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A field guide to making more with AI

Prompt Better.

Find the move behind the wow.
Then make it work for you.

Start with your own work

“What could I make with this?”

Take an example to your own AI and ask for ideas grounded in what it knows about you.

Replace the brackets, attach your material, and paste into an AI that can use the required tools. These are adaptable prompts we derived from the examples. Creator-shared prompts and code are linked beneath their posts.

Give it a reference and a repair loop — “Match this reference, compare the result, and fix the biggest differences.

A photo, sketch, clip or existing page gives the AI something concrete to work toward. Make comparison part of the assignment.

Adapt this prompt

Match this reference, compare the result, and fix the biggest differences. Use [attached reference] to create [editable artifact] for [purpose]. Preserve [the three qualities that matter most]. First describe what you can actually observe in the reference and flag anything you cannot access. Build a first version, render or preview it with the tools available, and compare it against the reference. Fix the three most important discrepancies, then repeat once. Keep the result editable and tell me what still differs. Do not claim you inspected a result you could not open.

Make it work

  • Attach the actual reference; a name alone leaves more to guess.
  • Name what must survive: layout, motion, structure, identity or meaning.
  • Ask for a comparison of the rendered result, followed by specific repairs.

You’ll needYour reference plus an AI workspace that can create and inspect the requested output.

The checkPut the reference and output side by side. Which three visible differences remain?

See the move in action16 examples

A gallery of coded 3D interfaces

A showcase moves through modeled icons, a luminous landing page and laptop/display mockups. Meng To credits Astra and shares prompts plus a loop of comparing the output with its reference and fixing mistakes.

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What to notice. Use a visual reference as a repeated acceptance check, asking the AI to inspect discrepancies and revise the implementation.

Open this example

Nine studio photos become an explorable 3D space

Ryan Nickson shows a studio model with room shortcuts, cutaway views and a ceiling toggle. He says Astra reconstructed the space from nine photos.

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What to notice. Translate scattered references into one inspectable representation, while marking which relationships are observed, inferred or approximate.

Open this example

A convincing reconstruction can still invent missing geometry, facts or behavior. Check fidelity where it matters.

Contents

Turn adjectives into visible choices — “Make the feeling concrete: specify the scene, motion, controls, and finish.

“Beautiful” leaves many decisions open. Describe the visual choices and behaviors that would make the result feel right.

Adapt this prompt

Make the feeling concrete: specify the scene, motion, controls, and finish. Create [artifact] for [audience] with a [desired mood] feel. Translate that mood into a short brief covering composition, materials or typography, lighting or color, motion, and the user's main interaction. Use [reference or constraints]. Choose a coherent direction and build it. Include a usable small-screen layout if this is a website, a reset or return action where needed, and a reduced-motion option for nonessential animation. Show the working result and identify the unfinished details.

Make it work

  • Specify one audience and one main interaction.
  • Describe a few decisive details instead of piling on style adjectives.
  • Include the ordinary states: small screens, reset, empty states and reduced motion.

You’ll needA brief, a style reference when useful, and a preview of the output.

The checkCan someone use the main interaction without instructions, and does the result still work without its decorative effects?

See the move in action12 examples

An anime teaser site with a mobile layout

An illustrated anime teaser website is scrolled and resized into a mobile navigation layout. The creator says Astra handled the site and image work in 13 minutes.

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What to notice. Carry the same content hierarchy from a wide layout to a narrow screen, checking navigation and the primary action.

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Polish in a recording does not establish usability or accessibility. Test the ordinary states yourself.

Contents

Name the tools and the handoffs — “Use the right tool for each stage and keep every intermediate file editable.

Many striking results combine a model, existing assets and specialist software. Make the division of work explicit.

Adapt this prompt

Use the right tool for each stage and keep every intermediate file editable. Make [result] using [available tools and source assets]. First list what you can actually access, what each tool will do, and what file or data passes to the next stage. Reuse suitable supplied assets and preserve their credits. Complete one small end-to-end example before expanding. Check each handoff by opening its output in the next tool. Save the source project as well as the finished export. If an integration or permission is missing, give me the exact next step rather than claiming the action succeeded.

