AIAP Tool Guides·Copilot·16:06

Copilot Standalone Chat and Image Generation: Hooks and LinkedIn Posts, Follow-Up Nudges, and How Prompts Get Expanded

Karan Rana Brand/marketing manager, YouTuber, podcaster and course creator ("a non-tech guy"); presents the AI for Marketing, NotebookLM and Manus tool guides

▶LMS lesson

The short version

Standalone Copilot chat is, per the trainer, ChatGPT under the hood; the in-app versions are "more native" (0:00-0:03).
Writing demos: three Instagram Reel hooks on coffee mistakes for Gen Z and a LinkedIn post comparing the Oscars and IIFA awards; follow-up nudges suggest next prompts (0:03-0:09).
Image generation via Designer: a short kitten-in-Mumbai prompt is expanded into a detailed one; four variants, download, content credentials, and revision ("change the background to a beach") (0:09-0:15).

At a glance, three clicks deep

Skim here first: the closed row is the glance, open is the study card with the key points and timestamps, and the ↓ link drops to that concept's full write-up below.

01Follow-up nudges and welcome nudgesAfter each reply Copilot offers suggested next prompts;›

After each reply Copilot offers suggested next prompts; the empty screen offers starter prompts. Click one to send it.

Writing demos (0:03-0:06)

Nudges (0:06-0:09)

↓ Full write-up of this concept

02How image prompts get expanded - and why adjectives matterCopilot rewrites a short image prompt into a long descriptive one before generating four variants with Desi…›

Copilot rewrites a short image prompt into a long descriptive one before generating four variants with Designer.

Generation (0:09-0:10)

Expanded prompt (0:10-0:12)

Revision (0:14)

↓ Full write-up of this concept

The concepts in full

Follow-up nudges and welcome nudges

The tool suggests what to ask next.

After the LinkedIn post, nudges offered a carousel version and "what visuals should I include" - which produced a split-thumbnail "versus" layout and an offer to draw it. Chat history sits under the three-dots side panel because the left pane lists apps.

Why it matters

Faster iteration without crafting each prompt.

How image prompts get expanded - and why adjectives matter

how-to

"You have to literally spoon-feed an image generation model."

"Generate an image of a cute kitten in a Mumbai suburb" became a prompt with colourful buildings, narrow lanes, auto-rickshaws, lush greenery, a fluffy playful kitten with big curious eyes, warm sunny light. Learn those adjectives and styles yourself. A follow-up kept the kitten and changed only the background. Images carry content credentials marking them AI-generated.

Do it in this order

01New chat: describe the image.
02Open a variant to read the expanded prompt.
03Download or copy; check content credentials.
04Revise with a follow-up instruction.

Why it matters

Better first prompts, and a way to learn prompt vocabulary.

This idea elsewhereparallelManus: anatomy of an image prompt

Tools referenced

Tool	Coverage	Moment	Context
Microsoft Copilot	demonstrated
Microsoft Designer	demonstrated
ChatGPT	explained

Action items

Resources mentioned

Resources

docLesson page on the platform

Extraction notes

This page was built from an auto-generated transcript, which garbles product and people's names. Those were corrected silently in everything above and logged here for transparency. The warnings flag claims that were true on the recording day but change fast.

Transcript corrections applied

The transcript says	The trainer actually means
Anthropix, Cloud	Anthropic's Claude
IFA awards	IIFA awards
charts have moved to the right	chats have moved to the right

True on recording day — verify before relying

Vendor UI walkthrough: menu names, layout, plan limits and pricing change monthly - check the live product before following click paths.
The claim that standalone Copilot is ChatGPT underneath, the four-image output and the plan/credit figures are as of mid-2025 (0:02-0:10).