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Message Too Long — the Fix That Doesn't Butcher Content
The "message too long" error has a structural fix: split at paragraph boundaries into sequenced chunks with wait rules, instead of pasting fragments and hoping.
Long Prompt Splitter resources
Split oversized content at meaningful boundaries into sequenced chunks with continuity markers and wait rules.
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Split Large Prompts — Boundary-Aware, Never Blind
Splitting a long prompt by character count butchers it. Boundary-aware chunking splits at sections and paragraphs, keeps code blocks atomic, and counts every forced cut.
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Chunk Long Documents — Sections Survive the Split
Documentation mode chunks structured documents at heading boundaries, tells the model to reconstruct the section structure, and answers with original headings.
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Prepare Multi-Message Analysis — the Task Arrives Last
In multi-part delivery, WHERE the task lands decides the answer quality. Analysis mode places the task behind the all-delivered announcement — never before.
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Preserve Context Across Chunks — the Continuity Contract
Chunks without continuity rules are read as separate documents. The continuity contract — numbering, wait rules, acknowledgements, completion — keeps N parts one document.
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Send Large Project Context — Code and Docs in One Package
Project context is mixed: code, notes, and docs together. Send it as one sequenced package the model holds complete before any work begins.
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Split a Book for AI Analysis — Whole-Work Reading in Parts
Book-length analysis needs the WHOLE work read before any judgment. Analysis mode delivers the chapters in order and triggers the full analysis only at the end.
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Split Large Codebase Context — File Boundaries, Atomic Fences
Code split mid-function is unreviewable. Codebase mode splits at file boundaries, keeps fenced blocks atomic, and lists the files in every chunk.
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Split Research Material — Sources Stay Distinct
A research corpus is many sources, not one text. Split at source boundaries so each study stays distinct — and synthesis waits for the full corpus.
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Split Transcripts for AI — Meetings in Order, Decisions at the End
Hours of meetings exceed any message limit. Split transcripts at speaker-turn boundaries, deliver in order, and extract decisions only after every meeting has arrived.