Vision Prompts

Vision Prompts: Image Logic Planner

Turn a messy visual question into a clean spatial reasoning plan for Gemini. Product teams, educators, and SEO editors get structured Python and JavaScript logic for detecting regions, zooming crops, and inspecting objects with accountable steps.

Build spatial reasoning logic

Describe your image task. We draft Python and JavaScript you can paste into a notebook or service, aligned to a four stage pipeline: load, propose regions, zoom or crop, and ask Gemini to reason with evidence.

Example goal: Find the red valve, zoom in, and confirm whether it is open or closed relative to the pipe.

Output is generated locally in your browser. Review model policies, image rights, and coordinate validation before production use.

Frequently asked questions

Vision Prompts produces structured Python and JavaScript snippets that describe how to load an image, propose candidate regions, zoom or crop for inspection, and ask Gemini to compare spatial relationships with explicit reasoning steps. Each block names variables, states assumptions, and includes a final prompt template so your team can trace what the model is being asked to verify.

Yes. The output is plain code and prompt text you can paste into notebooks, Node scripts, or app backends. You should still validate coordinates, image formats, and model policies for your environment. Treat the planner as a drafting assistant that accelerates alignment between engineers and content owners, not a substitute for testing on real assets.

It turns vague image tasks into repeatable procedures with headings, alt text guidance, and structured captions, which improves consistency for long articles, tutorials, and landing pages that rely on accurate visual explanations. When writers know the inspection order, they produce clearer figure legends and reduce contradictory claims that hurt trust and search quality.

Why Use Vision Prompts: Image Logic Planner?

Speed

Vision Prompts collapses hours of back and forth into one pass by drafting the load, crop, and question sequence your team already needs. Instead of inventing coordinate math from scratch, you receive a ready skeleton with sensible defaults for tiling and zoom depth. Writers and engineers can iterate on the same artifact, which shortens review cycles for launches, audits, and incident documentation that depends on screenshots.

Security

The planner keeps your drafting local in the browser and encourages explicit handling for sensitive assets. Generated logic includes reminders to avoid leaking private metadata in filenames, to respect access controls when loading images, and to redact regions that contain personal data. Teams can adopt the output behind their own storage and auth layers without exposing proprietary layouts to third parties.

Quality

Spatial reasoning fails when prompts hide assumptions. Vision Prompts forces clear stages so Gemini must justify claims with visible evidence such as bounding hints, zoomed crops, and contrast checks. That structure reduces hallucinated object labels and improves reproducibility when you rerun the same plan on a revised screenshot or a higher resolution export from design tools.

SEO

Search engines reward pages that explain visuals with precision. Vision Prompts gives you language for captions, alt text, and stepwise figure descriptions that match how the model inspects the image. When editorial and technical SEO teams share one plan, you reduce thin content around images and build topical authority in guides that teach readers how to verify what they see.

Who Is This For?

Bloggers

Bloggers use Vision Prompts when tutorials hinge on a single screenshot, such as comparing product panels or demonstrating a software toggle. The planner outputs a repeatable inspection order so you can describe zoom levels and spatial relationships without guessing. That leads to richer captions and fewer corrections after publication.

Developers

Developers adopt Vision Prompts to prototype Gemini calls that combine code side preprocessing with natural language questions. You receive starter functions for tiling, normalization, and evidence first answers, which you can wire into pipelines that serve internal tools. It keeps experimentation consistent across teammates who might otherwise write incompatible prompt styles.

Digital Marketers

Digital marketers rely on Vision Prompts when landing pages include hero shots, packaging, or compliance heavy imagery. The generated logic helps you ask Gemini to verify claims against what is actually visible, which supports legal review and brand consistency. You can also reuse the structure across campaigns to standardize how creative QA documents visual assertions.

The ultimate guide to Vision Prompts for Gemini spatial reasoning

What Vision Prompts is and what problem it solves

Vision Prompts is a practical drafting layer for teams that already trust Gemini for language but need a disciplined approach to images. Spatial reasoning is not only about naming objects. It is about proving relationships such as left of, inside, partially occluded, or aligned with a grid line. Without a plan, multimodal prompts become a loose paragraph that invites confident mistakes. Vision Prompts translates your goal into a staged procedure that mirrors how a careful human would inspect a picture, which makes automated checks easier to audit.

