Fallom

Agent observability in under 5 minutes

🥈 2nd Product of the Day

📋 About

Fallom is an AI-native observability platform for LLM and agent workloads that lets you see every LLM call in production with end-to-end tracing, including prompts, outputs, tool calls, tokens, latency, and per-call cost.

We provide session/user/customer-level context, timing waterfalls for multi-step agents, and enterprise-ready audit trails with logging, model versioning, and consent tracking to support compliance needs.

With a single OpenTelemetry-native SDK, teams can instrument apps in minutes and monitor usag Load more
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Created by

anthonysistilli

📊 Product Details

  • Status approved
  • Launch Date Jan 12, 2026
  • Upvotes 8
  • Featured No

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🥈 2nd Product of the Day
Jan 12, 2026
H
hahmed
Jan 15, 2026 at 11:10 PM
Using Fallom in a customer support scenario could be really beneficial. By tracing LLM calls in real-time, you can identify which prompts lead to the most effective responses, helping optimize the AI's performance across various agents. This could ultimately enhance the customer experience by ensuring more accurate and timely support interactions.
S
Shy_person22
Jan 15, 2026 at 1:20 PM
I'm curious about how Fallom handles scalability in multi-agent environments. Are there any limitations on performance as the number of agents increases?
H
hahmed
Jan 14, 2026 at 5:30 AM
Does Fallom support multi-agent environments, or is it limited to single-agent workloads? That could be a real factor for teams scaling their AI applications.