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My AI stack

AI multiplies productive output – it doesn't replace judgement. Here's the specific stack I use across engagements.

The AI landscape moves fast – and so does the way I work with it. This list reflects my current active stack, but new tools emerge and old ones get replaced faster than most industries move. Consider this a snapshot, not a fixed methodology. If you're reading this six months from now, some of these will have evolved.

Onboarding & Knowledge

Client context download

  • NotebookLM – full download of client data, processed and structured for rapid context building at engagement start
Research & Strategy

Strategic grounding

  • ChatGPT Pro / Claude / Gemini (Extended Thinking) – market research, competitive analysis, brief development, strategic scenario planning
Copy & Content

Copy creation

  • ChatGPT Pro / Claude / Gemini (Extended Thinking) – long-form and short-form copy, with extended thinking for depth, precision, and on-brand voice
Visual & Stock

Image generation

  • Midjourney – visual ideation and AI-generated imagery
  • Gemini (Imagen / Nano Banana) – high-quality image generation, strong for product and brand visual contexts
  • Freepik – generic stock and AI-enhanced visuals
Testing & Optimisation

Web A/B testing & GEO

  • Hotjar – behaviour analytics, heatmaps, session recordings
  • VWO & Kameleoon – A/B and multivariate testing, personalisation
  • Peec AI – GEO (Generative Engine Optimisation) analysis
Tracking & Attribution

Data infrastructure

  • GA4 + GTM – event tracking, UTM standards, funnel measurement
  • HubSpot – field mapping, pipeline data, KPI forecasting from historical funnel data
Reporting & Automation

Automated reporting

  • Looker Studio – AI-assisted dashboards, automated performance views
  • n8n / Zapier – alerts and weekly automated report creation
Audience & Pipeline

Targeting & customer intelligence

  • Clay + Apollo – target audience lists, segment tagging, partner marketing scaling
  • Apollo Sequencing + HubSpot Sync – pipeline building and CRM alignment
  • Call recording / transcription / CRM sync – auto-clustering by segment, objections, buying motives
  • Brandwatch / custom agents – competitive monitoring
Website & Agent Building

Code & agent-native architectures

  • Claude Code – building and iterating websites, landing pages, and marketing assets directly in code; no-handoff, fully in-context execution
  • Agent workflows – designing and shipping agent-native marketing architectures: automated research loops, content pipelines, outbound sequences, and custom tools built on Claude and other LLM APIs

All AI output is reviewed, edited, and validated before use. No client-confidential data is processed through public AI tools without explicit agreement.

Curious how this applies to your situation?

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