup; deploys via Google Ads REST :mutate. |
| TikTok Ads | Optional — Business account for Spark Ads |
| PostHog | Optional — Project + Personal API keys for diagnostics |
| Stripe | Optional — For revenue diagnostics (MRR, LTV, churn) |
| Gemini API | Optional — For Nano Banana 2 creative generation |
| Tribe v2 | Optional — Python 3.11+ with GPU for neural pre-testing |
| Email Provider | Optional — Resend, SendGrid, or Postmark API key |
The plugin works with whatever you have configured. No channel is required — it adapts.
A single GTM Engineer with the right agentic stack in 2026 can outperform a 10-person traditional sales and marketing team.
This plugin is that stack. It's not a tool — it's an autonomous growth team:
- Media Buyer who understands Andromeda and structures campaigns the way $100K/mo operators do
- Creative Director who generates 20+ visually distinct Entity IDs, not 5 text variations
- Neuro Analyst who predicts brain response and edits dead zones before you spend a dollar
- Data Analyst who correlates metrics across every channel and calculates Blended MER
- Growth Hacker who scrapes the internet for strategies the Atlas hasn't documented yet
- Email Marketer who builds drip campaigns matching your design system
- SEO Engineer who audits technical SEO and optimizes for AI citations
- Landing Page Builder who writes production code using your component library
- QA Engineer who verifies everything works in a real browser
- Funnel Diagnostician who finds exactly where money is leaking — EMQ first, then AARRR
Human approves. Agent executes. Revenue grows.
PRs welcome. This is open source under MIT.
git clone https://github.com/DojoCodingLabs/GTM-Engineering-Command-Center.gitMIT — see LICENSE.
Built by Dojo Coding Labs