Insights on project management, Microsoft Project migration, and AI-powered planning.
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AI agents in software development are strong at triage, reproduction, and mechanical fixes, and weak at architecture and judging whether a requirement is right.
Onplana vs Trello: Trello has no native task dependencies, critical path, or resource pool. Here are the four moments teams actually outgrow a board.
Reviewing AI-generated work fails when quality gets checked first. Catch confident wrongness and silent omission by checking scope before judging polish.
AI guardrails vs permissions: a permission decides what one identity may do; a guardrail decides what any identity may do here. Most teams have only one.
Onplana vs Linear: Linear is fast, keyboard-driven issue tracking with no dependency types, critical path, or resource pool. Here is the honest split.
An MCP connector is a scoped binding between an AI client and one tool: a permitted tool catalog, not admin access. What approving one actually grants.
Permissions for AI agents need three things human roles skip: per-project scope, deny-by-default on irreversible actions, and a real read versus change split.
Onplana vs Zoho Projects: Zoho wins on suite pricing and ecosystem lock-in. Onplana wins on scheduling, with Gantt and critical path free on every plan.
A tool call is how an AI model asks a system to act. The model proposes it, but the system, not the model, decides whether it's actually allowed to happen.