USE CASES
Who this is for.
The list is short and specific, because listing fewer audiences is more honest than listing everyone. If your problem is here, the demo will land.
SECURITY OPERATIONS
Incident remediation that explains itself.
A SOC pod runs a crew that triages an alert. When a tool errors, a constraint catches it and a resident remediation pod wakes through a causal trigger, queries the root causes, and produces a diagnosis. The whole chain, across both pods, is one connected graph you can audit.
DATA & AGENTS
ETL that hands off to a crew.
Load listings with SQL, normalize with Python, hand the result to an analyst crew, and publish the report. Code and agents share one graph and one artifact contract, so there is no glue layer to maintain and no context lost at the boundary.
REGULATED & AIR-GAPPED
Runs where the data cannot leave.
Point pods at a local OpenAI-compatible endpoint (Ollama, vLLM, or NVIDIA NIM), keep workers customer side, and collect zero telemetry. Secrets are write-only, ride only inside sealed run dispatches, and are redacted from every event and log.
PLATFORM & SRE
Root-cause reviews without the guesswork.
Stop rebuilding the cause chain by hand after every incident. The causal poset already has it. Query the root causes of a failure, walk the descendants of a suspect event, and keep the record for the postmortem.
Recognize your Tuesday?
Tell us what you are working on. We will tell you honestly whether podblocks fits.
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