AI tool comparison
Google AI Edge Eloquent vs Toki 2.0
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Productivity
Google AI Edge Eloquent
Free offline iOS dictation app powered by on-device Gemma ASR
75%
Panel ship
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Community
Free
Entry
Google AI Edge Eloquent is a free iOS dictation app released quietly on April 6 with no press announcement or Product Hunt launch. It uses on-device Gemma ASR models to transcribe speech, strip filler words, and polish raw dictation into clean prose — all without an internet connection. An optional cloud mode routes cleanup through Gemini for higher quality results. Unlike competitors Wispr Flow and Willow (both $15/month), Eloquent has no subscription and no usage caps. The app is built on the same Google AI Edge framework used in Google AI Edge Gallery, suggesting it's part of a broader push to normalize on-device LLM inference on consumer hardware. The quiet launch strategy is notable: no blog post, no social announcement, just a quiet App Store submission. This kind of stealth deployment suggests Google may be seeding on-device AI use cases without the usual hype cycle — testing user retention before investing in marketing. An Android version is widely expected given the AI Edge framework's cross-platform nature.
Productivity
Toki 2.0
Turn vague goals into time-blocked calendar schedules automatically
75%
Panel ship
—
Community
Free
Entry
Toki 2.0 takes the gap between intention and execution seriously. You type a goal — 'learn piano', 'ship the MVP', 'train for a half marathon' — and Toki converts it into a structured, time-blocked schedule on your actual calendar. The 2.0 update focuses specifically on handling vague inputs: goals without deadlines, interests without clear milestones, and ambitions without a plan. The engine behind it does two things: it breaks goals into concrete sub-tasks with realistic time estimates, and it finds open slots in your existing calendar to place them. It accounts for your current commitments, working hours preferences, and energy patterns based on historical scheduling behavior. The output is a calendar, not a to-do list — each item has a start time and a duration. This is an indie launch from a small team shipping on Product Hunt today. The concept is deceptively simple but the execution gap — converting 'I want to do X' into an actual calendar event with a specific time — is where most people's goals go to die. Toki makes that conversion automatic.
Reviewer scorecard
“The architecture here is the interesting part: Gemma ASR running fully on-device with optional cloud fallback for cleanup. This is exactly the hybrid inference pattern I'd want to build for privacy-sensitive voice apps, and Google just open-sourced the playbook by shipping it.”
“The calendar integration is what separates this from every other goal-setting app. Putting it on the calendar is the commitment. If this handles Google Calendar and Outlook reliably, it solves a real friction point. The 2.0 focus on vague inputs is the right problem to solve — structured goal input was always fake precision.”
“Free with no business model and no announcement sounds more like an experiment than a product. Google has a long history of quietly killing apps that don't get traction. I wouldn't build a workflow around Eloquent until it survives at least six months in the App Store.”
“Every AI scheduling tool faces the same cold-start problem: the AI doesn't know what your goals actually require, so it guesses. 'Learn piano' could be 15 minutes or 2 hours a day depending on your ambition level. Until AI scheduling has genuine context about your life and real feedback loops, these plans are mostly aspirational fiction dressed as a calendar.”
“Killing the $15/month subscription model for voice AI is a meaningful shot fired. When Google ships a free, offline-first dictation app powered by on-device models, it sets a new user expectation for the whole category. Wispr and Willow are going to have to respond.”
“AI-mediated time allocation is underrated as a category. Most knowledge workers have no systematic way to translate priorities into time. Tools that automate the scheduling layer — freeing humans to focus on defining what matters — are going to become standard productivity infrastructure within three years.”
“Filler word stripping plus prose polishing in a fully offline app is genuinely useful for writers and podcasters. I dictate first drafts constantly and having this work on a plane or in a dead zone without compromising privacy is exactly what I've been waiting for.”
“As someone who juggles creative projects alongside client work, the idea-to-calendar conversion solves a real problem. The question is whether it handles irregular schedules and creative flow states intelligently. If it just force-fits rigid blocks, it'll feel clinical. But the impulse is exactly right — intentions without time don't become reality.”
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