Make it work

  • List available tools and files; do not assume the AI can reach them.
  • Name the output of each stage and the input expected by the next.
  • Keep the editable scene, code or project alongside the final video.

You’ll needAccess to the destination software and any assets the workflow depends on.

The checkOpen one intermediate file in its destination tool. Does it contain what the next stage needs?

See the move in action19 examples

A Tripo character gets a Blender rig

A pink-haired 3D character changes pose in Blender while its rig and mesh are revealed. The creator describes a Tripo-to-Blender workflow, with Astra assembling and rigging the model through a custom helper app.

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What to notice. Generate difficult components separately, assemble them in the target tool, and test the joints between stages.

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A 3D sketch becomes a dragon flight

A split-screen video pairs a gray 3D scene labeled GPT-6 Astra with a rendered dragon flying through floating islands and ruins. The creator describes a workflow using Astra, Blender, and Flova.

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What to notice. Use a rough 3D scene to specify spatial layout and camera movement before asking a video tool for surface detail.

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The model may assemble, edit or direct assets it did not create. Credit those contributions separately.

Contents

Ask for inspection controls — “Show the whole, then let me isolate, label, and inspect each part.

Turn a static explanation into something people can investigate: select a part, change a view, reveal a layer, then return to the whole.

Adapt this prompt

Show the whole, then let me isolate, label, and inspect each part. Build an interactive explanation of [system] for [audience], using [trusted source material or data]. Start with an overview. Let the viewer select a component, isolate it, see its name and role, and return to the complete system. Add [an exploded view, layer toggle, cutaway or linked chart] only where it helps answer a real question. Keep labels readable and provide a reset. Clearly mark illustrative geometry and unverified facts. Test each control with one concrete example.

Make it work

  • Choose the questions a viewer should be able to answer.
  • Ask for selection, isolation and return-to-overview explicitly.
  • Link alternate views so people can relate a component to the whole.

You’ll needReliable source material and a workspace that can preview interactive output.

The checkCan you locate one part, explain its role and return to the overview without losing your place?

See the move in action6 examples

A V8 engine with animated parts and diagnostic views

An animated V8 engine offers camera changes, an isolated cylinder and crankshaft view, and labeled overlays. The creator credits Astra and Three.js, and describes it as an illustration that does not require physical simulation.

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What to notice. Explain a mechanism with coordinated whole-system and component views that viewers can inspect separately.

Open this example

An anatomy atlas that comes apart

Explore a 3D Human Atlas by pulling anatomical structures apart, inspecting labels, and filtering body systems. The creator attributes the website to GPT-6 Astra; the interface credits BodyParts3D for its anatomy assets.

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What to notice. Take an existing structured asset collection and add selection, filtering and an exploded view around a clear inspection task.

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Detailed models and moving charts are not automatically anatomically, mechanically or scientifically accurate.

Contents

Direct the explanation scene by scene — “Guide the audience through one question at a time.

A sequence gives an explanation direction. Specify what the audience should understand at each stage and what changes on screen.

Adapt this prompt

Guide the audience through one question at a time. Explain [topic] to [audience] as [a short video, guided walkthrough or interactive story]. Use [source material]. Outline five beats: the opening question, essential context, the mechanism, a concrete example, and a useful takeaway. For each beat, name the question answered, the visual change, and the shortest necessary caption or narration. Build one complete beat first, then assemble the sequence. Keep transitions purposeful, include pause or replay where relevant, and flag facts that need checking.

Make it work

  • Give every scene a question to answer.
  • Coordinate the visual change with its explanation.
  • Finish with a takeaway or a small check of understanding.

You’ll needA clear audience, source material, and a suitable video or interactive authoring tool.

The checkAfter watching, can a reader explain the main idea in their own words without repeating the captions?

See the move in action13 examples

A guided tour through the brain, one structure at a time

A brain model separates and highlights structures beside short explanatory cards, moving from the surface toward internal connections. Jeremy attributes the guided walkthrough to Astra and a two-hour build; the footage shows the presentation, not the creation process or anatomical validation.

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What to notice. Guide a reader from the whole to one named part at a time, retaining a visible connection back to the whole.

Open this example

A staged educational video about T cells

A staged video explains T cells with labeled illustrations, chapters and a final recall card. The author describes an Astra workflow combining Remotion, Imagegen and HeyGen, and shares the starting prompt.

