Insights & Thinking

Practical guidance, research highlights, and engineering notes from Trillectra AI.

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Practical Generative AI: From Prototype to Production

Most teams can demo a chatbot. The hard part is building a system you can trust: measurable quality, guarded failures, and clear ownership. Here’s a pragmatic roadmap you can follow in weeks—not quarters.

11/18/2025
Michael Fayemiwo, PhD
~8 min
EngineeringGenerative AIProduction
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Responsible AI: Operationalising Ethics (Without Slowing Down)

“Be responsible” is not a strategy. This article translates fairness, transparency, and accountability into lightweight processes that teams can actually maintain—while shipping value.

9/2/2025
Michael Fayemiwo, PhD
~7 min
ResearchEthicsGovernance
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RAG for Knowledge Workflows: Building Assistants People Can Rely On

Retrieval-Augmented Generation helps reduce hallucinations and improves auditability—when implemented with the right chunking, ranking, and UX. Here’s a clear blueprint.

7/14/2025
Trillectra AI Team
~9 min
RAGEngineeringKnowledge Systems
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