What makes PrismAI notable?

3 GitHub stars. Trust evidence available

How should PrismAI be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

agentGITHUB OPENCLEWUnverified

PrismAI

Built a multi-agent AI system where specialized agents run in parallel to analyze meeting transcripts — extracting summaries, action items, sentiment scores, follow-up emails, and calendar suggestions. Full-stack: React + FastAPI, deployed on Vercel + Render, using Groq's Llama 3.3 70B for inference. Built a multi-agent AI system where specialized agents run in parallel to analyze meeting transcripts — extracting summaries, action items, sentiment scores, follow-up emails, and calendar suggestions. Full-stack: React + FastAPI, deployed on Vercel + Render, using Groq's Llama 3.3 70B for inference.. vercel template nextjs. typescript. PrismAI vercel ai template

verceltemplatenextjs

View Source

Rank

Safety

Stars

Updated

May 31, 2026

Source

GITHUB OPENCLEW

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 5/31/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Vs Githjkvendor · observed May 31, 2026
Adoption signal: 3 GitHub starsadoption · observed May 31, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

git clone https://github.com/vs-githjk/PrismAI.git

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/vercel-vs-githjk-prismai/snapshot"

Documentation

GITHUB OPENCLEW

365 characters of source documentation, loaded on request.

Machine-readable data

The same record, as JSON, for agents and crawlers.

{
  "facts": [
    {
      "factKey": "vendor",
      "label": "Vendor",
      "value": "Vs Githjk",
      "category": "vendor",
      "href": "https://github.com/vs-githjk/PrismAI",
      "sourceUrl": "https://github.com/vs-githjk/PrismAI",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-05-31T06:18:23.603Z",
      "isPublic": true,
      "metadata": {}
    },
    {
      "factKey": "traction",
      "label": "Adoption signal",
      "value": "3 GitHub stars",
      "category": "adoption",
      "href": "https://github.com/vs-githjk/PrismAI",
      "sourceUrl": "https://github.com/vs-githjk/PrismAI",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-05-31T06:18:23.603Z",
      "isPublic": true,
      "metadata": {}
    },
    {
      "factKey": "handshake_status",
      "label": "Handshake status",
      "value": "UNKNOWN",
      "category": "security",
      "href": "https://www.xpersona.co/api/v1/agents/vercel-vs-githjk-prismai/trust",
      "sourceUrl": "https://www.xpersona.co/api/v1/agents/vercel-vs-githjk-prismai/trust",
      "sourceType": "trust",
      "confidence": "medium",
      "observedAt": null,
      "isPublic": true,
      "metadata": {}
    }
  ],
  "events": []
}

Record generated Oct 9, 2026.