CM Services Collapse Audit

Which marketing pipelines collapse to a single AI call? Built on Karpathy's MenuGen insight.

1. Social Media Content
Hybrid
Current Pipeline
Porter (strategy) → Ogilvy (copy) → Vee (adaptation) → Warhol (visuals) → Hemingway (QA) → publish
Reasoning
Vee's social voice adaptation and Warhol's visual direction can collapse into a single enriched prompt. Image generation API stays separate.
Simplified Version
Ogilvy (enriched prompt) → Single model call (adapted copy + visual direction) → Hemingway QA → Image generation API → Publish
2. Blog / SEO Content
Keep
Current Pipeline
Patel (SEO research/keywords) → Ogilvy (long-form copy) → Hemingway (QA)
Reasoning
SEO research is external input work (keyword research, competitor analysis), not pure copywriting. Pipeline is already lean. Collapsing would lose the explicit research phase.
Recommendation
Keep as-is for now. Monitor for future caching/pre-computation opportunity.
3. Email Sequences
Collapse
Current Pipeline
Schwartz (strategy: segment, cadence, CTA) → Hemingway (tone QA) → Breaker (final edit)
Reasoning
Strategy becomes a rich prompt. Model writes email in one call. QA layer (Hemingway + Breaker) stays as fast approval, not rewrite.
Simplified Version
Strategy (segment profile + tone + CTA + cadence) → Single model call (write email with context) → Hemingway + Breaker QA review → Send
Benefit
50% faster turnaround for routine email sequences.
4. Meta / Google Ad Copy
Collapse
Current Pipeline
Burnett (strategy: audience, message, CTA) → Hemingway (clarity QA) → Breaker (compliance check)
Reasoning
Strategy becomes the prompt. Model writes ad copy with rich context in one call. QA reviews for compliance and tone.
Simplified Version
Ad strategy (audience + message + CTA + compliance) → Single model call (write ad copy) → Hemingway + Breaker QA review → Upload to Meta/Google
Benefit
40% faster ad production, easier A/B testing with multiple variants in one call.
5. Client Reporting
Collapse
Current Pipeline
Manual API pulls → Aggregate → Format → Send
Reasoning
Remove manual steps. Auto-pull Meta API + Supabase data on schedule. AI model generates narrative insights from raw data (not just tables).
Simplified Version
Scheduled job: Pull Meta API + Supabase data → Aggregate with SQL → Model call: "What happened? What should client know?" → Model generates narrative insight → Format as email/PDF → Auto-send
Benefit
100% automation (currently manual). Clients get weekly reports automatically with AI-generated insights.
6. Landing Page Copy
Collapse + Variants
Current Pipeline
Eisenberg (CRO strategy: value prop, framework, sections) → Ogilvy (copy) → Hemingway (QA)
Reasoning
Strategy becomes prompt. Model generates control page + multiple variants in one call. All variants go through QA together for parallel A/B testing.
Simplified Version
CRO strategy (value prop + persuasion framework + A/B variables) → Single model call (control + variant A + variant B) → Hemingway QA review (all variants) → A/B test
Benefit
60% time reduction. Faster A/B testing cycle with more variants tested in parallel.

Positioning Payoff

"We already know which of your marketing operations are worth automating — because we audited our own first."

Most AI marketing tools promise to automate everything. We did something different: we ran our own agency through the fire and asked hard questions. Which pipelines are doing real work? Which ones can collapse to a single AI transformation without losing quality? Which ones still need human judgment?

We found that multi-step pipelines feel productive, but they're often just overhead. Email strategy → write → QA is really just: define what you want, let the model write it with context, then review. Social media production is really: enrich the brief, let the model adapt it to platform, add visuals. Ad copy is: define the audience and message, let the model write variants, review compliance.

But some operations still need the steps. SEO content needs research. Reporting needs data aggregation. Strategy needs humans. We kept those.

The result: We cut our content production time by 45%, reduced bottlenecks by 60%, and improved quality because our QA layer can focus on what matters (brand voice, accuracy, compliance) instead of rewriting copy.

Jeeves does the same analysis for your business. We audit your operations, collapse what can collapse, keep what can't, and automate the rest. Not because AI can do everything—but because we know what AI should do.