The planner focuses on two implementation paths. Python suits data teams that preprocess with common imaging stacks. JavaScript suits product engineers who already run Node or browser side tooling for uploads and canvas transforms. You can also request both so backend and frontend share one narrative. Each output emphasizes variables you will need, such as image paths or buffers, tile sizes, and the exact question Gemini must answer after each zoom.

Why structured spatial reasoning matters for trustworthy answers

Models perform better when the task reduces ambiguity. A single prompt that says describe everything forces the model to choose its own attention strategy, which may skip the one detail your business cares about. Vision Prompts instead encodes an inspection contract. You declare what constitutes evidence, how tight a crop must be, and what to do when contrast is low. That contract improves reliability for regulated workflows, customer support screenshots, and editorial claims that must match what readers can see.

Structured reasoning also helps teams scale reviews. When every run follows the same steps, failures become easier to classify. If a detection step is wrong, you adjust tiling. If a relationship step is wrong, you refine the comparative question. If a zoom step is too aggressive, you widen the crop. Vision Prompts makes those adjustments explicit in code shaped comments so engineers and subject experts share one language.

How to use Vision Prompts effectively in real projects

Start by writing the user visible goal in plain language, then choose the image context that best matches your asset type. Photographs benefit from cautious object proposals. Diagrams benefit from grid aware language. User interface screenshots benefit from region names tied to widgets. Document scans benefit from reminders about skew and lighting. Next, pick a granularity level that matches your resolution. Coarse tiles are faster. Fine crops are slower but better for small text.

Generate the plan and read it as a checklist before you paste anything into production. Confirm that paths and libraries match your stack. Replace tentative constants with values from your telemetry. Add unit tests for geometry helpers if you rely on automatic cropping. When you call Gemini, attach the intermediate crops if your policy allows, or describe them precisely if you cannot transmit pixels. Finally, log the stages. Good logs turn one off analyses into repeatable services.

Common mistakes to avoid when planning spatial reasoning

The most common mistake is skipping the propose step and jumping straight to a question about the whole frame. That invites answers that sound specific but are not anchored to a region. Another mistake is mixing multiple unrelated questions in one call, which makes it hard to know which instruction failed. Vision Prompts separates detection, zoom, and verification so you can measure each piece.

Teams also stumble by ignoring scale. A label visible in a thumbnail may be unreadable until you zoom. If you do not encode zoom, the model may guess characters. Likewise, color words are unreliable under poor white balance, so the planner nudges you toward comparative checks and local contrast notes. Finally, treat uncertainty as a first class outcome. When you select strict safety, the generated prompt tells Gemini to abstain unless the crop clearly supports the claim. That is often better for brand safety than forcing a yes or no.

Another failure mode is overfitting language to a single lucky screenshot. Your pipeline should tolerate reasonable variance in lighting, compression, and minor cropping differences. When you test, swap in alternative captures of the same scene and confirm that the plan still names the same critical regions. Vision Prompts gives you a stable skeleton so those experiments focus on robustness rather than on reformatting ad hoc prompts each time.

Collaboration improves when reviewers can comment on stages instead of arguing about prose. Ask your legal or policy partners to mark whether the propose step is acceptable, whether the zoom step is tight enough, and whether the verification question matches the claim you intend to publish. That structured feedback is easier to action than a generic rewrite request that hides which assumption broke.

Used with discipline, Vision Prompts becomes the bridge between creative intent and engineering reality. It does not replace human judgment on sensitive decisions, but it raises the floor for documentation, training content, and customer communications that depend on what is actually on screen.

How it works

1

Capture the goal

You describe the spatial question Gemini must answer, such as locating a component or comparing two regions.

2

Choose context

You select image type, language, granularity, and safety mode so the draft matches real world constraints.

3

Generate logic

Vision Prompts composes load, propose, zoom, and verify stages with code aligned to your selections.

