Helping you build agents that demonstrably work. A growing ecosystem of projects — usable together or individually — for composing, evaluating, and understanding agent behavior. Experiments that prove the approach works, with published data and reproducible results. By Mark Pollack, creator of Spring AI.Documentation Index
Fetch the complete documentation index at: https://lab.pollack.ai/llms.txt
Use this file to discover all available pages before exploring further.
Core Projects
Agent Workflow
Multi-step agentic pipelines with typed context, quality gates, and portable runtimes
Agent Judge
Evaluation with deterministic, command, and LLM judges
Loopy
Interactive coding agent CLI for Java developers
Agent Client
Claude, Gemini, Codex, Amazon Q as unified Spring services
Agent Journal
Behavioral trace capture for analysis and observability
Agent Bench
Benchmarking on real enterprise Java tasks
Latest Experiments
Code Coverage v2 — Skills vs Knowledge Bases
Do structured skills outperform flat file injection? 7 variants, N=3
Mar 2026 · In Progress · Details →
Code Coverage v1 — Knowledge Injection Baseline
9 variants testing progressive knowledge injection on Spring Boot test generation
Feb 2026 · Complete · Details →
pollack.ai · Blog · GitHub