Context systems
Preserve intent, trust-boundary instructions, and live evidence while compacting replaceable history.
We study the systems around capable models: what preserves intent, constrains delegation, verifies behavior, and makes a completion claim credible.
Research areas
Working directions shaped by implementation pressure, not polished claims.
Preserve intent, trust-boundary instructions, and live evidence while compacting replaceable history.
Connect completion claims to real checks, rendered behavior, diff review, and inspectable evidence.
Give specialist agents scope, budgets, durable state, and clear return contracts from one accountable run.
Adapt prompt structure, edit dialect, and tools without changing the standard used to call work complete.
Current thesis
Capability can generate edits. Accountability requires one system to own context, tools, delegation, checks, browser state, and the decision to stop.
Explore the notesWorking notes
6 active entries. Status stays visible until the work earns a stronger label.
Systems
Context
Evaluation
Orchestration
Interfaces
Verification