dash.foogy

Case study media — template, art direction, storyboards

doing

One presentation template across all ten case studies, a single art direction, an image brief and a full video storyboard per study. Prompts are the deliverable; rendering comes after they read right.

1/7
0 ready 1 need you mfugaj/dash-foogy $2.40 of $120 (2%)

Task graph

Ordered the way the dispatcher would work it. Each row shows the loop's own verdict — this is the same computation scripts/next.mjs runs, not a second opinion.

The spec

Case study media

Ten case studies on foogy.xyz. The work behind them is strong and the assets exist — they just aren’t presented as a system, and there is no motion at all.

What exists today

Case studies10 — zevo, wire, samsung-eshop, agent4, depunks, haas, hive3, liberoverse, sancta-domenica, traverse
With image assets8 of 10 (5–6 files each). agent4 and depunks have none
With Figma links4 of 10 — haas, hive3, traverse, zevo
With motion0
Categoriesux-ui and web3-ai

Two gaps decide the shape of this mission: the two newest and most strategically important studies (agent4, depunks) have no imagery at all, and nothing anywhere moves.

Goal

A repeatable way to present any case study, applied to all ten, so the set reads as one body of work rather than ten separate efforts — plus a video storyboard per study, written as prompts precise enough to render later without rethinking the idea.

Scope

  • A presentation template. What a case study shows, in what order, at what aspect ratios, and which frames are mandatory versus optional. The assets are already in Figma; the missing thing is a decision about what to pull out of them.
  • One art direction across all ten — palette, lighting, composition, treatment — so a viewer can tell they came from the same studio.
  • Per study: an image brief with a full generation prompt per frame.
  • Per study: a video storyboard — shot list, timing, motion, and a complete prompt per shot.
  • Then, and only then, generation.

Non-goals

  • No rendered video in this mission. Storyboards and prompts are the deliverable. Video is the most expensive thing to get wrong and the most expensive to redo; the prompt has to read right before anything is spent.
  • No rewriting the case study copy. This is presentation, not editorial.
  • No portfolio redesign. The media has to fit the existing light theme and #ff5a1f accent as it stands.
  • Not replacing the existing 8 covers wholesale. Where a real screenshot is better than a generated image, it stays — this is not an excuse to make everything synthetic.

Constraints

  • Real work outranks generated work. These are case studies about things that actually shipped. Generated imagery frames, contextualises and adds motion; it never fabricates a product that did not exist or a screen that was never designed. Anything that could read as a claim about the client’s real product is out.
  • Higgsfield generation calls require explicit approval in this environment — the balance check alone was gated. Treat every generation as human-authorised, and design the tasks so a batch is approved once rather than a prompt at a time.
  • Figma is the source of truth for what was actually designed. Where a Figma link exists, the template must be checkable against it.
  • Deliverables are markdown docs in src/docs/foogy-xyz__*.md so they render on the dashboard and can be read on a phone.

Acceptance (mission-level)

  • One template document that a person could apply to an eleventh case study without asking a question.
  • Ten image briefs, each with per-frame prompts that name the aspect ratio, subject, treatment, and what the frame is doing in the narrative.
  • Ten video storyboards, each with a shot list and a complete prompt per shot.
  • agent4 and depunks have a full plan despite starting with zero assets.
  • Every generated frame is traceable to the brief line that asked for it.

The line

Prompt-writing, briefs and storyboards are lane 2 but cheap and reversible.

Generation is where money leaves. It is gated behind an approved brief, runs as one batch per study rather than ad hoc, and stops at the budget cap. No task in this mission renders video.