Thoughts on AI, practical implementation, and building technology that makes a difference.
Codex and Claude Code show what serious AI agents look like in practice: context-aware systems that use tools, edit real work, run checks, and stay inside guardrails.
Model Context Protocol (MCP) addresses a fundamental challenge in AI adoption: connecting intelligent systems to business data. Learn how this open standard is changing enterprise AI integration and what it means for Swiss businesses.
With Claude 4, GPT-4.1, and Gemini 2.5 all offering compelling capabilities, which AI API should you choose for your business? Get practical insights on performance, pricing, and use cases to make informed decisions.
AI isn't magic—it's math. Demystify how models like ChatGPT generate text, token by token. Understand the core concepts that dictate AI's strengths and weaknesses, and learn how to leverage them for your business.
We're moving beyond chatbots. Discover how AI agents autonomously plan, use tools, and execute complex business workflows. This guide demystifies the agentic shift, showing you how AI now acts on your behalf.
Feeling lost in the maze of AI tools, developer aids, no-code platforms, and automation services? Understand the landscape, know when to use what, and make smarter technology choices for your business.
Beyond chatbots lies the promise of AI Agents – AI that can plan, use tools, and act autonomously. Explore their potential, the real challenges, and how businesses can prepare for this next wave.
Where is AI practically heading for businesses beyond the current hype? Explore tangible trends like hyper-automation, sophisticated RAG, and truly useful AI agents poised to reshape workflows.
Think you need massive datasets like Google or Meta to benefit from AI? Think again. Many high-impact AI solutions, especially for SMEs, can be built using your existing, focused business data.
Ever wondered how a custom AI solution goes from an idea to a working system? Peek behind the scenes at Fanktank's collaborative and precise process for building tailor-made AI.
Getting ready to build a Retrieval-Augmented Generation (RAG) system? The quality of your input data is paramount. Follow this practical checklist to prepare your documents for optimal performance.
Worried about AI making things up? Explore 'hallucinations' in Large Language Models and understand how Retrieval-Augmented Generation (RAG) provides a crucial grounding mechanism for reliable, trustworthy AI answers in business.
Implementing AI in Switzerland? Understanding the Federal Act on Data Protection (FADP) is crucial. Learn key considerations for ensuring your AI projects comply with Swiss privacy regulations.
Is valuable information buried in your company documents? Discover Retrieval-Augmented Generation (RAG), the AI technique transforming how businesses access and utilize their internal knowledge.
Standard AI tools are powerful, but sometimes your unique business challenges require a custom-built solution. Learn when bespoke AI development is the right choice and how Fanktank delivers it.
The AI model landscape is exploding. Forget the hype – which Large Language Models (LLMs) offer the best practical value, cost-effectiveness, and reliability for Swiss SMEs today?
Feeling overwhelmed by AI? Learn how Small and Medium Enterprises in Switzerland can take pragmatic first steps into AI, focusing on real value, not hype. Identify low-risk, high-impact projects.
