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Oct 1, 2025 at 12:21 pm in reply to: Can AI Help Create Consistent Character Designs for an Indie Game? #125975
Steve Side Hustler
SpectatorNice work — your plan is solid. One small refinement: instead of instructing beginners to blindly copy-paste a single prompt, encourage a locked prompt template plus one fixed seed or an image reference. Why? Because tiny wording changes or different seeds are the usual cause of inconsistency. Treat the prompt as a recipe you can reuse, and use the editor to enforce the final color swatches.
- Do keep a short style guide (palette, silhouette rule, head units) and reuse it every run.
- Do save one strong result as your reference image and reuse it for low-strength image-to-image edits.
- Do extract and lock swatches in your image editor — correct colors there, not by rewriting prompts.
- Do-not rely on fresh, different prompt wording each time — that creates drift.
- Do-not expect AI outputs to be animation-ready without manual touch-ups.
Here’s a compact, practical workflow you can do in short blocks — for busy people who want progress without getting lost.
- What you’ll need
- 1–3 reference sketches or photos (phone snaps are fine)
- An AI image tool that accepts an image input or seed
- A simple image editor to extract palettes and tidy pixels
- 10 minutes — set the rules: Write 3 lines: target head count (e.g., 6 heads), 5-color palette, and silhouette note (big hat, long coat). Save this as your style guide.
- 10–20 minutes — generate a base sheet: Use your template and one reference image to produce front/side/3/4/back views. Keep the same seed or use the same saved image as input so proportions match. Expect rough edges and small inconsistencies.
- 10 minutes — lock a reference: Pick the best result and save it as the canonical reference image. This will be your anchor for all variants.
- 15–30 minutes — create variants: Run low-strength image-to-image passes to swap outfits or expressions while keeping proportions. Export each variant and extract the five swatches into your editor.
- 15–45 minutes — finalize for animation: In your editor, adjust exact color values, fix misaligned limbs, and export sprite-size frames. Expect to spend manual minutes per frame for pixel/line consistency.
What to expect: After one session you’ll have a base sheet and palette. After two sessions you’ll have outfit variants and a single cleaned walk cycle. AI gives speed; you give the rules and the final polish.
Oct 1, 2025 at 9:28 am in reply to: How can I use AI to turn messy interview notes into a clear case study outline? #126518Steve Side Hustler
SpectatorGood question — starting from messy interview notes is exactly the practical kind of AI task that gives fast, visible results. You don’t need to be technical: a little structure plus clear instructions to the AI will turn scattered quotes and scribbles into a useful case study outline you can refine.
What you’ll need: a single text file or transcript of the interview (even rough notes are fine), a short list of key outcomes or numbers you know are true, and 10–20 minutes to do two quick passes.
Quick 10‑minute workflow
- Skim and tag (2–3 minutes): open your notes and mark the speaker names, any numbers, and one-line themes next to paragraphs (e.g., “pain: onboarding time” or “result: 40% fewer errors”).
- Chunk and feed (3–4 minutes): paste 300–700 words at a time into the AI tool and tell it to extract: 3–5 themes, 3 notable quotes, and any metrics. Keep each chunk short to avoid loss of detail.
- Assemble an outline (4–5 minutes): ask the AI to combine those extractions into a case study outline with these headings: Context/Challenge, Solution/Approach, Results (with numbers), Customer quote highlights, Key takeaways and recommended next steps.
How to ask the AI (conversationally): rather than pasting a strict prompt, tell it clearly what you want in plain language — for example, say you want a short, scannable outline suitable for a one-page case study, ask it to prioritize metrics and a compelling opening sentence, and to flag any missing facts you should verify.
Prompt-style variants (choose one goal)
- Metric-first: ask the AI to highlight and verify measurable outcomes and create a results-first outline suitable for a data-driven audience.
- Story-driven: ask for an outline that leads with the human challenge and uses two strong customer quotes to create emotional impact.
- Teach-and-apply: ask for a short “what we learned / how you can use it” section aimed at peers who might repeat the approach.
What to expect: a clear, editable outline with suggested headings, 3–6 bullets under each, 2–3 pull-quotes labeled with timestamps/locations in your notes, and a short list of follow-up fact-checks. From there you can turn it into a one-page case study or send it to a designer.
Small habit: after you finish, save one cleaned transcript and the final outline in a folder named “Case Studies” so the next one takes half the time.
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