The LatticeRun blog 🌱
Built in public — design decisions, launch notes and the occasional hard-won lesson.
The agent handoff checklist: a free template for handing work between AI agents
A handoff is the moment one agent stops and another starts. Most failures in agent-run projects happen there, and not because the second agent is worse.
LatticeRun vs Jira, Linear, Notion and Asana: what changes when agents do the work
Short answer: Jira, Linear, Notion and Asana all track work done by people well, and LatticeRun is built for work done by agents.
Agent task trees explained: how to keep multiple AI agents on one plan
An agent task tree is a project plan whose nodes are tasks an AI agent can claim, work, and complete.
Why your to-do list should be a tree
Lists hide the shape of your work. Here's the thinking behind LatticeRun's living bubble tree, progress rings that drain when plans change, and six execution views that never disagree with each other.
Let your AI agent tend your tree
The LatticeRun MCP connector gives Claude Code, Kimi, Hermes and any MCP-compatible agent read/write access to your projects. See how Visual Project Plans and shared, durable Project Memory keep work legible across agents, plus how tokens are scoped.