A Simple AI Use Policy Your Team Can Follow
For business owners: set clear boundaries before your team adopts AI.
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40 new short reads for 2026, plus six foundational guides. Practical ideas for safer systems, useful AI, and better everyday operations.
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For every team: keep essential security controls in your IT plan.
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Practical AI
A Simple AI Use Policy Your Team Can Follow
Set clear boundaries for AI tools, business information, and human review.
Read article : A Simple AI Use Policy Your Team Can FollowPractical AI
Better Prompts Begin with Clear Success Criteria
Describe the task, its context, and what an acceptable answer must contain.
Read article : Better Prompts Begin with Clear Success CriteriaPractical AI
RAG: Let AI Work with Your Business Knowledge
Retrieve relevant documents before generating an answer, and keep the source material current.
Read article : RAG: Let AI Work with Your Business KnowledgePractical AI
Test Your AI Assistant Before Customers Do
Use realistic questions and explicit expectations to catch failures before release.
Read article : Test Your AI Assistant Before Customers DoPractical AI
Prompt Caching: Reuse Context, Measure the Benefit
Repeated context can reduce processing overhead when the provider supports caching.
Read article : Prompt Caching: Reuse Context, Measure the BenefitPractical AI
Structured AI Output Makes Integrations Easier
Use a defined schema when software needs to consume an AI response.
Read article : Structured AI Output Makes Integrations EasierPractical AI
Use Batch Processing for AI Work That Can Wait
Separate interactive requests from large jobs that do not need instant results.
Read article : Use Batch Processing for AI Work That Can WaitPractical AI
More AI Agents Do Not Automatically Mean Better Results
Choose an orchestration pattern only when the task needs the extra coordination.
Read article : More AI Agents Do Not Automatically Mean Better ResultsAI Security
Prompt Injection: Treat Retrieved Text as Untrusted Input
Documents and web pages can contain instructions that try to redirect an AI system.
Read article : Prompt Injection: Treat Retrieved Text as Untrusted InputAI Security
Keep Sensitive Data Out of Unapproved AI Workflows
Understand what an AI service receives and what its answers might expose.
Read article : Keep Sensitive Data Out of Unapproved AI WorkflowsAI Security
Know Where Your AI Models and Packages Come From
Treat models, adapters, and third-party packages as software supply-chain dependencies.
Read article : Know Where Your AI Models and Packages Come FromAI Security
Data Poisoning: Protect What Your AI Learns and Retrieves
Untrusted content can undermine both model behaviour and business knowledge retrieval.
Read article : Data Poisoning: Protect What Your AI Learns and RetrievesStart with the foundations
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