Prompt Engineering Context Workflow

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.

Overview

The most common multi-message mistake is task placement: stating the question first, then feeding parts — so the model starts answering from part one and patches as more arrives. Analysis mode inverts it: the parts come first under reading rules, and the task is delivered with the final chunk, immediately after the all-chunks-delivered announcement. The model meets the question exactly once, with the complete material in context. This setup loads a synthesis task — five strongest findings with contradictions — positioned where it belongs: at the end.

How to use this resource

  1. Write the task into the field

    The Task field, not the first message — the engine places it behind the final chunk.

  2. Deliver under reading rules

    Parts arrive with wait-and-acknowledge contracts; no analysis leaks forward.

  3. Ask once, from everything

    The model meets the task with the full material in context — one question, one complete answer.

Why This Works

  • End-positioned tasks eliminate the patch-as-you-go answer pattern
  • Reading rules keep the material inert until the question lands
  • One-shot asking gets the synthesis the early-task version never produces

Best for

  • Synthesis and evaluation tasks over chunked material
  • Anyone whose multi-part questions got partial answers
  • Recurring report-and-analyze workflows

Not for

  • Designing the analysis methodology — the task content is yours; this positions it
  • One-message analyses that fit the window — no chunking needed

Use cases

  • Setting up analyses too big for one message
  • Fixing the answer-from-part-one failure
  • Standardizing how big analysis jobs get delivered

FAQ

Why does the analysis task go at the end of the chunks instead of the first message?

So the model meets the question exactly once, with all material already in context. The delivery mode is Analysis Mode — reading rules up front, the task triggered only after the "===== ALL 3 CHUNKS DELIVERED =====" line. Each chunk says "do not begin the analysis until the final part says all chunks are delivered." The long-prompt-splitter positions the task; you send the chunks in your assistant.

How do I send each chunk when I paste them into ChatGPT or Claude?

Send each chunk as one message, in order, and wait for the acknowledgement before the next. The DELIVERY INSTRUCTIONS require the model to reply only "Received chunk i of 3" between chunks, and warn "do not edit the chunk contents." After the final chunk announces all are delivered, the TASK runs — synthesizing the five strongest, best-evidenced findings, citing which chunk each piece of evidence came from.

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