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    Working technology

    The stack behind the work

    Tools I implement and operate for clients, not logos collected for a wall. Curated deliberately: fewer tools, mastered properly, connected well.

    The stack behind the work

    AI systems and MCP

    • Claude
    • Anthropic API
    • OpenAI API
    • Model Context Protocol
    • Custom AI applications

    CRM

    • HubSpot
    • Salesforce
    • Brevo
    • Zoho

    Automation

    • n8n
    • Make
    • Zapier
    • Power Automate
    • Salesforce Flow
    • Webhooks
    • Airtable

    Vector databases and retrieval

    • Pinecone
    • Supabase Vector
    • pgvector
    • Weaviate
    • Qdrant
    • OpenSearch vector search

    Analytics

    • GA4
    • Google Tag Manager
    • Looker Studio
    • Microsoft Clarity
    • Hotjar

    Web development

    • Astro
    • React
    • TypeScript
    • Tailwind CSS
    • WordPress
    • Drupal
    • Webflow
    • Prestashop

    Advertising

    • Google Ads
    • LinkedIn Ads
    • Meta Ads
    • TikTok Ads

    Content and SEO

    • Semrush
    • Google Search Console
    • Screaming Frog

    Data and reporting

    • Google Sheets
    • Looker Studio
    • BigQuery
    • Data warehouses

    Positions, not just tools

    What I believe about the stack, so you know what you are hiring.

    Static-first web architecture

    Marketing sites should ship as fast static HTML with JavaScript only where interaction demands it. This site is the reference implementation: Astro, content collections, React islands, deployed as pure static files.

    n8n as the automation backbone

    Excellent for complex branching, reusable workflows and code steps. I use managed hosting when shared cPanel cannot operate a persistent application, and choose Zapier or Make when their managed experience is the better organisational fit.

    HubSpot as the default CRM, not the only one

    Best marketing-sales integration and adoption curve for most mid-sized teams. Salesforce for enterprise structures, Brevo and Zoho where budget leads the decision.

    AI inside workflows, not instead of judgement

    Claude and other models interpret, draft, classify and orchestrate approved MCP tools inside governed systems. Validation, permissions, logs and human approval remain where impact demands them.

    Next move

    Want this stack working for you?

    Describe your current tools in the project brief and I will tell you what to keep, connect or replace.

    OPERLOOM / LET’S BUILD WHAT’S NEXT

    Your next growth system.

    Four short steps to understand your project and prepare a personal reply.

    What would you like to change?

    Main objective
    Choose specific services (optional)