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Can AI Tools Actually Analyze Images in Knowledge Bases?
While modern tools can analyze images directly, most still struggle to interpret visuals embedded in knowledge bases—here’s why and what to do about it.
2 min read
Why Does AI Sometimes Duplicate Content as Raw Code Instead of Readable Format?
AI can duplicate content—but not always the way you expect. When outputs show up as raw code instead of clean formatting, it’s usually a sign of how the system stores and retrieves data. Here’s what’s happening and how to avoid it.
2 min read
Why Does Formatting Look Right in AI Chat but Break in Other Systems?
Why does formatting look perfect in AI chat but break in other systems? Learn how content generation and system conversion cause inconsistencies—and how to avoid them.
2 min read
Why Don’t <br> Tags Work When AI Outputs Content to Other Systems?
Why don’t <br> tags work when AI-generated content is pushed into other systems? Learn how formatting, encoding, and system constraints impact how content is rendered.
2 min read
Can Users Choose Between Multiple AI Agents in a Help Center?
Can users choose between multiple AI agents in a help center? Learn how most platforms handle AI assistants, why only one is shown, and what that means for user experience.
2 min read
Why Do AI Tools Struggle with Query Languages?
Why do AI tools generate queries that don’t work? Learn why AI struggles with query languages, when to rely on native tools, and how to use both effectively.
2 min read
Can AI Systems Be Tricked by Malicious Files?
Can AI systems be tricked by malicious files or hidden instructions? Learn how modern AI tools handle prompt injection, enforce security controls, and reduce risk.
2 min read
When Two Sources Say the Same Thing, Which One Does AI Use?
When two sources contain similar information, how does AI decide which one to use? Learn how retrieval works, why recency isn’t guaranteed, and how to avoid conflicting answers.
2 min read
Why Won’t an AI Assistant Execute Actions Like Posting a Comment?
Why won’t your AI assistant execute actions like posting a comment? Learn how context, permissions, and interface design affect whether AI can act—or just advise.
2 min read
Why Is AI Usage Showing “Administrative” Activity?
Confused by AI usage reports showing unexpected “administrative” activity? Learn how AI systems categorize usage, why it doesn’t always match user roles, and how to interpret the data more effectively.
2 min read
Are MCP Servers and AI Interfaces the Same Thing?
Confused about MCP servers and how they fit into AI? Learn how they act as the bridge between AI tools and enterprise data—and why that distinction matters.
2 min read
Is It a Bug, Limitation, or User Error? Troubleshooting AI
Struggling to figure out why your AI tool isn’t working as expected? Learn how to quickly identify whether the issue is a bug, a limitation, or user error—and troubleshoot with confidence.
3 min read
Enterprise AI Product Lifecycle
Enterprise AI products follow a predictable lifecycle—from strategic intent and architectural commitment to capability release, governance, monetization, and continuous iteration. Understanding these stages helps organizations anticipate what’s coming next, plan adoption more effectively, and build AI into their SaaS platforms with fewer surprises and stronger long-term outcomes.
4 min read
What Unified AI Adoption Really Means
Unified AI Adoption connects how individuals learn and experiment with AI to how organizations scale, govern, and sustain it. This article introduces a staged model that aligns personal and enterprise adoption—helping teams move from exploration to durable, responsible AI use.
4 min read
AI Governance in Finance: What to Fix Before Regulators Ask
As regulators increase their focus on AI adoption in financial services, institutions are being asked new questions about governance, monitoring, and operational risk. This article breaks down what regulators are watching and the practical steps financial organizations should take now—before oversight expectations tighten.
4 min read
Skills vs. Actions in AI Assistants: Understanding the Building Blocks
Skills and Actions may sound similar, but they serve distinct roles in AI tools like Rovo, Copilot, and Gemini. This post breaks down how each platform defines and uses them—and how understanding the difference can help you design smarter, modular workflows.
3 min read
AI in Service Management: What’s Changing & How to Stay Ahead
Explore how AI fits into service management today—whether it's assisting with tasks, handling them independently, or working in tandem with human team members. This breakdown shows which responsibilities are best suited for augmentation, automation, or hybrid execution.
3 min read
How to Write AI Agent Instructions (Rovo Example)
Out-of-the-box agent instructions are a good start—but custom ones unlock full potential. Learn how to structure powerful Rovo agents using task, context, persona, tone, and more. We’ll walk through a real example: the Rovo Enablement Expert.
4 min read
AI Reality Check: A Handful of Models Run Countless Apps
AI feels overwhelming with endless copilots and assistants, but most tools are built on the same few large language models (LLMs). OpenAI, Anthropic, Google, Mistral, and Meta power the majority of what you see. Once you recognize this, you stop chasing dozens of apps and start focusing on which interface best fits your workflow—making AI adoption simpler, smarter, and far less confusing.
3 min read
Key AI Terms You Should Know (Without the Jargon)
Confused by AI terms like agent instructions, prompts, or generative AI? This guide breaks down essential vocabulary for using AI at work—without the jargon. Learn the difference between prompts and prompt engineering, chatbots and AI agents, and how core AI providers power the tools you already use. Perfect for teams adopting AI or just getting started.
3 min read
Get to Know Make AI Work
Skip the hype—Make AI Work gives you the frameworks, use cases, and worksheets you need to adopt AI with clarity and confidence. Whether you're leading a team or just getting started, this book brings the Unified AI Adoption Model (PAAF + SAAF) to life in an 8-hour narrative packed with real-world examples and practical tools.
Available in paperback, e-reader and audiobook formats, it's your field guide to turning AI from buzzword into business value.
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