4

Paste and validate

You paste the output into your environment, attach crops if allowed, and validate coordinates on sample images.

About Vision Prompts

Vision Prompts exists to make multimodal collaboration predictable. We focus on the gap between a compelling screenshot and a defensible explanation, especially for teams that publish educational content, ship software, and answer customers with visual evidence.

Our planner emphasizes staged inspection because that is how experts work when the stakes are high. If you want the full story behind our mission, values, and how we support free tools, visit our dedicated About page.

Vision Prompts journal

Practical articles on spatial reasoning, Gemini workflows, and content quality.

What is Vision Prompts: Image Logic Planner and why every technical content team needs it

Meta description: Learn what Vision Prompts generates for Gemini spatial reasoning and why technical content teams use it to make image explanations consistent, fast, and auditable.

Estimated read time: 6 minutes

A practical definition grounded in real publishing pressure

Technical content teams live between engineering accuracy and reader comprehension. A tutorial is only as trustworthy as its screenshots, yet most drafting workflows treat images as decorative. Vision Prompts: Image Logic Planner changes that posture by giving you a repeatable procedure for Gemini spatial reasoning. Instead of asking a model to interpret an entire image in one breath, you receive a staged plan that mirrors how a careful reviewer would scan, zoom, and verify relationships between regions.

Why generic prompts fail for spatial tasks

Generic prompts encourage the model to improvise attention. That improvisation might work for casual descriptions, but it is risky when a page claims a product feature, a compliance rule, or a safety critical detail. Vision Prompts encodes separation between proposing candidate regions, refining crops, and only then asking comparative questions. That separation makes errors easier to localize and fix, which matters when multiple stakeholders sign off on a release.

How teams embed the planner into editorial cadence

Editors can generate a plan at outline time, not only at publication time. Early planning produces better figure captions because the inspection order becomes the story order. Engineers can translate the same artifact into preprocessing code, which reduces mismatch between what writers think is visible and what the pipeline actually sends to Gemini. The result is fewer last minute rewrites and stronger internal alignment.

Measuring value beyond vanity metrics

The value shows up as reduced correction tickets, faster legal review for visual claims, and higher reader trust signals such as time on page for complex guides. Vision Prompts does not promise perfect vision, but it raises the quality floor by forcing explicit evidence stages. That is a meaningful improvement for teams that publish frequently and cannot afford silent mistakes in imagery.

If you are building a library of evergreen explainers, standardizing spatial reasoning is one of the highest leverage investments you can make. Vision Prompts gives you a shared language that scales across writers, designers, and developers without forcing everyone to become a computer vision expert overnight.

Governance, review workflows, and audit trails

Large teams fail when prompts live in private chats. Vision Prompts encourages you to treat each plan like a tiny specification that can be checked into documentation alongside the article draft. Reviewers can see the intended inspection order before publication, which makes it easier to reject vague figure claims early. Over time, your organization accumulates a library of approved patterns for common screenshot types, which is invaluable when you onboard new writers or translate content into multiple languages.

Audit trails also matter for regulated industries. When someone asks why a caption says a switch is off, you can point to the verification stage and the crop assumptions behind it. That does not guarantee correctness, but it demonstrates diligence. Vision Prompts is built for teams that would rather show their work than rely on a single heroic editor who remembers every visual detail from memory.

Return to the planner on Home and jump to the tool section

Vision Prompts: Image Logic Planner versus manual alternatives, which saves more time

Meta description: Compare Vision Prompts with manual prompt drafting for Gemini spatial reasoning and see where automation saves time without sacrificing accountability.

Estimated read time: 6 minutes

The hidden cost of manual prompt iteration

Manual drafting looks cheap until you count meetings. Teams rewrite prompts in chat threads, lose track of which version matched which screenshot, and rediscover the same cropping bugs every quarter. Vision Prompts compresses the repetitive skeleton into a generated draft so your experts spend time on domain judgment, not on retyping boilerplate loops for tiles and zoom levels.

