Insights & updates
Engineering notes, product releases, and lessons from building software that ships.
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Multimodal AI in Healthcare: How Combining Text, Images, and Audio Is Changing Clinical Decision-Making
A clinician making a diagnosis does not work from a single data source. They read the patient history, review imaging, listen to the patient…
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What Is Multimodal AI and Why Is It the Next Big Shift in Enterprise Technology?
Most enterprise AI systems built over the last decade share a fundamental limitation that has become more visible as AI capabilities have matured. They…
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The Most Common Mistakes Companies Make When Planning Their First AI Investment
The organisations that struggle most with their first AI investment are rarely the ones that chose the wrong technology. They are the ones that…
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AI Readiness Assessment: How to Know If Your Business Is Ready to Invest in AI
Investing in AI before your organisation is ready to support it is one of the most reliably expensive mistakes a technology leader can make.…
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How to Build an AI Strategy That Actually Gets Approved and Executed
The technology leaders who struggle most to build an AI strategy are not the ones who lack good ideas. They are the ones whose…
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How to Build an AI Agent That Integrates With Your Existing Business Systems
An AI agent that operates in isolation from your existing business systems is not an operational tool. It is a demonstration. The value of…
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What Is an AI Agent and How Is It Different From a Chatbot or Automation Tool?
The terminology around AI has a consolidation problem. Chatbots, automation tools, AI agents, and agentic systems are being used interchangeably in vendor materials, conference…
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7 Types of AI Agents Every Business Should Know About in 2026
Deciding to invest in AI agent development without understanding the different types of agents available is a bit like deciding to hire someone without…
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How to Build a RAG System That Gives Accurate, Sourced Answers From Your Own Data
The gap between a RAG system that impresses in a demo and one that your team trusts and uses every day is almost entirely…
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RAG vs Fine-Tuning: Which One Is Right for Your Knowledge Management Use Case?
If you have spent any time evaluating AI for knowledge management, you have almost certainly encountered the RAG vs fine-tuning question. Both approaches promise…