# AirJelly

> AirJelly is a context-aware proactive agent that resides on your desktop. It observes your screen, remembers your actions and preferences, and anticipates tasks to get work done.

- Type: AI tool
- Page: https://completeaitraining.com/ai-tools/airjelly/
- Published: 2026-04-29
- Updated: 2026-06-23
- Author: Jeroen Erne
- Jobs: Executives and strategy, Management, Operations
- Topics: Productivity
- Reading time: 2 min

### About AirJelly

AirJelly is a desktop AI agent that runs in the background, observing on-screen activity to capture intent and organize tasks without manual input. Its creators describe it as a "self-organizing second brain" that tracks commitments and follow-ups across applications. The tool launched recently and was built using Claude Code and Cursor.

### Review

AirJelly takes a different approach from prompt-based AI assistants. Instead of waiting for instructions, it watches what you do on your desktop and tries to surface tasks, promises, and follow-ups it detects in your workflow. The concept raises questions about accuracy and privacy that are still being worked out as the tool evolves.

#### Key Features

- **Screen context observation:** AirJelly monitors on-screen activities to understand what you're working on and who you interact with.
- **Intent capture:** The agent identifies to-dos and commitments from your workflow without requiring manual entry.
- **Follow-up tracking:** It logs personal interactions and surfaces promises made in conversations, so missed follow-ups are less likely.
- **Proactive task surfacing:** AirJelly foresees upcoming actions based on accumulated context and brings them to your attention.

#### Pricing and Value

The product page lists "Free Options" but does not detail specific pricing tiers or what the free tier includes. Pricing is not yet defined publicly.

#### Pros

- Runs passively in the background rather than requiring users to switch to a separate interface.
- Captures tasks from actual workflow context, which can catch items that slip past manual to-do lists.
- Follow-up tracking across apps addresses a common gap where verbal or chat-based promises get lost.
- Built by a small team shipping quickly, with direct feedback channels visible in the launch forum.

#### Cons

- Misreading context is a real risk - the agent may surface tasks or promises the user doesn't recognize as their own intent.
- Correction mechanisms are not yet clear; users in the forum asked how to fix wrong assumptions without breaking the learning model.
- Not well suited for users handling sensitive or regulated information who cannot permit broad screen observation across applications.

AirJelly fits scenarios where a user's workflow spans multiple apps and follow-ups frequently fall through the cracks. It's less appropriate for environments with strict data boundaries or where the cost of a misread action outweighs the benefit of passive capture. The tool's approach to proactive context awareness is a shift from prompt-driven assistants, but its practical reliability still needs to be demonstrated as more users test it.

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