Max Nardit

Systems engineer exploring orchestration, memory, and execution models for agent-native software.

I study what changes when reasoning enters the execution path of software: how humans coordinate with agents, how context persists across work, and how systems remain observable and recoverable as autonomy increases.

Collaborations →About me →

> building systems where

humans and agents

coordinate without losing context

Thesis

Operating thesis

Models are becoming capable enough to act inside workflows. The hard part is no longer just generating outputs — it is state, handoff, verification, recovery, and control.

That is the layer I care about.

Focus

Current areas

Orchestration: Execution layers, control planes, and coordination patterns for long-running agents.
Memory & context: Scoped state that survives beyond a prompt without becoming noise.
Human-agent workflows: Interfaces, handoffs, approvals, and override paths between humans and autonomous systems.
Operational reliability: Making agentic systems observable, recoverable, and safe to operate.
Local-first tooling: Private, low-latency environments where agents can interact with real work without losing local control.

Writing

Recent writing

All articles →

May 16, 2026

Claude told me to go to sleep at 10:47 in the morning

Anthropic calls it a character tic. I went looking for what was actually producing it and ended up reading the published system prompt, the character training paper, and the emotion-concepts paper. The behavior is what the stack makes likely.

May 14, 2026

Anthropic put a meter on the rest of the agent

On June 15, programmatic Claude usage moves to a separate $20–$200 API-priced credit. The email arrived this morning. Here is what it actually means and what it teaches about building on someone else's compute.

April 29, 2026

Any paid Chrome extension can be rebuilt in 30 KB

Paid Chrome extensions are mostly paywall and analytics. With an AI agent you can rebuild any of them in one evening: 30 KB, no subscription.

Artifacts

Selected artifacts

These projects are practical experiments around the same problem space: how context, memory, and control behave in human-agent workflows. They are intentionally narrow, local-first where possible, and built from problems I hit directly.

Beetroot

Free

A local-first clipboard environment for preserving workflow context on Windows. AI transforms, OCR, smart search, unlimited history. Built around the idea that the clipboard is not temporary — it is part of workflow memory.

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Clipboard MCP

Open Source

A clipboard bridge between humans and AI agents. Read, write, and watch clipboard state through MCP. A small interaction primitive for agent-native workflows.

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