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Why Section-Level Regeneration Produces Better AI Reports
Most analysts have been there: one weak section in an otherwise solid report, and the temptation to hit regenerate and start fresh. The problem is that full regeneration treats every section as equally flawed — wiping out verified work to fix one paragraph. This post breaks down why section-level control produces better reports, how targeted instructions outperform global rewrites, and how matching the right AI model to the right section changes the quality of the final product.
How to Use Indago's Co-Pilot to Search Smarter and Draft Faster
Co-Pilot is one of Indago's most versatile features — and one of the most underutilized. This guide covers what Co-Pilot actually is, what it isn't, and how to use it effectively across three stages of the reporting workflow: searching, drafting, and editing. Whether you're translating a natural language query into a structured search, building a template from scratch, or stress-testing a draft section against your source collection, Co-Pilot is most powerful when the analyst stays in control and directs it with clear intent.
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.
How to Build Your First Intelligence Report in Indago: A Step-by-Step Walkthrough
Building your first intelligence report in Indago comes down to a series of clear, manageable decisions. This walkthrough shows exactly how to move from source selection to a structured, fully sourced draft, then refine it into a finished report. You’ll see how templates, models, and editing tools fit together in a real workflow. By the end, you’ll know what to do at every step.
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.