Find and summarize local events automatically with AI search

Give it a city, date, and interests and it searches the web to find matching local events for you.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues; runs once per each event page found.

Pattern: Parallel Split (2) · Synchronisation (3) · Multiple Instances with a priori Run-Time Knowledge (14)

flowchart TD trig(("user submits event search")):::human s0["search for matching events"]:::svc s1[["scrape event page details"]]:::mi s2["organize results with ai"]:::task s3["return formatted event list"]:::task trig --> s0 s1 --> s2 s2 --> s3 gx{"+ which sources to search"}:::gate s0 --> gx p00["search the web"]:::task gx -->|"web search"| p00 p10["search local event listings"]:::task gx -->|"local listings"| p10 jn{"+ combine results"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"formatted list of matching events"/]:::out pay{{"saves time hunting across sites"}}:::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 serviceRuns once per itemA personEvery pathWaits for allResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous Systems
Connects
Google Gemini

The problem it solves

You spend time hunting across multiple sites to find events worth attending or promoting, and it's easy to miss options that don't show up in a normal search. Pulling together details like location, date, and description by hand is slow.

Who it fits

A marketer, community manager, or business owner looking for local events to attend or promote.

How it works

  1. You provide a request with the type of event, city, date, and interests
  2. The system searches the web and local listings for matching events
  3. It scrapes event pages to pull out full details
  4. AI reviews and organizes everything it finds
  5. You receive a formatted list of matching events
What you get

Local events found without searching yourself

Give it a city, date, and interests, and it finds matching local events for you to attend or promote.

What you get

A formatted list of relevant local events with key details ready to review.

What you need

A Google Gemini API key and access to web search tools.

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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