Local Knowledge Base Search With FTS5 and Vector Embeddings—No Cloud Required
Most knowledge base solutions for AI systems assume you’ll use a cloud vector database. We built a fully local system […]
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Practical thoughts on AI, automation, and what it really takes to make technology work for your business.
Most knowledge base solutions for AI systems assume you’ll use a cloud vector database. We built a fully local system […]
Read MoreIf you run AI agents at any real volume, token costs compound fast. We built a lightweight proxy layer that […]
Read MoreEvery multi-agent AI system eventually hits the same problem: an agent reaches a step it can’t complete without human input. […]
Read MoreOne of the core problems in multi-agent AI systems is context fragmentation. Each agent only knows what it was explicitly […]
Read MoreWe built and ran a fully autonomous B2B outreach pipeline—from prospect identification to personalized email delivery to reply classification—with zero […]
Read MoreWhen you run 35 autonomous agents, the question isn’t whether something will break—it’s whether you’ll know when it does. We […]
Read MoreMost people think of AI as a tool you open, type into, and close. What we built is different: a […]
Read MoreHow to start an AI project at your small business the right way — begin with a specific problem, pilot before scaling, and define…
Read MoreAI for retail businesses goes far beyond chatbots — inventory alerts, abandoned cart recovery, review automation, and smarter scheduling.
Read MoreWhat a good AI consulting engagement actually looks like — and red flags that signal you're about to overpay for under-delivery.
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