Releasesby IbisHow we built user behavior analysis with multi-modal LLMs (in 5 not-so-easy steps)
Beta10 months agoUnverifiedAdded Sep 24, 2026
PostHog released Session Summaries in beta, a tool that uses multi-modal LLMs to analyze user session recordings and highlight issues automatically.
Topics: LLMs, Observability
More PostHog releases
Every PostHog release8 learnings from 1 year of agents – PostHog AI
PostHog AI is an integrated agent that can access product data, write SQL queries, manage feature flags, and perform multi-step analyses of product usage.
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PostHog has introduced a logs feature in beta, allowing developers to view backend logs directly alongside session replays and error tracking without switching platforms.
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Workflows has moved to beta, allowing users to automate product-led actions like emails and Slack alerts based on live event data.
Your product data just got a job: Workflows is now out
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PostHog introduced Workflows in alpha, an automation builder that triggers actions based on live user behavior and event data.
Stop AI slop: Run evals with LLM-as-a-Judge
PostHog now provides automated evaluation tools that use LLMs to score generative AI outputs based on criteria like relevance and helpfulness. It includes pre-built templates for common use cases.
Your logs' final destination is in GA. You always end up here anyway
PostHog Logs is now generally available, providing a centralized destination for logs alongside errors, session replays, and product data.
How we made feature flags even faster and more reliable
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Also shipped on Dec 3, 2025
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EU Endpoint Now Generally Available
The Deepgram EU endpoint ( api.eu.deepgram.com ) is now generally available for customers requiring data processing within the European Union.
eAPM General Availability and eBPF Network Metrics Public Preview
Background Our customers are faced with these challenges: The first challenge is the traditional observability gap. Traditional APM tools lack kernel-level network and system metrics. This means that during an incident, it is difficult to pinpoint the root cause between application code issues and network-related issues.
NeMo NVIDIA Neural Modules 2.6.0
Highlights Speech Add Timestamps to streaming ASR PR Add Streaming decoding policies (Wait-K and AlignAtt) for Canary model PR Add NeMo Voice Agent PR Hybrid RNNT-CTC Prompted Parakeet Model support PR [New] MT-Parakeet Streaming Models release Removed the Automodel module. Automodel is available in the repo https://github.com/NVIDIA-NeMo/Automodel .
Supported APIs
The EU endpoint supports the following Deepgram APIs: Speech-to-Text : /v1/listen and /v2/listen (excluding Whisper models) Text-to-Speech : /v1/speak Voice Agent : /v1/agent/converse Text Intelligence : /v1/read