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Not Every Section of Your Report Needs Your Most Expensive Model
Most teams pick their most powerful AI model once and run every section of every report through it, including the methodology notes and formatted tables that a lighter model handles just as well. See which sections earn a premium model, which ones don't, and how choosing a model section by section can cut your token spend without lowering quality where it counts.
Tips for Fine-Tuning Report Templates in Indago
Most disappointing AI-generated reports don't have a model problem — they have a configuration problem. See how three decisions made before you click generate (persona, outline, and section-level model selection) determine whether your first draft is genuinely useful or just technically competent.
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.