Case Studies
Systems built at the intersection of strategy and execution — each designed to produce a specific, measurable outcome.
forapplying.com
ATS Resume Engine
Job seekers spend hours tailoring resumes for each application, yet most get filtered out by ATS systems before a human ever reads them. Existing tools offer generic templates that don't account for how parsing algorithms actually score content.
MediumHQ — Research Pipeline
A multi-agent system that compresses the sourcing, synthesis, and structural groundwork behind long-form writing. Research and architecture handled by coordinated agents. Editing, voice, and judgment handled by the author.
The bottleneck in quality long-form writing is rarely the writing itself. It is the hours spent sourcing credible material, identifying the right angles, and building a structural foundation before a single sentence gets drafted. Doing that research manually is slow and inconsistent. Skipping it produces shallow content. MediumHQ was built to compress that bottleneck without replacing the human judgment that makes writing worth reading. The outcome was precise: a system that handles everything before the first draft, so the writing session starts with a full research brief rather than a blank page.
ConvoCompass
Language Learning Agent
Language learning apps optimize for vocabulary and grammar drills, but conversational fluency requires something different: the ability to think and respond in real-time, in context. Most learners plateau because they practice recognition (reading/listening) but never production (speaking/writing) in authentic conversational settings.
Agegency Ops
Multi-Agent Dashboard
Running multiple AI-powered products and agent pipelines creates an observability nightmare. Logs scatter across services, agent performance degrades silently, and debugging multi-step pipelines requires manually tracing execution across systems. Without centralized visibility, issues compound before they're detected.