Agnost AI vs SKI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Agnost AI and SKI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Agnost AI
Agnost Tech Inc
Product analytics for conversational agents that surfaces silent failures, user frustration and policy violations across every conversation.
Key features
- 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.
Best for
- 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.
SKI
agentcall.dev
A macOS and Windows voice assistant for AI coding agents. Talk to Claude Code, Cursor, Codex, Gemini CLI, or OpenClaw and hear them answer, fully on-device.
Key features
- On-Device Speech-To-Text: Local speech recognition runs on your machine so audio never leaves it, and the loop works offline.
- Neural Voice On-Device: A natural neural voice synthesizes replies locally, so you hear your agent respond in-line without cloud calls.
- Full-Duplex Echo Cancellation: Barge-in support lets you interrupt the agent mid-sentence and be heard cleanly.
- Multi-Agent Connectors: One-click integration with Claude Code, Cursor, Codex, Gemini CLI, and OpenClaw via a small skill each agent already understands.
- Approve-Before-Send Review Mode: Every transcript lands in an editable bubble first so nothing reaches the agent until you confirm.
- Meeting Transcriber: Captures meetings alongside coding sessions with the same on-device speech engine.
- Multi-Project Sessions and Agent Liveness: Handle multiple projects and see when the connected agent is actively listening or working.
- Global Hotkeys and Notch/Pill UI: Launch or mute with global hotkeys; docks into the Mac notch or a floating Windows pill.
Best for
- Voice-Driven Pair Programming: Talk to Claude Code, Cursor, or Codex while your hands are away from the keyboard.
- Hands-Busy Debugging: Ask your agent to run tests and read the failure back out loud instead of switching windows.
- Accessibility for Developers: Enable voice input and audio output for developers who prefer or need non-keyboard workflows.
- Private On-Device Coding: Work with confidential codebases where nothing spoken can be sent to a cloud STT service.
- Meeting + Coding Overlap: Transcribe standups and design meetings on the same on-device engine you use to talk to your agent.
- Live Demos and Screencasts: Build features by voice in front of an audience with a natural back-and-forth loop.