How do I know if my batch size is too big for my AI?

If your AI gives vague answers, misses details, or seems confused, your batch might be too large. Try breaking your request into smaller, more focused parts to improve its performance.

Should I always split my context into multiple batches?

No. For simple requests or short texts, one batch is usually fine. Splitting is most useful for complex tasks or very long documents where the AI needs to process a lot of information to answer specific, linked questions.

What's the best way to determine where to split my content?

Split your content based on the questions you want to ask. Each batch should address a distinct sub-question or task. Do not just cut text in half; think about logical breaks in the information.

Can I use LocalBridge to help with this process?

Yes. LocalBridge lets you select specific tabs to send to your AI. You can send a few tabs for Batch One, get a response, then send another set of tabs (including the Batch One summary) for Batch Two.

When to Split Your AI Context into Two Batches

You want your AI to give you the best possible answer. Sometimes, sending all your information at once leads to less useful results. Breaking down your request can make a big difference.

Signs Your AI Batch Is Too Broad

Your AI might give generic answers. It may miss key details you know are present in the text. This is a sign it has too much to process at once.

Another sign is when the AI hallucinates or invents information. It might combine ideas incorrectly. This happens when the context is too large for it to manage effectively.

Generic or vague responses.
Missing specific details.
Incorrectly combining information.
Hallucinating or inventing facts.

Split by Question, Not Page Count

Do not just divide your content into equal halves. Think about what you want to achieve. Each batch should answer a clear, specific question.

One question might need five pages of context. Another might need only one. Focus on the logical boundaries of the information for each task. This helps the AI stay focused.

Carry Conclusions from Batch One to Batch Two

Your first AI response is not the end. Use its key takeaways as context for your next prompt. This builds on the AI's understanding.

For example, if Batch One summarizes an article, include that summary in your Batch Two prompt. Then ask a follow-up question. This creates a focused conversation.

Worked Two-Batch Example

Imagine you have a long legal document. You want to understand its main arguments and then identify specific clauses.

**Batch One:** Send the entire document. Prompt: 'Summarize the main arguments of this legal document. Identify the key parties involved and their primary responsibilities.'

**Batch Two:** Take the summary from Batch One. Include it in your next prompt. Then add the original document again. Prompt: 'Based on the previous summary, find all clauses in the original document related to intellectual property. Extract the full text of these clauses.'

When to Split Your AI Context into Two Batches

Signs Your AI Batch Is Too Broad

Split by Question, Not Page Count

Carry Conclusions from Batch One to Batch Two

Worked Two-Batch Example

Common questions

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