Exercise 3: Why Covering DALL-E Last Was a Deliberate Ordering Choice — Possible Solution
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WHAT THE CHAPTER SAYS ABOUT THE ORDERING
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Per this chapter, "DALL-E... is integrated directly into ChatGPT's own
conversational interface, which makes it, genuinely, the one tool in
this course closest to prompt1's own territory. It's covered last
specifically so that convergence lands as a real observation, not a
starting assumption."

WHY STARTING WITH DALL-E WOULD UNDERMINE THE CHAPTER'S OWN THESIS
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This entire chapter's throughline is that image-model prompting is a
genuinely different skill from prompt1's own instruction-following
paradigm — descriptor composition, not instruction-giving, per this
chapter's own central claim. If the course opened with DALL-E, the
tool that behaves most like a conversational LLM, a reader could easily
walk away thinking "image prompting is basically just talking to a
chatbot that makes pictures" — exactly the assumption this chapter
spends its own length arguing against. Leading with the most
LLM-like tool would blur the very distinction the chapter exists to
establish.

WHY MIDJOURNEY AND STABLE DIFFUSION FIRST BUILDS THE RIGHT INTUITION
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Per this chapter's own roadmap, Midjourney (imgai1-4) is covered first,
with its own bracketed --parameter syntax, and Stable Diffusion
(imgai1-5) next, with its exposed technical knobs (CFG scale, sampler,
checkpoints/LoRAs) — both tools whose interfaces look nothing like a
conversation. Meeting these two tools first forces a reader to engage
with prompting as parameter-and-descriptor composition on its own
terms, before DALL-E's own conversational interface is introduced.

WHY THIS MAKES THE DALL-E CONVERGENCE A REAL OBSERVATION, NOT A GIVEN
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By the time imgai1-6 introduces DALL-E, the reader has already directly
experienced two tools that are clearly not instruction-following
systems. Recognizing that DALL-E's own conversational style is
genuinely closer to prompt1's territory then becomes something the
reader concludes from real contrast across three tools, rather than
something assumed from the start because "it's a chatbot, so it must
work like Claude." This is exactly what the chapter means by wanting
the convergence to "land as a real observation, not a starting
assumption."

WHY THIS WORKS AS AN ANSWER
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It ties the DALL-E-last ordering directly back to the chapter's own
central thesis (image prompting ≠ instruction-following) and explains,
using the chapter's own roadmap, why leading with the two more
clearly non-conversational tools is what allows the DALL-E
comparison to function as an earned conclusion rather than an
unexamined assumption.