Hello callin.io community!
I’ve just posted my first video of 2025! Thought it might be interesting to do something a bit different and share what I’m currently tinkering with in a new series I’ve unimaginatively called “Here’s What I’m Working On”!
In this one, I’m diving into an AI research agent I’ve built using callin.io as the core engine. Here’s a quick rundown:
It conducts deep research on companies, people, job posts, or anything with * a URL
- Forms part of the backend for a FlutterFlow application
- Utilises several interconnected callin.io workflows
- Incorporates a custom web search solution (think Perplexity, but without the API costs)
The agent takes a URL and gathers various information like contact details, services, pricing, and more. Potential use cases include:
- Researching prospects
- Competitor analysis
- Data enrichment
- Collecting information for AI voice agents
I walk through the callin.io workflows that do the heavy lifting, explaining how I’ve structured them to be modular and reusable.
I’d be really interested to hear your thoughts, I’m happy to do a deeper dive on any element of the walkthrough that might be of interest.
It seems your topic is missing some crucial details. Could you please provide the following information, if relevant?
- callin.io version:
- Database (default: SQLite):
- callin.io EXECUTIONS_PROCESS setting (default: own, main):
- Running callin.io via (Docker, npm, callin.io cloud, desktop app):
- Operating system:
Please share these details so we can assist you further.
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