# Antonios Kioksoglou > Technical founder and software engineer in Gothenburg, Sweden, working where AI, e-commerce, marketing technology and product development overlap. CTO and co-founder of Zalster. This file is the short version of the site for AI agents and the people they work for. Antonios combines engineering with commercial understanding: building software and automation while understanding how products are marketed, measured and turned into revenue. Everything below is documented on the pages linked from this file. The terminal sessions on the Software page are scripted simulations, and the reporting workspace on the Marketing page uses made-up numbers. Both are labeled on those pages and neither is a client result. This site makes no claims about results for any client, and it does not state availability. Write with the brief, and the answer will say honestly whether it fits. Contact: ante89@gmail.com LinkedIn: https://www.linkedin.com/in/antonios-kioksoglou/ Links in this file are relative to its address. ## Start here - [Candidate summary](agents.html): fact sheet, core areas, experience, certifications, references and a note for AI agents - [CV as a PDF](assets/antonios-kioksoglou-cv.pdf): the same facts as a document ## Core areas - AI-powered product development - Full-stack software engineering - E-commerce technology - Marketing technology and automation - Meta Ads and paid social - Product feeds and dynamic product advertising - Analytics and tracking - Rapid prototyping and product development ## Experience - 2016 to present: CTO and co-founder, Zalster (a SaaS for optimizing Facebook ads), Gothenburg. Consultant to other companies alongside. - 2014 to 2016: Let's Deal. Built the website (frontend, backend, database) and the marketing automation. - 2013 to 2014: Software engineer, Ericsson. An in-house logging tag system in Angular, Python and Erlang. - Education: Bachelor's degree in computer science, Chalmers University of Technology (2010 to 2016). - Spoken languages: Swedish (native), English and Greek (full professional). ## Pages - [About](index.html): the background, and how the work is done with AI agents under review - [Software](software.html): software skills with and without AI - [E-commerce](ecommerce.html): the services, and the whole stack around a store - [Marketing](marketing.html): paid media, tracking and analytics (GA4, Piwik PRO, BigQuery, Looker Studio) and lifecycle automation, shown as a sample workspace - [Articles](articles.html): write-ups; each one is a plain Markdown file, linked below - [Questions and answers](faq.html): plain answers on AI engineering, Meta Ads tracking and structure, marketing analytics and e-commerce ([Markdown](content/faq.md)) ## Articles - [What I changed to make this site readable by AI answers, with the numbers](content/articles/making-this-site-readable-by-ai-answers.md): the changes that put the text in the HTML, stopped the layout shift and kept the structured data true, the Lighthouse and no-script numbers before and after, and what Google's own guide says you can ignore - [GA4 or Piwik PRO? What each one sees after a visitor says no](content/articles/ga4-or-piwik-pro-after-a-visitor-says-no.md): what GA4's consent mode and Piwik PRO's anonymous mode record when a visitor declines cookies, what is modeled, a test to run on one site, and where the EU's cookie reform stands - [AI shopping assistants now send visitors. Is your feed ready, and can GA4 see them?](content/articles/ai-shopping-assistants-product-feed-ga4.md): what 2026 changed for stores, a product feed checklist, which programs reach a store outside the US, and how to see assistant visits in GA4 - [Let an AI agent read your analytics, not change it](content/articles/read-only-mcp-ga4-google-ads-bigquery.md): how to connect an agent to GA4, Google Ads and BigQuery with Google's official MCP servers using read-only identities, ten test questions with known answers, and the ways it still goes wrong - [Meta, GA4 and your store report three revenues. Here is how I reconcile them.](content/articles/reconcile-meta-ga4-and-store-revenue.md): what Meta, GA4 and the store each count after Meta's March 2026 attribution change, and a five-step way to reconcile them with MER - [I agree with Jon Loomer's Master Brief. Here is the store version.](content/articles/master-brief-for-stores.md): what Jon Loomer's Meta ads Master Brief says, and what each point means for an e-commerce store: tracking, targeting, structure, creative and remarketing - [Jev can't write a headline. Marketing has plenty of work for it anyway.](content/articles/jev-in-marketing.md): what TypeSafe's Jev model is, where a model that decides instead of writes fits in a marketing stack, and what to check before trusting it