When manual work still makes sense

Manual work remains important for proprietary geometry and rare sensors. If your images need calibration curves or custom object models, you will extend any generated plan with specialized code. Vision Prompts is strongest as a baseline that enforces structure. It does not replace domain libraries, but it prevents unstructured prompts from becoming your default interface to Gemini.

Side by side workflow comparison

A manual workflow often jumps from raw image to a verbose question. Vision Prompts inserts propose and refine stages by default, which adds lines of code but reduces failure modes. In practice, the extra lines save time because they cut down on ambiguous answers that send teams back to square one. You trade a few minutes of reading structured output for hours of unstructured debugging.

How to decide what to automate first

Automate first for high frequency tasks such as UI screenshots, standard photography, and repeatable diagram reviews. Keep manual control for one off art direction and experimental campaigns. Vision Prompts supports that split by letting you regenerate plans as assumptions change, without forcing you to discard institutional knowledge encoded in your libraries.

Time savings compound when you reuse the same plan template across a content series. The planner nudges you toward consistent stage names and variables, which makes code review faster and onboarding smoother for new contributors who need to understand how your team asks Gemini to reason over images.

Scaling the approach across squads without chaos

As teams grow, the risk is not laziness but fragmentation. One squad writes poetic prompts, another writes brittle instructions, and a third writes beautiful code nobody can read. Vision Prompts gives everyone the same skeleton so differences show up in domain expertise rather than random structure. That consistency makes it easier to compare experiments fairly because you changed one variable at a time instead of rewriting the entire pipeline for every test.

Manual alternatives often feel flexible at first, yet flexibility becomes a liability when you need to reproduce a result from six months ago. A saved plan is a lightweight artifact that travels well between tools. Even if you migrate from one hosting environment to another, the stages remain meaningful. That portability is where Vision Prompts quietly earns its keep.

Open Home and continue in the tool section

How to use Vision Prompts: Image Logic Planner to improve your SEO in 2026

Meta description: Use Vision Prompts in 2026 to strengthen image centric SEO with structured captions, accurate alt text guidance, and trustworthy visual claims.

Estimated read time: 7 minutes

Why search quality and visual clarity converged

Search systems increasingly reward pages that explain visuals with specificity. Thin captions and generic alt text signal low effort, while structured explanations that match the image content support stronger relevance. Vision Prompts helps you generate the same staged reasoning you want from Gemini, which doubles as an editorial outline for headings and captions that align with what you can actually defend visually.

Turning planner output into on page elements

Use the propose stage to draft short alt text that names the primary subject. Use the zoom stage to write a longer description for detailed figures. Use the verify stage to produce a concise claim supported by visible evidence, which becomes your caption lead. When those elements match, readers stay longer and bounce less, which reinforces the page as a useful resource.

Structured data and editorial integrity

Structured data is not a substitute for honest text, but honest text makes structured data more reliable. Vision Prompts encourages language that tracks specific regions rather than vague superlatives. That discipline supports FAQ and how to content that can earn rich results without crossing into misleading precision. Your writers still edit for voice, but they start from a fact aligned scaffold.

A 2026 checklist for publishing teams

Before publication, confirm that each major image has a plan, that crops exist for small text, and that comparative claims reference a verification step. Refresh evergreen posts when UI screenshots change, regenerating plans rather than patching paragraphs from memory. Vision Prompts makes those refreshes cheaper, which means your site stays accurate as products evolve.

SEO in 2026 is not only keywords. It is provable helpfulness. Vision Prompts strengthens helpfulness for visual topics by reducing the gap between what you say and what users can see, which is exactly where many otherwise strong articles quietly fail.

Experience, expertise, authoritativeness, trust, and the visual layer

Search evaluators increasingly look for evidence that authors know what they are describing. For visual topics, expertise shows up in precise language that matches the figure. Vision Prompts helps authors produce that language systematically rather than inspirationally. When your captions track an inspection order, readers sense that a human reviewed the image carefully, which supports trust even before they read the body text.

