Jev: A New Kind of AI Model for Typed Decisions
Build a Python expense-policy workflow that uses Jev for typed semantic decisions while deterministic code owns amounts, dates, duplicates, thresholds, audit records, and final routing.
Long-form AI engineering articles for systems, workflows, architecture, and production decisions.
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10 articles found
Build a Python expense-policy workflow that uses Jev for typed semantic decisions while deterministic code owns amounts, dates, duplicates, thresholds, audit records, and final routing.
Loop engineering moves AI work from one prompt at a time to bounded control systems with triggers, gates, state, budgets, and escalation paths.
A gateway that discovers, validates, and delegates to a remote specialist over A2A. Both agents run on Microsoft Foundry and deploy to Azure Container Apps from one image.
Build a durable local-first agent workflow in C# with narrow roles, deterministic policy-bounded execution, live runtime logs, and restart-safe state, using home repair as the concrete example.
Build a grounded local-first multi-agent research workflow in C# with deterministic retrieval, narrow agent roles, structured JSON contracts, and final citation validation.
Build a local-first incident triage agent with Microsoft Agent Framework using structured workflows, deterministic policy enforcement, and explicit runtime guardrails.
Build a local-first .NET intent router that keeps routing, tools, and safety deterministic while using embeddings only for disambiguation under controlled thresholds.
Build a reactive local AI agent using Semantic Kernel and Ollama for deterministic tool execution and natural language reasoning.
Build a production-ready MCP setup in C# and .NET 9, integrating a simple time tool with Ollama for deterministic AI workflows.
Dive into Semantic Kernel for orchestrating AI and deterministic code in hybrid workflows, with a deep dive into a sales analytics application.