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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.
How to Audit Your Current Reporting Workflow Before You Adopt Any New Tool
Most tool evaluations fail before they start — not because the software isn't capable, but because teams don't actually know where their current workflow is breaking down. Run this audit before your next vendor demo and you'll ask sharper questions, evaluate more honestly, and make a decision that actually sticks.
Onboarding a New Analyst? Here's How to Use Your Existing Report Archive as a Training Asset
When an experienced analyst leaves, they take more than their expertise — they take the reasoning, source logic, and analytical judgment that made their work credible. This piece breaks down how intelligence teams can use their existing report archive, templates, and source collections as a structured onboarding asset, so new analysts inherit a tested framework instead of starting from scratch. The result is faster ramp time, more consistent output, and institutional knowledge that compounds instead of walking out the door.
How Intelligence Teams Evaluate AI Reporting Tools: A Buyer's Checklist
This guide breaks down how to evaluate AI reporting tools across accuracy, security, workflow, and governance. It highlights the questions that actually matter in high-stakes environments, from hallucination risk to data handling policies. If you’re considering an AI tool, this is the checklist to bring into every vendor conversation.
From Planning to After-Action: The Full Reporting Lifecycle of Major Events
Event security reporting doesn't begin when the gates open — it starts weeks earlier with threat assessments and venue profiling, and it doesn't end until the after-action review is filed. This piece follows Celeste, a hypothetical senior event security analyst preparing for a 200,000-person music festival, through all four stages of the reporting lifecycle: pre-event threat assessment, operational daily SITREPs, real-time incident reports, and post-event after-action review.
From Daily Updates to Strategic Insight: Scaling Public Health Reporting
Public health analysts don't produce one type of report — they produce six, often simultaneously, each serving a different audience with different urgency levels and different formatting requirements. This piece follows Darryl, a fictional public health intelligence analyst, through the six report types that define the role: from the daily grind of epidemiological SITREPs to the high-stakes pressure of early warning bulletins. For each one, we break down the specific workflow pressure it creates and what it looks like when structured templates handle the framework, so analysts can focus on the analysis.
3 Finance Intelligence Reports Watchfloor Analysts Can Deliver in Record Time Using Indago
Watchfloor analysts in finance and market intelligence face a pressure most roles don't: leadership needs answers before the market reacts, and the window between a breaking event and an executive briefing is often measured in minutes.
This piece walks through the three reports that define success in this role, the specific workflow challenges each one creates, how the best analysts are producing these accurately and under pressure — and what the right tooling actually makes possible.
Can AI Be Trusted for OSINT? Bias, Hallucinations, and Verification Methods Explained
AI hallucinations occur when language models generate information that sounds authoritative and well-sourced but has no basis in reality.
Indago’s built-in bias detection flags these patterns in generated text before they reach a finished report. It identifies patterns that suggest sentiment bias, confirmation bias, or selection bias, alerting analysts to sections that may require additional scrutiny.
Briefing the Boss: Turning Raw Findings into Executive-Ready Reports Without Rewriting Everything
Most analysts don't have a research problem… they have a last mile problem. The analysis gets done in hours; the reformatting to match a boss's specific preferences takes just as long.
This piece walks through five of the most common stakeholder quirks analysts deal with, and how to encode those preferences directly into your Indago report templates so every report starts from the right place instead of a blank page.