Building AI Assistants: The Real Leverage is in Context Layers and Architecture
Al_Grigor · x · 2026-08-10
In a recent interview, pauliusztin dived deep into engineering custom AI assistants. He argues that as models become increasingly interchangeable, true leverage no longer comes from the models themselves, but from the engineering architecture surrounding them.
He shared several key insights and practices:
- Context is King: Context accounts for 90% of the challenge when building useful assistants, and your 'second brain' should be transformed into an AI context layer.
- Memory Systems: He advocates using a wiki-based memory system instead of a traditional RAG pipeline.
- Workflow Separation: When generating content with AI, the reasoning process should be strictly separated from the actual writing phase.
This architecture translates seamlessly from content creation pipelines to broader AI engineering workflows.
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