I Built an AI Agent That Uses Real Data Instead of Just Guessing
Most AI tools today just generate text.
They rely on model memory, often guess information, and produce inconsistent outputs.
I wanted to explore a different approach — what if an AI system could fetch real data, process it step-by-step, and return structured insights instead of raw text?
So I built OpenAgent.
What is OpenAgent?
OpenAgent is a multi-step AI research agent designed to move beyond basic text generation.
Instead of relying only on the model, it:
- pulls data from Wikipedia for context
- fetches market data from Yahoo Finance
- processes everything through a structured pipeline
- outputs clean, structured insights
Why this matters
Most AI systems:
- generate unstructured text
- mix signal with noise
- are difficult to integrate into real applications
OpenAgent focuses on:
- real data instead of guesses
- structured outputs instead of paragraphs
- step-by-step processing instead of single-pass generation
How it works
Each query goes through a multi-phase pipeline:
Planning → Execution → Signal Extraction → Synthesis
Planning
Determines which tools to use (Wikipedia, Finance)
Execution
Fetches real data from external sources
Signal Extraction
Filters high-value information from raw data
Synthesis
Generates structured output with key insights
Example
Prompt:
Analyze Microsoft (MSFT)
Output:
{
"summary": "...",
"keyInsights": ["..."],
"risks": ["..."],
"opportunities": ["..."],
"sentiment": "POSITIVE",
"confidenceScore": 82
}
Instead of a long paragraph, you get usable, structured data.
Demo
The system fetches real data, processes it, and generates structured results in real time.
What you can do with it
- Analyze stocks and companies
- Perform quick research with real data
- Build structured AI workflows
- Use outputs directly in applications
Key takeaway
LLMs are powerful, but raw text output is often not enough.
By combining:
- external data sources
- structured pipelines
- controlled outputs
you can build systems that are more reliable and usable in practice.
Try it out
GitHub:
https://github.com/CraigMLdsouza/OpenAgent
Full version:
https://craigstorm.gumroad.com/l/openagent-research
Final note
This is a developer-focused project aimed at exploring more reliable AI systems.
If you're building with AI, moving beyond text generation into data-driven agents is a direction worth exploring.
Top comments (1)
This is sick honestly. AI that actually fetches real data and turns it into structured insights is way more useful than just text generation. Good Job Craig!! Keep it up