Tag: case-studies

All the articles with the tag "case-studies".

• Does WebMCP Pay Off for Content Sites?

  4 Oct, 2026 • Updated 5 Oct, 2026

  Across 135 agent runs on a production blog, shrinking a four-tool WebMCP surface yielded little median-token benefit; relevance ordering mattered more.

• How Much Tool Documentation Do AI Agents Actually Need?

  19 Sep, 2026 • Updated 4 Oct, 2026

  Trimming MCP tool-definition prose cut cold-call input tokens 12-14% with no statistically detectable accuracy loss across two model tiers.

• Open-Weight LLMs Reach the Structured Output Quality Ceiling

  8 Jul, 2026 • Updated 4 Oct, 2026

  Open-weight models now match closed-source on structured output at 95x lower cost. Pre-registered blind eval, 30 samples, zero quality delta.

• AI Adoption in Engineering: Breaking the 50% Plateau

  29 May, 2026 • Updated 4 Oct, 2026

  Purpose-built AI tooling cuts per-task cost 21-68%. Three-cohort model and four-phase operating framework for engineering leaders past the 50% adoption plateau.

• SRE for AI Agents: Error Budgets, Trust, and 90 Trials

  9 Mar, 2026 • Updated 4 Oct, 2026

  Can an AI agent predict scope without hallucinating? We ran 90 trials. It added 1.7 phantom files per change. Error budgets and trust ladders are the gate.

• What a Null Result Taught Us About AI Agent Evaluation

  23 Feb, 2026 • Updated 4 Oct, 2026

  We tested prompt repetition on 20 parallel AI agents. Ceiling effects dominated both experiments. The null result is a finding about evaluation design.