Authoritativeness also improves when your site becomes a repeatable reference. If every tutorial follows a recognizable reasoning structure, users learn how to read your content efficiently. That familiarity increases return visits and reduces support burden because explanations are easier to follow. Vision Prompts is not magic, but it is a practical way to turn good intentions into a consistent publishing standard.

Go to Home and open the tool section

Top five use cases for Vision Prompts: Image Logic Planner you have not thought of

Meta description: Discover uncommon but high value uses for Vision Prompts, from support QA to design audits and accessibility reviews.

Estimated read time: 6 minutes

Customer support evidence packets

Support teams often need to explain a bug with screenshots. Vision Prompts generates a staged approach that forces zoomed evidence before conclusions, which reduces accidental blame and speeds engineering triage. The same structure helps agents stay consistent across shifts.

When tickets escalate, managers can read the plan and understand what was checked without replaying a long thread. That clarity matters for service level agreements and for training new agents who need exemplars of high quality evidence packets.

Design system audits for spacing and alignment

Design QA is spatial by nature. Use the planner to ask Gemini to compare component boundaries and alignment relative to baselines, not just to describe aesthetics. The output encodes how to crop and compare regions so reviewers focus on measurable deviations.

Accessibility reviews that pair vision with policy language

Accessibility work benefits from careful reading of contrast and focus states. Vision Prompts helps you build prompts that inspect specific widgets after zoom, then translate observations into remediation notes. It keeps the technical steps separate from the policy interpretation your experts provide.

Field photography for operations and safety documentation

Operations teams capture real world photos where labels matter. A staged plan reduces the chance that a model confuses similar hardware. Vision Prompts adds conservative language for abstaining when a crop is ambiguous, which is often the correct safety outcome.

Curriculum design and skills based assessment

A fifth use case is curriculum design. Educators can teach critical thinking by showing how visual claims should be verified. Vision Prompts makes the verification steps explicit, which helps students learn method, not only answers. Instructors can grade the reasoning chain rather than only the final label, which rewards careful observation.

Workshops benefit too. A cohort can compare plans for the same image and discuss tradeoffs in tile size and zoom depth. That discussion builds intuition for how models behave under uncertainty. These use cases share a theme: anytime a picture could create liability or confusion, structured reasoning is worth the extra discipline.

Return Home to use the planner in the tool section

Common mistakes when writing image prompts for Gemini, and how Vision Prompts fixes them

Meta description: Avoid common Gemini image prompt mistakes with Vision Prompts staged detection, zoom, and verification patterns.

Estimated read time: 6 minutes

Mistake one, asking for everything at once

Bundled questions blur accountability. Vision Prompts splits detection and verification so you can see which stage failed. That split is essential when you iterate with subject matter experts who need clear feedback loops.

Mistake two, skipping zoom for small text

Small text invites hallucination when the model never receives a tight crop. Vision Prompts bakes zoom into the plan and reminds you to attach or describe crops. The result is a more honest interaction with limits.

Mistake three, vague spatial language

Words like near or next to need anchors. The planner encourages coordinates or region names and comparative questions that reference those anchors. Your prompts become easier to test and easier to explain to legal reviewers.

Mistake four, ignoring uncertainty policies

Not every image supports a firm answer. Vision Prompts includes strict modes that instruct Gemini to abstain unless evidence is clear. That reduces brand risk compared to forcing confident guesses.

Mistake five is treating code and language as separate worlds. In production, they are one system. Vision Prompts outputs both so engineers and writers align early. When alignment happens early, you spend less time undoing prompt drift across releases.

Mistake six, inconsistent crop naming and missing version notes

Teams often reuse prompts across image revisions without stating which screenshot version they used. The model may answer faithfully for the wrong frame. Vision Prompts encourages explicit stage labels and reminds you to tie crops to a specific asset revision. That habit prevents silent mismatches when designers export a new PNG overnight.

Regression testing prompts the way you regression test code

Treat your spatial reasoning plan like a function contract. When the underlying image changes, rerun the plan mentally and update the zoom strategy if text became sharper or if a widget moved. Vision Prompts gives you a checklist for those updates so you do not rely on memory alone.

