Ai

We built an internal knowledge base server to give our AI agents access to Conselara’s company data — capabilities, past performance, GSA rates, certifications. The idea was straightforward: expose it as an MCP server so any AI client could query it semantically. It worked in Claude Code. It worked nowhere else. What MCP promises The Model Context Protocol is Anthropic’s open standard for connecting AI models to external tools and data sources. The pitch is compelling: define your server once, and any MCP-compatible client can call it. Claude Code has native MCP support. The ecosystem is growing. ...

We are integrating AI across several workstreams on a federal health research information platform. Publication discovery — using LLMs to surface relevant PubMed research, reducing manual literature review time and improving coverage across a high-volume publication landscape. LLM comparative evaluations — running structured benchmarks across models to assess quality, consistency, and cost for specific content tasks on the platform. Evaluations are task-specific rather than general — we score against real outputs the platform needs to produce. ...