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What to notice. Turn a topic into a short sequence of explanatory scenes, then finish with a concise recall check.

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A coherent explanation can still contain factual errors. These demos do not establish learning gains.

Contents

Make the hypothesis visible — “Separate what you observed, what you inferred, and what would change your mind.

An unusual input can suggest a useful model of a situation. Keep the inference inspectable instead of letting a polished visualization hide the uncertainty.

Adapt this prompt

Separate what you observed, what you inferred, and what would change your mind. Use [recording, data or evidence] to build a provisional representation of [question]. List the observations first. Show the assumptions that connect them to your proposed explanation. Where several explanations fit, show at least one alternative. Make the important assumptions adjustable if useful. Label illustrative values and unknowns visibly. Suggest one feasible observation or test that would help distinguish the alternatives. Do not present an attractive reconstruction as a uniquely established result.

Make it work

  • Preserve the input evidence alongside the representation.
  • Label measurements, assumptions and invented illustrative values differently.
  • Ask what further evidence would discriminate between explanations.

You’ll needThe underlying evidence and a way to inspect or test the proposed explanation.

The checkWhat is directly supported, and which extra observation would most improve confidence?

See the move in action7 examples

An acoustic room hypothesis from a barking recording

A dog-barking recording becomes a provisional diagram of a room. The visualization lists reflection delays and inferred distances, and explicitly warns that it is not a unique reconstruction.

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What to notice. Turn an indirect signal into an inspectable hypothesis while displaying the assumptions and ambiguity beside it.

Open this example

An interactive model of drinking-glass drying

Astra is credited with an interactive, simplified model of drinking-glass drying, with adjustable airflow and humidity. Its own interface cautions that the curves cannot establish which orientation dries faster in reality.

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What to notice. Expose a model’s assumptions as controls, then compare its predictions with one small real-world observation.

Open this example

These examples motivate exploratory representations, not validated scientific inference from arbitrary inputs.

Contents

Build one complete slice and test it — “Build the smallest usable version and show me that its main action works.

A small finished loop reveals more than a broad unfinished promise. Define a visible success condition before expanding the scope.

Adapt this prompt

Build the smallest usable version and show me that its main action works. Create a first version of [idea] for [user]. Its essential loop is [input → action → useful result]. Define three observable acceptance checks and build only what is needed to pass them. Use the actual available environment and assets. Run those checks, including one failure or edge case, and report what you observed. If you cannot execute a check, mark it untested. Stop after the core loop works and list the highest-value next improvement; do not expand into a full product yet.

Make it work

  • Describe the complete input-to-result loop in one sentence.
  • Define success with observable checks, not “make it impressive.”
  • Ask the AI to stop at a useful review point.

You’ll needA runnable environment and a small, observable definition of success.

The checkCan you repeat the main action yourself, including a reset or a second run?

See the move in action21 examples

Browser-based fighter movement and collision lab

Astra is credited with a browser fighting-game experiment showing two Mario-like characters, jumping and attack states, damage counters and debugging controls.

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What to notice. Isolate a difficult interaction in a minimal test scene and expose the state needed to diagnose it.

Open this example

A multilingual library of pop-up stories

StoryComet combines illustrated pop-up books, reading controls, language switching and a souvenir/progress dashboard. Its public library lists 15 books in five languages. MengTo credits Fable 5.1 and a three-day build, while disclosing spending on 3D models and tokens.

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What to notice. Connect one explanation to staged presentation, optional narration and a comprehension check before expanding it into a library.

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A recorded prototype or final state does not prove reliable execution, autonomy or production readiness.

Contents

Compare genuinely different approaches — “Create two contrasting versions and judge them against the same goal.

Alternatives make tradeoffs visible. Ask for different approaches to the same task, then compare them using criteria chosen in advance.

Adapt this prompt

Create two contrasting versions and judge them against the same goal. For [task and audience], propose two meaningfully different approaches. Keep the source material, scope and constraints the same. Before building, define three criteria tied to the intended use. Produce small comparable versions, inspect both, and explain the tradeoffs using those criteria. Recommend one for my purpose, or a specific combination, with a concrete next experiment. Distinguish observed differences from guesses; do not treat a single attractive result as a general model benchmark.

