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.
View Resource →Long Prompt Splitter resources
Split oversized content at meaningful boundaries into sequenced chunks with continuity markers and wait rules.
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.
View Resource →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.
View Resource →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.
View Resource →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.
View Resource →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.
View Resource →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.
View Resource →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.
View Resource →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.
View Resource →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.
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