---
title: "LLE: Precision Matters Part 2: Feeding Your AI the Right Data, Not the Whole Document"
description: In this webinar we’ll continue the journey into why focusing your AI’s input is essential, and how Grooper helps you control exactly what your model sees.
image: https://blog.bisok.com/hubfs/Videos/feed-ai-the-right-data.png
---

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 Precision Matters Part 2: Feeding Your AI the Right Data, Not the Whole Document

Speakers:

![Tim McMullin](https://blog.bisok.com/hubfs/Tim%20Mcmullin%20Headshot.png) ![Reanna Patton](https://blog.bisok.com/hubfs/blog-images/reanna-patton.jpg)

# Video: Precision Matters Part 2: Feeding Your AI the Right Data, Not the Whole Document

When it comes to AI-driven extraction and classification, the biggest improvement isn’t always from a bigger model or dumping more pages into the prompt. It’s from *feeding the right data in the right format*.

In this webinar we’ll continue the journey into **why focusing your AI’s input is essential**, and **how Grooper helps you control exactly what your model sees**, so you get clearer, faster, more reliable results.

#### **Why This Matters**

- LLMs aren’t magic, they’re sensitive to the context you give them. In fact, recent research shows that **longer input isn’t always better**: as the length of irrelevant or noisy tokens increases, model performance can degrade.
- When your model is fed a large document full of irrelevant text, it can get “lost in the middle” or focus on the wrong segments, resulting in errors, hallucinations, or inconsistent outputs.
- Targeting your document input avoids wasted token-costs, speeds up processing, and improves accuracy. Your AI deserves *high-quality slices*, not everything the scanner captured.

#### **What You’ll Learn in This Session**

- How to define *what your LLM needs to see* vs. *what it doesn’t*
- Practical strategies in Grooper for selecting, structuring, and quoting only the relevant content
- How to format that content for optimal AI understanding: plain text, JSON, layout objects
- Real-world examples showing the difference between “everything” and “just the relevant parts”
- How this focused approach reduces token consumption, speeds processing, and improves explainability

#### **Who Should Attend**

If you’re a Grooper admin responsible for document workflows, AI extraction, or improving data quality, this is for you. Whether you’re a business user seeking better outcomes or a technical user tuning your model inputs, this webinar will help you control the most important variable in your AI pipeline: **what your AI sees**.

Think of your AI as a detective. You wouldn’t hand a detective every file from the case, just the ones that matter. Grooper’s quoting and selection features ensure your AI doesn’t get buried in paperwork, it gets the clean, structured input it needs to crack the case.

 Speakers

![Tim McMullin](https://blog.bisok.com/hubfs/Tim%20Mcmullin%20Headshot.png)

 Tim McMullinVice President of Sales

[Tim McMullin](https://www.linkedin.com/in/timmcmullin/) brings extensive sales and solution design experience to help customers and partners successfully meet their business objectives.

With more than 25 years of technical and sales expertise in the enterprise document and data capture space, Tim is responsible for managing Grooper sales at BIS. His leadership focuses on the expansion of all things Grooper, especially the channel and traditionally underserved verticals.

 

![Reanna Patton](https://blog.bisok.com/hubfs/blog-images/reanna-patton.jpg)

 Reanna PattonTechnical Writer

**Reanna Patton** is a Grooper expert and a key member of the Documentation and Training Department at BIS. Reanna specializes in simplifying complex document processing concepts to help users—from internal employees to clients—master the Grooper platform. She is involved in many facets of Grooper education, including developing training documentation, updating the official software Wiki, and creating detailed training videos. Having an intimate understanding of Grooper's capabilities, Reanna is perfectly positioned to share her knowledge on achieving **Next Level Extraction with New AI Tools in Grooper 2025.**

Watch Now!

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