Why More Context Can Make an AI Agent Worse
A larger context window gives an agent more room. Filling that room with stale instructions, duplicated facts, and raw tool output can make the agent less reliable.
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6 related items across notes, deep dives, spotlights, and projects.
A larger context window gives an agent more room. Filling that room with stale instructions, duplicated facts, and raw tool output can make the agent less reliable.
Tailscale can connect user devices, agent hosts, private MCP services, data, automation, and SSH without publishing each service to the internet.
A model can only use a tool as well as the interface describes the job, constrains the inputs, reports the result, and supports recovery when something goes wrong.
When an AI agent fails, the final answer is rarely enough to explain why. A useful trace preserves the path without turning every private detail into permanent telemetry.
Paperclip sits above agent runtimes as a self-hosted control plane for goals, org charts, tasks, budgets, approvals, and audit trails.
A sandbox limits where an agent can act when code, tools, or instructions go wrong. It is containment—not permission, judgment, or trust.