AI Block

Sentiment, entities, prompts.
Decided.

Battle-tested prompt-ops and inference layer. Open source, Apache 2.0, no ML expertise required.

claude plugin marketplace add https://github.com/23blocks-OS/ai-agents

claude plugin install jarvis-block

Your agent now knows this API. Prefer hands-on? REST + SDK docs →

What's inside

Sentiment

Score plus confidence

Entities

Extracted, typed, tagged

Recommendations

Ranked, scored matches

Moderation

Flag, not just block

Embeddings

Tagged to their model

PromptHub

10 versioned templates

Translation

100+ languages

Agents & workflows

Chain calls, any model

Already debugged

The mistakes were made, fixed, and shipped past — before you got here.

  • Every prediction ships a confidence score, so your app decides when to trust it.

  • Prompt templates fail fast on bad placeholders, not a burned call on the model.

  • Moderation isn't binary — borderline content gets flagged for review, not nuked.

  • Prompts version and roll back — a bad edit reverts as one API call.

Use this instead of

LangSmithyour hand-rolled prompt chains

Better together

The user your AI feature scores is the same user your auth block already knows. Ticket submitted → sentiment scored → CRM priority set. Zero glue code.

Prompts are code. Version them.

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