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 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.

April 4, 2026

The Invisible Backslash: How a Shell Escaping Bug Silently Corrupted 20 Releases

Tauri-action signing key kept failing after 20 working releases. The fix: a literal backslash hidden inside the password by shell-quote escaping.

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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