DoneThat vs Mediar.ai
AI tool that captures screen and audio to create automated workflows.
Desktop AI Assistants: side-by-side
This field is quickly evolving. I am focusing on assistants that live on your desktop.
| Tool | Proactive | Call transcription | Pattern detection | Integrations |
|---|---|---|---|---|
Privacy-first work tracker and AI coach Best for: AI assistant for productivity and light work support. | Yes | Audio understanding | Yes | API, MCP |
AI tool that captures screen and audio to create automated workflows. Best for: Building automations from your screen activity and calls. | -No | Audio understanding | -No | AI keyboard & mouse input |
Mediar.ai is best for
Building automations from your screen activity and calls.
DoneThat is best for
AI assistant for productivity and light work support.
See the full desktop ai assistants comparison or visit Mediar.ai.
AI-generated comparison
Prompt
Compare https://donethat.ai/ and https://www.mediar.ai/ honestly. Check both websites yourself, then summarize where DoneThat is stronger and where Mediar.ai is stronger. Do not rank them globally.
Result
DoneThat and Mediar.ai solve fundamentally different problems despite both leveraging AI on the desktop. DoneThat is a self-serve productivity and automated time-tracking app for individual knowledge workers, with transparent low monthly pricing and an AI coach. Mediar.ai is an enterprise-focused desktop RPA replacement that records and runs Windows workflows on legacy systems like SAP, sold through booked calls and demos. Each wins for a different buyer.
DoneThat stronger
- Transparent self-serve pricing starting at $4/month with a 14-day trial lets an individual evaluate and adopt without sales contact, whereas Mediar.ai routes everything through a booked call.
- Clear positioning for individual knowledge workers, freelancers, and founders, with eight named-role testimonials that match that buyer rather than enterprise IT.
- Stronger privacy story for end users, including an open-source desktop app, local processing options, and user-controlled data sharing.
- Broader lightweight integration surface for individuals via API, MCP, Zapier, and n8n, making it easier to wire into a personal stack.
- A concrete productivity narrative (AI coach 'Don', readable work summaries, claimed ~23 hours/week saved) that speaks directly to a single user's daily workflow.
Mediar.ai stronger
- Much clearer enterprise ROI framing, with testimonials citing 70% cost savings versus UiPath and $80k annual savings that resonate with finance and IT buyers.
- Targets a higher-value pain point by replacing legacy RPA on SAP, Oracle, and Excel workflows rather than optimizing personal time.
- Concrete reliability and architecture claims (99.9% via OS-level accessibility APIs, self-healing against UI changes) that procurement teams can evaluate.
- Faster time-to-value pitch for automation projects, contrasting one-week deployment against 6-18 months for traditional RPA.
- Operational visibility built in, with a real-time dashboard showing performance metrics and cost tracking suited to managing automations at scale.
Explore related pages
Productivity Coaching
Meet Don, the AI coach inside DoneThat that turns your work patterns into practical coaching, goals, and next steps.
ExploreFeature Overview
Explore DoneThat features for AI time tracking, automatic summaries, productivity coaching, privacy controls, and team visibility.
ExplorePrivacy
Learn how DoneThat protects your data with privacy controls, secure architecture, local capture options, and AI data handling.
ExploreReady to try DoneThat?
Fully automated AI time tracking and coaching. 14-day free trial.