Insights
Practical lessons from putting AI, databases and cloud infrastructure into production, drawn from the systems we build and run for our clients and our own products.
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What Is an MCP Server? Give AI Agents Validated Tools, Not Guesses
What an MCP server is, why it has become the standard way to give AI agents tools, and what we learned building one for address validation.
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Setting AI Confidence Thresholds from the Cost of an Error: Lessons from Cerberus ID
How Cerberus ID turns a fraud score into approve, check and reject zones, and how calibrating against 10,806 real registrations raised auto-approval precision to 99.5% with 78% fewer false approvals.
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How Our Spam Filter Decides Over 78% of Messages Before Calling an LLM
SPAM Escudo filters contact-form spam in five stages, with the LLM last. Every LLM verdict teaches the cheap stages to catch more, and a weekly AI-assisted review of what still reaches the…
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Local AI on a CPU: How a 270M-Parameter Model Makes Invoice Processing Practical
How Transit Ledger processes invoices and receipts entirely on a local CPU server: a tiny classifier gates a 4B extraction model, code checks the totals, and real-world data exposed a shortcut the…
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AI Agents in Production: From Experimentation to Business Value
How to take AI from experiment to production while keeping cost, accuracy and risk under control: a cascade that uses the right technology for each step, with real results from spam filtering,…