The AI Coding Promise: Why “Just Chat and Build” Isn’t Ready Yet
What we learned testing multiple no-code AI platforms on real client projects The promise being sold everywhere: just chat with an AI agent and it will build a robust application to solve your business problems. The reality? It’s not quite there yet. You might get simple sites or basic apps, but anything requiring complex logic […]
Why Marketing Automation Experience Is Perfect AI Training
How solving integration nightmares prepared us for the AI implementation challenge The issue with implementing AI solutions isn’t new – we’ve seen it before in marketing automation. Businesses face the same choice: invest in what we termed “messiah” gold-plated solutions which on paper offers a comprehensive solution which would solve all their problems. What follows […]
Why Simple AI Agents Beat Complex Ones Every Time
The production reliability lesson that changed how we build AI workflows AI agents in production need to deliver consistent results with one shot at getting the answer right. Unlike ChatGPT conversations where you can refine and iterate, production agents don’t get do-overs. This creates a temptation to pack everything into a single, comprehensive prompt – […]
The AI Investment Timing Dilemma: Jump In Now or Wait for Costs to Drop?
Why the “perfect timing” strategy might cost you more than early adoption Every business leader faces this challenge: AI technology is advancing rapidly, and implementation costs are dropping just as fast. Do you invest now and risk paying premium prices, or wait 6- 12 months for cheaper solutions while your competitors gain ground? Both strategies […]
The 80% Rule: Why Small AI Wins Beat Big AI Projects
What seven years of marketing integrations @conversion-science taught me about practical AI implementation Working with large brands on marketing integration projects, we learned something counterintuitive: their automation ambitions were massive, but their internal development teams and big consulting partners would take years to deliver comprehensive solutions. Meanwhile, practical business problems went unsolved. We found that […]
