On Launch Llama
Agnost AI
For AI teams: Agnost AI monitors production agents to catch silent failures, hallucinations, and behavior drift your evals miss so you ship reliable systems users trust.
Built by Parth Ajmera, Shubham, and Garry Tan
Freemium
Visit website → Upvotes · 290
Agnost AI is a Product Hunt listing on Launch Llama with 290 total upvotes, founded by Parth Ajmera, Shubham, and Garry Tan who joined in Aug 2026, compared against 6 alternatives.
Product Hunt listing
Listing status
290upvotes
Community score
Parth Ajmera, Shubham, and Garry Tan (Joined Aug 2026)
Founder
Compared against 6 alternatives
Market comparison
Key Features
- Detect silent failures in AI agent interactions
- Analyze conversations to discover agent behavior drift and hallucinations
- Group insights into recurring patterns with supporting conversations
- Monitor AI agents in production environments
About
Agnost AI analyzes conversations between users and your production AI agents and discovers: silent failures, agent behavior drift, hallucinations, user frustration, hidden feature requests, and churn signals. It groups them into recurring patterns, shows the exact users and conversations behind each insight, and turns them into evals and fixes.
Use Cases
- Teams deploying AI agents who need to identify silent failures and agent behavior drift in production
- Product managers looking to discover hidden feature requests and churn signals from user interactions
Pricing
Agnost AI offers a free plan plus paid tiers. See the website for current pricing.
Verdict
In the competitive ai metrics and evaluation space, Agnost AI stands out as a solid option. With 290 upvotes from the Launch Llama community, it's clearly resonating with founders. Agnost AI analyzes conversations between users and your production AI agents and discovers: silent failures, agent behavior drift, hallucinations, user frustration, hidden feature requests, and churn signals. If for ai teams: agnost ai monitors production agents to catch silent failures, hallucinations, and behavior drift your evals miss so you ship reliable systems users trust is a priority for your team, it's worth giving Agnost AI a closer look.
FAQ
What is Agnost AI?
Agnost AI analyzes conversations between users and your production AI agents and discovers: silent failures, agent behavior drift, hallucinations, user frustration, hidden feature requests, and churn signals. It groups them into recurring patterns, shows the exact users and conversations behind each insight, and turns them into evals and fixes.
Who should use Agnost AI?
Agnost AI is a strong fit if you are one of: • indie hackers and solo founders • early-stage startup teams If that does not sound like you, skim the features and site before committing time.
What problem does Agnost AI solve?
Agnost AI is built around this outcome: For AI teams: Agnost AI monitors production agents to catch silent failures, hallucinations, and behavior drift your evals miss so you ship reliable systems users trust. Use the site demo or docs to confirm it matches the bottleneck you are trying to remove.
What are the main features of Agnost AI?
Agnost AI includes: • Detect silent failures in AI agent interactions • Analyze conversations to discover agent behavior drift and hallucinations • Group insights into recurring patterns with supporting conversations • Monitor AI agents in production environments
Is Agnost AI free to start?
Agnost AI offers a free plan plus paid tiers. See the website for current pricing. Check the official site before you buy so you see current plans, trials, and limits. Most freemium tools let you validate the workflow before upgrading — check what the free tier unlocks for your use case.
How much does Agnost AI cost?
Agnost AI offers a free plan plus paid tiers. See the website for current pricing. Check the official site before you buy so you see current plans, trials, and limits.
How does Agnost AI use AI?
Agnost AI uses AI as part of its workflow. Before relying on it for customer-facing or confidential work, confirm what data is sent to models, whether outputs are editable, and how you can review results.
Is Agnost AI worth trying?
It promises: For AI teams: Agnost AI monitors production agents to catch silent failures, hallucinations, and behavior drift your evals miss so you ship reliable systems users trust. A concrete use case founders care about: Teams deploying AI agents who need to identify silent failures and agent behavior drift in production.. It has 290 community upvotes on Launch Llama, which is a signal of interest — not a guarantee it fits you. Worth trying if that problem is painful for you this week; skip it if you only need a one-off workaround you already have.
How do I try Agnost AI?
Open the official Agnost AI website from this page, run the smallest real task you care about (not a toy demo), and decide in one session whether it removes friction. Check pricing and data/privacy terms before you put production work into it.
Founder Guides
Alternatives
- Progress AI Observability
For AI teams: Progress AI Observability traces agent runs and catches hallucinations so you debug failures in minutes and reduce token waste.
- Axon
For AI teams: Axon grades your agents' real conversations with LLM judges so you fix performance issues with cited evidence.
- Agyn
For teams: Agyn runs AI agents in secure sandboxes with spend caps and audit trails so your organization can deploy agents safely without security or finance risk.
- AI Observability by OpenObserve
For AI teams: OpenObserve monitors LLM agents with 140x lower storage costs than competitors so you debug production issues without breaking budgets.
- Aident AI
For teams: Aident AI builds open-world automations in plain English across Discord, Slack, X, Shopify and 1000+ integrations, with real-time monitoring and approvals.
- AutoMaxFix
For AI system builders: AutoMaxFix catches failures, reproduces them, and patches one ticket at a time behind human approval so your systems stay reliable.
Ask AI
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For agents
llms.txt · llms-full.txt · ai.txt · Live fact sheet · Full catalog (.md) · Endpoint index · API spec · REST access · Agent server · Server manifest · Server discovery