All Articles

Filter by Category

How to Build a Source Collection That Produces Better Reports
Help Center, Search & Discovery Indago Team Help Center, Search & Discovery Indago Team

How to Build a Source Collection That Produces Better Reports

Most analysts troubleshoot inconsistent report quality by switching models or adjusting templates — but the variable is almost always the collection. This piece breaks down four principles for intentional collection-building in Indago: why source focus matters more than source volume, how to match your collection approach to your report type, how to use the token budget as a quality filter rather than a frustration, and how well-built collections compound in value over time as institutional assets.

Read More
5 Ways to Build Data Collections in Indago
Search & Discovery, Help Center Indago Team Search & Discovery, Help Center Indago Team

5 Ways to Build Data Collections in Indago

In Indago, the AI only works on what's inside your collection — it never browses the open internet or pulls in unreviewed sources. That makes collection-building one of the most important skills an analyst can develop on the platform. This guide walks through all five methods for bringing data into Indago: file upload, built-in search, the Data Retriever Chrome extension, RSS feeds, and API integrations — with practical guidance on when and why to use each one.

Read More
OSINT 3.0: Embracing the Generative AI Revolution

OSINT 3.0: Embracing the Generative AI Revolution

Generative AI is revolutionizing the way Open-Source Intelligence (OSINT) professionals collect, analyze, and deliver intelligence. From automating data processing to enabling real-time threat insights, OSINT 3.0 is here—and it’s changing the game. Learn why embracing these advancements is no longer optional, but essential for staying ahead in a fast-evolving field

Read More
The Looming Gap: Why Traditional Analysis Skills Still Matter in the Age of AI

The Looming Gap: Why Traditional Analysis Skills Still Matter in the Age of AI

This blog post discusses the importance of traditional analysis skills in the era of artificial intelligence (AI). It emphasizes that despite AI's growing capabilities, human analytical skills remain crucial for interpreting data accurately, making informed decisions, and understanding the broader context that AI might miss.

Read More
Securing the Future of Artificial Intelligence

Securing the Future of Artificial Intelligence

In the latest episode of the Wild Dog AI Podcast, we delve into the pressing issues surrounding artificial intelligence, national security, and technology ethics. Our conversation revolves around an article exploring Ilya Sutskever’s new startup, Safe Superintelligence Incorporated (SSI). 🎧 Listen to the full podcast episode here: Wild Dog AI Podcast Episode

Read More
From Keywords to AI Prompts: Enhancing Intel Analysis

From Keywords to AI Prompts: Enhancing Intel Analysis

The conversation delves into the differences between keyword searches and prompting using language models, highlighting the evolving role of language models in open-source research. It also emphasizes the importance of integrating keyword searches and language models for more effective research outcomes.

Read More