In mature teams, a small golden set of screenshots anchors quality. You compare model answers across releases to detect regressions in behavior or in preprocessing. Vision Prompts makes it easier to keep that golden set organized because each image has a matching plan document rather than a scattered pile of chat prompts.

Jump to Home and the tool section to draft your next plan

About Vision Prompts

Our mission

Vision Prompts exists to make visual reasoning legible. We believe multimodal models are most valuable when teams can explain, step by step, how a conclusion relates to pixels on a screen. Our mission is to reduce guesswork in that process by providing planners, patterns, and education that treat images as evidence, not decoration.

We focus on practitioners who ship real content and real software. That includes technical writers, developer advocates, product marketers, and support leaders who are tired of rewriting the same fragile prompts whenever a screenshot changes. By emphasizing staged workflows, we help organizations build habits that survive turnover and toolchain changes.

We also care about accessibility and fairness. Spatial language can exclude readers when it is imprecise or when it assumes perfect vision. Clear inspection steps improve captions and reduce misleading certainty. Our mission is therefore not only about automation, but about raising the standard for how teams talk about what they show.

What we build

Our flagship experience, Vision Prompts: Image Logic Planner, drafts Python and JavaScript oriented logic for Gemini spatial reasoning tasks such as detecting objects, zooming to inspect details, and verifying relationships between regions. It is designed for quick experimentation and for communication between non technical and technical stakeholders.

We build for teams that need repeatability. That means consistent stage names, explicit variables, and prompts that separate evidence from conclusions. If you publish tutorials, run QA on UI screenshots, or document hardware, the planner gives you a shared scaffold that keeps everyone aligned.

Our values

Privacy

We design experiences that minimize unnecessary data collection and encourage local drafting where possible. We want teams to understand what flows to models, what stays on device, and what should never be uploaded. Privacy is a practice, not a slogan, so we are transparent about limits and risks.

Speed

Speed matters when launches have deadlines. We optimize for fast alignment by reducing repetitive typing and by making outputs easy to paste into real projects. Speed without structure creates debt, so our version of speed always includes clear stages you can audit.

Quality

Quality means fewer silent errors. We emphasize zooming, comparative checks, and uncertainty handling because those elements separate professional workflows from casual chat. Quality also means respectful language toward users who rely on assistive technology, which is why we tie visual claims to explainable steps.

Accessibility

Accessibility is a product requirement, not an afterthought. We strive for readable contrast, large touch targets, and clear headings so more people can use our tools without friction. We also promote captioning discipline because accessibility and SEO both benefit when images are described with care.

Our commitment to free tools

We maintain free tools because democratizing structured prompting improves the entire ecosystem. Free access lowers the barrier for students, small teams, and independent creators who still deserve professional grade method. We fund this work through ethical advertising partnerships and optional premium offerings where they do not compromise the clarity of the free experience.

We promise that free tools will remain useful without dark patterns. If a feature is core to drafting spatial reasoning plans, it should be available without a maze of upsells. When we experiment with new capabilities, we aim to label limitations honestly and document them in plain language.

Contact and feedback

We improve Vision Prompts through community feedback. If you discover a confusing phrase, an accessibility barrier, or a pattern that should be included in generated logic, we want to hear from you. Reach us at haithemhamtinee@gmail.com. We read messages as time permits and prioritize fixes that help the widest range of users.

Thank you for treating visual communication seriously. When teams raise their standards, readers benefit, customers benefit, and the web becomes a more trustworthy place to learn.

Contact Vision Prompts

We welcome questions about Vision Prompts: Image Logic Planner, partnership ideas, accessibility improvements, and thoughtful bug reports. Use the email below so your message reaches the right inbox.

Support email

haithemhamtinee@gmail.com

We typically respond within 24–48 hours.

What to include in your message

A clear subject line helps us triage quickly. Describe the issue or idea in a short paragraph, including what you expected and what happened. If your note involves the planner output, include the options you selected and a sanitized example of your goal text. When visuals help, attach a screenshot with sensitive information removed.

