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LoreDocs: a local knowledge vault
LoreDocs is a local knowledge vault for data engineers and AI practitioners -- durable, searchable storage for artifacts that outlive a single chat.
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Data Quality Lessons for AI Agent Pipelines
The same data quality failures that plagued ETL pipelines in the nineties are resurfacing in AI agent workflows -- and the fixes are identical.
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MCP Servers: AI Meets Your Data Stack
MCP servers give AI agents a typed, contract-driven interface to your data stack. Here is what they are, how they work, and how to build one.
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AI Memory for Claude: An Honest 4-Way Comparison
Four tools, four bets about what AI memory should do. Cost, privacy, and which wins for your workflow -- from a practitioner who built one of them.
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LoreDocs: Durable AI Knowledge Vaults
LoreDocs is a local knowledge vault for the structured artifacts that outlive any single conversation -- versioned, searchable, and model-accessible.
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Why your AI memory should not be Anthropic's job
Anthropic shipped zero platform-level memory in Q2 2026. Memory belongs at the product layer, not the platform -- what that means for your AI stack.
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Agentic AI Help: Scopes, Sprints, Red Flags
Audit, prototype sprint, embedded build -- what each format costs and the red flags that signal a vendor will burn your budget before delivering.
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When to Use LangGraph vs. Simpler Tool-Calling
The signals that single-shot tool-calling has become a liability -- and when LangGraph's explicit state and branching are worth the added structure.
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Cron'd Claude Agents: A Maintenance Log
Three months of running a fleet of twenty Claude agents on a schedule. What broke, why it broke, and the patches that finally made the fleet reliable.
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Why Consent and Provenance Are Worth Paying For
Free AI memory tools are impressive. Here is what they do not benchmark: consent model, provenance tracking, and verified cross-surface identity.
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