Fetching from the wire…
01
02
03
04
05
06
07
08
Public story · 2026-03-14 · source-backed
Monte Carlo's Agent Observability runs LLM-based and rule-based evaluation monitors directly against source data in BigQuery and AWS Athena, alongside standard agent metric monitors for latency, token usage, and error rates. This fills a critical gap for teams building agents on cloud data stacks who need observability integrated into their data platform rather than as a standalone tool.
Each link below shares sources, entities, or timing with this story.
Simon Willison released LLM / Shared entity: LLM / Shared topic / What happened next / Tension
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; overlapping topics (against, data).
LLM uses OpenAI / Shared entity: LLM / What happened next / Tension
Linked by a graph relationship (LLM uses OpenAI); both cover LLM; picks up the LLM thread on 2026-07-27.
Simon Willison released LLM / Shared entity: LLM / What happened next / Tension
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; picks up the LLM thread on 2026-06-18.
LLM uses OpenAI / Shared topic / Tension
Linked by a graph relationship (LLM uses OpenAI); overlapping topics (against, agent, data); pushes against this story (against).
Google released BigQuery / Shared entity: BigQuery / Shared topic / What happened next
Linked by a graph relationship (Google released BigQuery); both cover BigQuery; overlapping topics (agent, bigquery, cloud, data).
LLM uses OpenAI / Shared entity: LLM / What happened next
Linked by a graph relationship (LLM uses OpenAI); both cover LLM; picks up the LLM thread on 2026-07-31.
Linked by a graph relationship (LLM uses OpenAI); both cover LLM; picks up the LLM thread on 2026-06-19.
Simon Willison released LLM / Shared entity: LLM / What happened next
Linked by a graph relationship (Simon Willison released LLM); both cover LLM; picks up the LLM thread on 2026-08-12.