Business inquiries versus support requests

Support requests cover troubleshooting, accessibility barriers, and confusion about generated logic. Business inquiries cover sponsorships, collaborations, and licensing questions. You can use the same email for both; just label the subject accordingly so we can route efficiently.

Privacy when you contact us

Please do not send passwords, secrets, or personal data you do not want stored in an inbox. We use email providers with standard protections, but you should assume email is not a high security channel. If you need to share sensitive materials, ask for an alternative workflow in your first message and we will respond with practical options.

Privacy Policy

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Introduction and who we are

This Privacy Policy explains how Vision Prompts collects, uses, stores, and protects information when you use our website and the Vision Prompts: Image Logic Planner experience. Vision Prompts is operated as an independent publisher focused on helpful, transparent tools for drafting structured prompts and code patterns related to multimodal reasoning. We want you to understand both the benefits and the limits of browser based tools, especially when your workflow may later connect to third party AI services under separate terms.

By using the site, you acknowledge that you have read this policy. If you do not agree, please discontinue use. We may update this document to reflect changes in law, technology, or our services. Material changes will be reflected in the updated date shown at the top of this page, and we encourage you to review the policy periodically.

If you have questions about privacy practices, contact us at haithemhamtinee@gmail.com. We aim to respond thoughtfully, though we cannot provide legal advice.

What data we collect

We may collect several categories of information depending on how you interact with the site. First, you may voluntarily provide content when you use the planner interface, such as descriptions of image tasks you want to structure. That text may be processed locally in your browser to generate example code and prompt templates. We do not operate a mandatory account system on this page, which limits the categories of personal data we need to collect for basic access.

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We do not control third party data processing beyond our contractual and technical choices, and we select providers with attention to mainstream security practices. Nonetheless, no online service can guarantee perfect security.

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If the GDPR applies to our processing of your personal data, you may have rights including access, rectification, erasure, restriction, objection, and data portability, subject to legal exceptions. You may also withdraw consent where processing is based on consent, without affecting the lawfulness of processing before withdrawal.

To exercise rights, contact us at haithemhamtinee@gmail.com. We may need to verify your request and may be unable to fulfill requests that are excessive, repetitive, or conflict with legal obligations. You may also lodge a complaint with a supervisory authority in your country or region.

International transfers may occur when providers process data outside your country. Where required, we rely on appropriate safeguards such as standard contractual clauses or other mechanisms recognized by regulators.

Data retention

We retain information only as long as necessary for the purposes described in this policy, unless a longer period is required by law. Server logs and analytics may be retained for limited periods for security and reporting. Email correspondence may be retained to document support history unless deletion is requested and feasible.

Local browser processing may leave data on your device until you clear it. We recommend periodic clearing if you share a device or work with sensitive drafts.

Children’s privacy

Vision Prompts is not directed to children under thirteen, and we do not knowingly collect personal information from children under thirteen. If you believe a child has provided personal information, contact us and we will take reasonable steps to delete it where required by law.

Parents and guardians should supervise minors’ online activity and teach cautious sharing, especially around screenshots that may contain private information.

Changes to this policy

We may revise this Privacy Policy to reflect new features, legal requirements, or clarifications. Updates will be posted on this page with a revised last updated date. Continued use after changes constitutes acceptance of the updated policy, except where consent is required for new processing activities.

Contact us

Privacy questions and requests may be sent to haithemhamtinee@gmail.com. Please include enough detail for us to understand your request while minimizing sensitive attachments.

Terms of Service

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Acceptance of terms

These Terms of Service govern your access to and use of the Vision Prompts website and related tools, including Vision Prompts: Image Logic Planner. By accessing or using the service, you agree to these terms. If you do not agree, do not use the service. If you use the service on behalf of an organization, you represent that you have authority to bind that organization.

We may modify these terms from time to time. The updated terms will be posted on this page with a revised last updated date. Your continued use after changes become effective constitutes acceptance, except where applicable law requires additional notice or consent.

Description of service

Vision Prompts provides educational drafting assistance that generates example logic and prompt templates intended to help users structure spatial reasoning workflows for multimodal models such as Gemini. The service is provided for general information and productivity purposes. Output may require adaptation, testing, and compliance review before use in production environments.

