Outcomes, not outputs.
Every engagement produces measurable results. Here is what that looks like.
“Zero governance violations. Zero human intervention.”
A multi-agent content system was generating output that violated every voice governance rule. The style guide itself was training agents to break compliance. We built a four-layer self-heal pipeline. Result: zero violations across 13 pattern groups, zero human intervention.
Read case study →“Zero cross-contamination across 42+ projects after isolation fix.”
A multi-project chain engine was silently cross-contaminating outputs — PRDs for one project saved to another's directory. The RESUME-COMPLETE feature had no project guard. We built a three-layer isolation fix with project-aware resume, target field validation, and template portability. Result: zero cross-contamination, 83% throughput recovery, and templates that work on any project.
Read case study →“200MB Docker image savings, 6× more cover candidates, 0 regressions — in one session.”
An AI-native publishing platform hit a quality ceiling: its cover pipeline used Node.js + Chromium for typography, producing 1 cover per run with rubber-stamp quality control. In one session we replaced the compositor with Python/Pillow, added multi-seed batching with VLM critic scoring, and built CoverPromptSchema for structured prompts. Result: 200MB Docker image savings, 6× more cover candidates, 140 tests passing with 0 regressions.
Read case study →Your case study here.
Every engagement produces outcomes we turn into case studies.
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