AI Engineering student · building Human-Agent Interfaces
Projects · HAI · Agent context · How I build
I build systems for working with AI agents without giving away human ownership.
My work sits between agent orchestration, context systems, verification loops, and AI-native learning tools. I care less about making agents appear autonomous and more about making human intent executable, inspectable, and recoverable.
- 🎓 Studying AI Engineering
- 🧠 Building with Codex, Claude, Hermes, local tools, and knowledge graphs
- 🛠️ Interested in agent reliability, context engineering, evaluation, and human agency
- 🔭 Turning real friction into small, testable systems
HAI is my attempt to build a better control layer for working with AI.
Explore the project at human-agent-interface.com.
human intent
↓
context · routing · memory
↓
scoped agent work
↓
verification · handoff
↓
owner decision
Agents should increase a person’s capacity to act — not quietly replace their ability to decide.
| System | Focus |
|---|---|
| HAI / Hermes | Human-owned agent routing, roles, recovery, and handoffs |
| Knowledge systems | Source-aware context retrieval instead of invented certainty |
| Agent evaluation | Reproducible checks for prompts, tools, and agent workflows |
| Learning systems | AI tutors and interactive tools that preserve understanding |
| Small product prototypes | Turning an observed problem into a useful, verifiable artifact |
observe a real failure
↓
define a narrow owner-controlled task
↓
build the smallest useful artifact
↓
verify against concrete evidence
↓
keep or discard the system
- Context before action.
- Small scopes before broad refactors.
- Evidence before confident claims.
- A green tool output is not automatically a finished outcome.
- Human approval matters when a decision has real consequences.
What “human-owned” means
An agent may research, draft, build, test, or summarize.
But it should not silently redefine the goal, overwrite important work, or turn uncertainty into a confident story. Important decisions remain visible and attributable to the owner.
What I mean by verification
A file existing is not proof that a system works.
I prefer concrete checks: real outputs, test runs, source contracts, runtime evidence, and an explicit statement of what was not verified.
- Visit human-agent-interface.com
- Browse my public repositories
- Start with the projects pinned on my profile
- Follow the artifacts: system design, source code, checks, and demos
