Agnost AI vs PlugThis: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Agnost AI and PlugThis — 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.
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PlugThis
PlugThis
AI Chrome extension builder — describe what you want in plain English and get a working Manifest V3 extension with real backend in under two minutes.
Key features
- Plain-English Extension Generation: Describe the extension you want and PlugThis produces a complete Manifest V3 project — popup, scripts and backend — usually within 2 minutes.
- Real Supabase Backends: Connect your Supabase account and PlugThis writes Postgres tables, Auth flows and Edge Function logic instead of just wireframing a UI.
- Bring-Your-Own LLM Key: Plug in an OpenAI, Anthropic or Gemini API key and PlugThis wires up LLM-powered features such as summarization, translation and reply generation.
- Full Source Ownership: Users download a zip of the complete source and can publish to the Chrome Web Store, sell, or modify it — no vendor lock-in or runtime dependency.
- Iterative Chat Refinement: Unlimited chats per extension to build, debug and polish before shipping.
- Chrome Web Store Ready: Output includes assets and Manifest V3 configuration required for Web Store submission.
- Idea Templates: Starter templates (Pomodoro, page highlighter, dark mode, CSS inspector, exercise reminder) for quick jump-starts.
Best for
- SaaS Extension Companions: Founders ship a Chrome extension that extends their product without a dedicated engineering team.
- Internal Team Tools: Build a company-specific extension for research, HR onboarding or CRM shortcuts in a single afternoon.
- Indie Developer Products: Non-technical founders build and sell utility extensions on the Chrome Web Store.
- AI Feature Prototypes: Wire a Chrome extension to OpenAI/Anthropic/Gemini keys to prototype an AI writing, translation or reply tool.
- Legacy Tool Replacements: Rebuild a discontinued or clunky extension by describing the desired behavior.
- Learning by Example: Use PlugThis output as a working starting point to learn Manifest V3 architecture.