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Research gets messy fast when sources conflict, claims get repeated without verification, or the answer is buried across dozens of pages.
I built Facthread to untangle that. I conduct source-based research, cross-reference findings, flag gaps and contradictions, and turn the evidence into a clear, usable report.
Currently taking on projects involving market and competitor research, fact-checking, source verification, and hard-to-find information.
Find it. Verify it. Reconstruct it.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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CRAG — Self-Correcting Research Assistant
Overview
A research-assistant project exploring how AI applications can retrieve information and improve the quality of their responses through a self-correction workflow.
Project focus
Python-based AI application development.
Retrieval and research workflow design.
Improving answer reliability through evaluation and correction.
Technologies: Python, AI, retrieval-augmented generation.
Self correction is where RAG gets useful. How do you judge a retrieved chunk as bad enough to trigger a new search?
I rebuilt my Pecauva case study so you can actually use it: click through the architecture, run the research matrix, and watch the sandbox recover from a failed run. Visit Pecauva
From Client Brief to Qualified Leads 🎯
Every successful lead generation project starts with a clear understanding of the client's ideal customer.
In this video, I showcase my B2B research workflow, from defining targeting criteria and researching companies to identifying decision-makers, checking business email status, and organizing prospects into a structured spreadsheet.
My focus is on relevance, reliable data, and organized research that helps businesses approach the right prospects.
Need targeted B2B leads or decision-maker research? Let's connect and discuss your requirements.
Defining the targeting criteria is the step most clients rush. Do you ever filter by the tools a company uses? For SaaS clients that's often a sharper cut than industry or headcount, because it tells you they already pay for something in the category.