Make it work

  • Vary the approach while holding the brief steady.
  • Choose evaluation criteria before looking at the outputs.
  • Keep the comparison tied to your purpose and next action.

You’ll needA fixed brief, comparable outputs and a practical decision to make.

The checkCan you explain why one version serves your audience better using evidence from the outputs?

See the move in action7 examples

Two takes on a KFC-style ad

A side-by-side comparison contrasts a skating-and-fried-chicken sequence with floating KFC buckets and a miniature branded building scene. The creator credits Fable 5.1 and Astra through HeyOz.

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What to notice. Create two different visual arguments for the same offer, then compare what each makes the audience notice.

Open this example

Two visual treatments of a pirate battle

A split-screen clip compares a detailed pirate-deck scene labeled Astra plus Higgsfield with a simpler treatment labeled Fable 5.1. Both progress from deck movement to cannon fire and a sinking ship.

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What to notice. Compare two treatments of the same sequence against one stated purpose, separating presentation quality from functionality you have not tested.

Open this example

The archive’s comparisons are illustrative. They are not controlled tests of overall model quality.

Contents

Ask for the tool’s native approach — “Read the tool’s documentation and use its native features before adding workarounds.

Repeated patching may mean the implementation is fighting its destination tool. Ask the AI to check the intended way to build the effect.

Adapt this prompt

Read the tool’s documentation and use its native features before adding workarounds. Recreate [effect or behavior] in [application] using [reference]. Check the current official documentation for the features best suited to the job. Explain the simplest native implementation and any tool access you need. Build a small editable example, inspect the result, and compare it with the reference. If the approach stalls, reassess the mechanism before stacking more patches. Name the documentation consulted and mark any step you could not verify.

Make it work

  • Name the destination application and the desired behavior.
  • Ask the AI to consult the relevant current documentation.
  • Change the implementation strategy when repeated fixes fail.

You’ll needAccess to the application or its project format and the relevant documentation.

The checkIs the result editable using the application’s normal controls, and can the AI explain the features it used?

See the move in action1 example

Astra-assisted typography animation in Cavalry

A Cavalry composition cycles through animated Chinese typography. The creator credits @fafa818969’s reference and says Astra improved the recreation after consulting the software’s documentation.

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What to notice. Give an agent a reference, the relevant tool documentation and a concrete comparison target; ask it to explain the mismatch before revising the implementation.

Open this example

This lesson comes from a creator-reported workflow; the entire debugging process was not independently observed.

Contents

Give the prompt somewhere to work.

Choose the setup for the result you want. These are tools and workflows named in the archive, not a universal shopping list.

Interactive websites & 3D viewers

The Temple of Heaven creator supplies a detailed TypeScript / Three.js prompt, including camera controls and explode/reassemble behavior. It is one concrete recipe for an interactive viewer.

Editable scenes & character assets

The rigging and dragon examples use Blender within a larger workflow. Existing meshes, imported motion and asset tools can matter as much as the prompt. Keep the scene file and credit its inputs.

Explanatory video & motion design

The T-cell creator names Remotion, Imagegen and HeyGen. The typography creator describes working inside Cavalry. Choose the authoring workflow for the output; these tools are not all needed for every video.

Actions inside existing software

A prompt needs a working connection to the application. The Minecraft creator shares a keyboard/mouse/screenshot toolkit; SuperAstra documents a desktop companion and emulator setup.

When does an MCP matter?

MCP is a standard for connecting an AI application to external tools and data. Use a connection when your chosen workflow needs access the AI does not already have. Ask it to verify that access before building. About MCP ↗

The examples do not establish a single required Blender MCP or universal setup. Some helpers are private; a linked repository may have its own license and prerequisites.

From inspiration to a first result

One idea. Three passes.

  1. 01

    Make the target concrete

    Pick one useful output, attach a reference, and define what a good result must do.

  2. 02

    Build a small working version

    Give the AI the inputs and tool access. Complete one loop, scene or interaction.

  3. 03

    Inspect, repair, then share

    Test the result yourself. Fix the largest gap and preserve source files, credits and relevant limits.

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