adsideō

What is adsideō

Adsideō is an ambient intelligence layer for Mac that runs locally on your device. It uses a local LLM to understand your current work context and surfaces quick, relevant suggestions—like follow-ups, fixes, files, or next actions—at the right moment, helping you stay in flow without switching context.

How to use adsideō

1. Install the app on your Mac (Apple silicon M1–M5).
2. Work normally—Adsideō runs quietly in the background, capturing local context from your screen, meetings, files, and apps.
3. Receive suggestions as compact actions that appear when they can save you time.
4. Approve or ignore each suggestion with a single click to keep moving.

Features of adsideō

• Ambient awareness – Notices useful signals across screens, meetings, files, and apps without interrupting your flow.
• Local LLM reasoning – Small local models understand current context and match it to what helped before.
• Quick suggestions – Surfaces follow-ups, fixes, files, or next actions at the moment they can save time.
• Privacy-first – Local by default with clear controls; no mystery training pipeline.
• Minimal interface – Suggestions appear without pulling you away from your work.

Use Cases of adsideō

• Follow-ups – After a meeting or email, Adsideō suggests the next action or reply.
• Fixes – When you encounter an error or inconsistency, it offers a quick correction.
• File retrieval – It surfaces the file or document you need based on current context.
• Context switching – When moving between tasks, it reminds you of relevant information or pending items.

Pricing

• 14-day free trial – Start with no commitment.
• $15/month after the trial ends.
• Early users help shape the private beta before public release.

FAQ

Is my data private? Yes. Adsideō is local-first by default with clear controls. Your work context stays on your Mac and is not used for training external models.

What Macs are supported? Apple silicon only: M1, M2, M3, M4, and M5 chips.

How do I get early access? Sign up with your email on the website to reserve early access. The first 200 users receive a download link immediately; others are added to a beta list and receive links in batches.