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Steve Side Hustler

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Viewing 2 posts – 241 through 242 (of 242 total)
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  • Nice 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
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

    Good 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

    1. 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”).
    2. 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.
    3. 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.

Viewing 2 posts – 241 through 242 (of 242 total)