Research a topic and get an AI sentiment analysis in chat

Ask a question in chat and two AI agents research the web then analyze the sentiment of what they find.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(("user asks a question")):::human s0["search the web"]:::svc s1["compile research summary"]:::task s2["analyze sentiment of findings"]:::task s3["reply in chat"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"sentiment verdict delivered in chat"/]:::out pay{{"quick topic read without manual research"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepAn outside serviceA personResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsResearch & Market IntelligenceSurvey & Feedback
Connects
Google GeminiSearXNG

The problem it solves

You want a quick read on how a topic or company is being talked about, but manually searching, reading, and judging tone across multiple sources takes real time. Getting a fast, structured take without doing all the reading yourself would save real effort.

Who it fits

A research, PR, or strategy team that needs quick sentiment reads on news topics.

How it works

  1. You type a question or topic into the chat
  2. A research AI agent searches the web for relevant, current information
  3. It compiles the findings into a concise summary
  4. A second AI agent analyzes the summary and determines if the sentiment is positive, negative, or neutral
  5. The final analysis is sent back to you in chat
What you get

A clear read on how people feel about any topic

Ask a question in chat and get back a researched summary along with a clear read on the overall sentiment.

What you get

A chat response with a research summary and a sentiment verdict.

What you need

A Google Gemini API key and a self-hosted search service.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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