Hook Library Generation
Claude generates 60-100 candidate hooks per project against documented buyer pain points and competitor angle gaps. Human review filters to a 30-strong tested library. What used to take a week now takes a day.
AI-augmented advertising
An AI-powered Meta ads agency — built for faster iteration, not generic AI output.
A boutique performance practice augmenting media buying with Claude for strategy and Higgsfield AI for creative production. Faster hypothesis testing. Sharper angle iteration. Lower long-run cost-per-qualified-lead. Discipline before automation.
The thesis
AI doesn't replace media strategy.
AI doesn't replace media strategy.
It compresses iteration time.
Most agencies adopting AI fall into one of two failure modes. Either they generate generic AI creative and ship it without brand calibration (the output is sloppy and Meta-policy-risky). Or they outsource strategy itself to AI prompts (the output is shallow and undifferentiated).
We use AI for what it's actually good at: collapsing the production bottleneck between hypothesis and tested creative. Strategy stays human. Hypothesis stays human. Brand calibration stays human. AI does the iteration math at machine speed in between.
Our internal stack
- Claude — strategy, copy audit, angle generation
- Higgsfield AI — creative variant production
- Make.com / n8n — workflow automation
- Meta Business Manager + CAPI — media buying
- WhatsApp Business API — qualified-lead routing
- Custom dashboards — performance review
Where AI compresses time
Five places AI is doing
real work in our engagements.
Variant Production
Higgsfield AI produces static and motion variants calibrated to brand-aesthetic guidelines. Each ad ships with 4-8 visual variants instead of 1-2. A/B testing converges on winning creative 60% faster.
Copy & Angle Audit
Claude reviews live ad copy weekly against angle hypothesis, surfacing creative-fatigue patterns and copy-vs-image misalignment 7-14 days before traditional human review would catch them.
Lead-Quality Grading
AI auto-classifies inbound leads by qualification depth before they hit the sales floor. Pre-qualifies form submissions on intent signals. Saves sales-team 6-10 hours of triage per week per project.
WhatsApp Template Selection
The AI selects the contextually appropriate first-touch template based on which ad creative the lead clicked. No more generic "Hi, thanks for your interest" templates that waste lead-warmth.
Performance Synthesis
Weekly performance reports synthesised by Claude — not from raw Meta dashboards, but from the angle-vs-outcome hypothesis. What worked. What didn't. What to test next. Decisions, not data dumps.
Where we don't use AI
The lines we
don't cross.
Strategic positioning
How your project is positioned, against whom, with what differentiation — this is human-only thinking. AI suggests; humans decide. Strategy frameworks aren't outsourced to prompts.
Sales floor relationships
The weekly feedback loop with your sales team is human conversation. The grading conversation about which leads converted and why can't be replaced by sentiment analysis.
Client communication
You'll always speak with a human strategist on calls and reviews. We don't deploy AI chatbots, AI-generated weekly summaries without human review, or AI-handled escalations.
Compliance review
RERA compliance for real estate, accuracy of placement claims for study abroad, Meta policy adherence — these are human-reviewed before every campaign launch. Errors here cost clients money.
Frequently asked
What clients ask
about our AI stack.
What does 'AI-powered' actually mean in your engagement — beyond marketing buzzwords?
Three concrete things. (1) Strategy analysis: Claude is used for hook-library generation, ad-copy auditing, and angle ideation against documented buyer pain points. (2) Creative production: Higgsfield AI generates static and motion variants 3-5x faster than studio production, calibrated to brand-aesthetic guidelines. (3) Performance analysis: AI-augmented review of ad performance against angle hypothesis, surfacing creative-fatigue patterns earlier than human review. We don't use AI to replace strategy — we use it to compress iteration time.
Will my ads look generic if AI is generating the creative?
No, because AI is one input, not the output. Every AI-generated variant goes through brand-aesthetic review before it ships. Higgsfield is calibrated to your visual identity (colour palette, typography, photography style, brand voice). The output is closer to 'studio creative produced 5x faster' than 'AI-generated stock-feel content'. Generic AI output is what happens when agencies skip the calibration step.
How does AI-augmented Meta advertising compare to traditional agency Meta management on cost?
Engagement fees are similar to a standard performance retainer — AI doesn't cut your bill. What it does cut is your effective cost-per-creative-iteration. A traditional agency ships 4-6 new creatives per month per project; we ship 15-25 because the production bottleneck is collapsed. More iterations means faster convergence on winning creative, which means lower long-run CPL.
Do you build custom AI workflows for clients, or is this an internal-only stack?
Both. The Claude + Higgsfield + Make.com stack is internal — we run it for all engagements. For clients with sufficient scale, we also help architect their own internal AI workflows (custom Claude projects, n8n automations, Google Sheets webhook orchestration) so they can own the capability long-term. This is offered as a separate consulting engagement.
Is AI-generated content compliant with Meta's advertising policies?
Yes, when handled correctly. Meta's ad policies don't restrict AI-generated creative per se, but they do enforce truthfulness, originality and disclosure rules around generated human likenesses. Our workflow includes a compliance pass on every AI-generated variant — Meta-policy alignment, brand-image rights, and (for real estate specifically) RERA-compliance review.
How does AI handle the qualification side of the funnel, not just the creative?
AI augments three qualification layers. (1) Hook-to-form alignment scoring — does the form question architecture match the angle the lead clicked? (2) Lead-quality grading — auto-classifying leads by qualification depth before they hit the sales floor. (3) WhatsApp template selection — the AI picks the most contextually appropriate first-touch template based on the ad-creative the lead clicked. Saves 6-10 hours of manual sales-ops work per week.
AI-augmented engagement
Tell us about the project.
We'll show you exactly where AI compresses time in your funnel — and where it doesn't.