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AI Agent Practice Series for SMEs
Four posts: fundamentals, mail inbox, B2B sales, marketing performance
Topic cluster
How SMEs turn AI agents, multi-agent setups, and prompt engineering into concrete leverage — without losing themselves in the hype.
This cluster bundles our articles on AI agents, mail and marketing automation, multi-agent systems (MAS), prompt engineering, and AI-powered data analysis. Path: from understanding what is economically worthwhile, through concrete setups, to the question of when a synthetic influencer brings more backlash than reach.
Multi-part series that work a topic through end to end.

4
Four posts: fundamentals, mail inbox, B2B sales, marketing performance
All articles in this cluster, sorted by publication date.
Where Swiss SME budgets end, the interesting AI-powered influencer setup begins: realistic targeting, co-creation over broadcast, clear ethics guardrails. What works, what doesn't, what poses reputation risks — and which tools you actually need.
Read articleFive building blocks, seven strategies, one 2026 model matrix — plus concrete templates for email, sales, and AI-agent setups. End of output that sounds like a marketing intern: how to prompt AI so the answers are immediately usable.
Read articleFour hands-on posts on multi-agent systems for Swiss SMEs — with real setups (n8n, Gemini, Copilot, LangGraph).
Read articleRegression, clustering, time-series — sounds technical, but is more accessible than you think. With ChatGPT Code Interpreter and AI agents.
Read articleClassic marketing-automation tools compared, plus how AI agents are reshaping automation in 2026. A practical selection guide for SMEs.
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