Agnost AI vs Juno: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Agnost AI and Juno — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Agnost AI

Agnost Tech Inc

Freemium

Product analytics for conversational agents that surfaces silent failures, user frustration and policy violations across every conversation.

Silent Failure Detection: Reads each trace next to the conversation to catch cases where the run reported success but the user got nothing useful, including broken promises and confidently wrong answers.
Automatic Conversation Clustering: Turns thousands of chats into ranked recurring problems, ordered by user impact and ready to investigate rather than left as raw logs.
Frustration and Churn Signals: Pinpoints where users rage-prompt, get stuck or abandon the conversation, so churn drivers are visible before the user leaves.
Policy and Quality Violation Alerts: Flags hallucinations and quality, policy and compliance breaches with the exact conversation and trace behind each one.
Evidence-Backed Fix Recommendations: Hands over the highest-impact fixes with supporting evidence, a recommended change and the evals needed to ship it safely.
Two-Step Skill Install: Connects to an existing agent by installing an agent skill and running one prompt, with no rebuild of the agent and no separate implementation project.
Feature Request Mining: Surfaces what users repeatedly ask for across conversations, turning support volume into a prioritised roadmap signal.
Live Demo Without Signup: Ships a public interactive demo where you can click any insight and inspect the underlying conversations before creating an account.

Diagnosing Agent Churn: Finding the recurring conversation pattern that makes users abandon a support agent, with the specific chats as evidence.
Auditing Production Agents for Compliance: Reviewing conversations for policy violations and unsupported claims across real traffic rather than a hand-picked sample.
Prioritising Agent Improvements: Deciding which prompt or flow to fix next based on how many users hit each failure cluster instead of on anecdote.
Catching Regressions After a Prompt Change: Watching whether a newly shipped change increases silent failures or user frustration in live conversations.
Building Evals from Real Failures: Turning observed production failures into regression evals so the same bug does not ship twice.
Mining Conversations for Roadmap Input: Extracting repeated feature requests from support and sales chats to feed product planning.

Free

Free local voice layer for Mac that turns speech into clean text in any app with live transcription, voice actions, and offline private dictation.

Live Transcription HUD: Shows your spoken words in real time in an on-screen heads-up display as you talk.
System-Wide Dictation: Inserts clean, formatted text directly into whatever Mac app you are currently using.
Voice Actions: Edit and format text hands-free using spoken instructions.
Voice Commands: Trigger actions and shortcuts with your voice.
Offline Private Mode: Processes dictation locally on your Mac after setup, with no cloud dependency.
No Account Required: Works with no sign-in, no card, and no subscription.

Hands-Free Writing: Dictate emails, notes, and documents directly into any Mac app.
Private Dictation: Transcribe sensitive content fully offline without sending audio to the cloud.
Faster Drafting: Capture thoughts quickly by speaking instead of typing.
Accessibility: Provide a voice-driven input method for users who find typing difficult.
Coding & Chat Prompts: Speak prompts and messages into editors and chat tools without breaking flow.