We may change, suspend, or discontinue features with or without notice. We do not guarantee uninterrupted availability, and maintenance or third party outages may affect access.

Permitted use and restrictions

You agree to use the service only for lawful purposes and in accordance with these terms. You must not attempt to disrupt the site, scrape it in a manner that degrades performance, circumvent security, probe for vulnerabilities without authorization, or misuse generated content to harass, defraud, or infringe rights.

You are responsible for your inputs and for ensuring that your use complies with applicable laws, including privacy, intellectual property, and export controls where relevant. You must not upload or describe illegal content or content that violates third party rights.

We may suspend or terminate access if we reasonably believe you violated these terms or pose a risk to the service or other users.

Intellectual property

The site design, branding, text, and original materials are owned by Vision Prompts or its licensors and are protected by intellectual property laws. Subject to these terms, we grant you a limited, non exclusive, non transferable license to access the site for personal or internal business use.

Generated output is provided to assist your work, but you are responsible for ensuring your use does not infringe third party rights and complies with licenses for any libraries, models, or datasets you employ. We do not claim ownership of your inputs.

Disclaimers and no warranties

The service is provided on an as is and as available basis. To the fullest extent permitted by law, Vision Prompts disclaims all warranties, express or implied, including merchantability, fitness for a particular purpose, and non infringement. We do not warrant that outputs will be accurate, complete, or suitable for any specific application.

Multimodal models can err. You should independently verify any conclusions that affect safety, finance, health, or legal obligations. Generated code may require security review before deployment.

Limitation of liability

To the fullest extent permitted by law, Vision Prompts and its operators will not be liable for any indirect, incidental, special, consequential, or punitive damages, or for loss of profits, data, goodwill, or business interruption, arising from your use of the service, even if advised of the possibility.

To the extent permitted by law, our aggregate liability for any claim arising from the service will not exceed the greater of the amount you paid us for the service in the twelve months preceding the claim or fifty dollars, if you paid nothing.

Some jurisdictions do not allow certain limitations; in those jurisdictions, our liability is limited to the maximum permitted by law.

Cookie notice and GDPR compliance

We use cookies and similar technologies as described in our Privacy Policy and Cookies Policy. Where required, we seek appropriate consent for non essential cookies. GDPR related rights are described in our Privacy Policy, including how to contact us regarding data subject requests.

Advertising and analytics partners may process personal data under their own legal bases. You can manage certain choices through browser settings and industry opt out tools, where available.

Links to third party sites

The service may link to third party websites or resources. We are not responsible for their content, policies, or practices. A link does not imply endorsement. You access third party sites at your own risk.

Modifications to the service

We may modify, enhance, or discontinue features to improve security, performance, or clarity. We may also impose limits on usage to protect infrastructure. We will attempt to avoid unnecessary disruption, but we cannot guarantee compatibility with every workflow or integration.

Governing law

These terms are governed by applicable laws without regard to conflict of law principles, except where consumer protection laws require otherwise. Courts in some locations may have exclusive jurisdiction over disputes; where mandatory rules apply, those rules prevail.

Contact

Questions about these terms may be directed to haithemhamtinee@gmail.com.

Cookies Policy

Last updated:

What are cookies

Cookies are small files placed on your device when you visit a website. They can store identifiers, preferences, and signals that help a site function, remember choices, measure performance, or support advertising. Similar technologies include pixels, local storage, session storage, and scripts that read or write data on your device.

This policy explains how Vision Prompts uses cookies in connection with our website and planner experience, and how you can control them.

How we use cookies

We use cookies to deliver core functionality, maintain reliability, understand aggregated usage, and where applicable support advertising that helps fund free tools. Some cookies are set directly by Vision Prompts, while others are set by partners such as Google when analytics or ads are enabled.

Cookies may be session cookies, which expire when you close your browser, or persistent cookies, which remain for a defined period unless deleted. The duration depends on the cookie’s purpose and provider defaults.

We aim to minimize data collection to what is useful for operating and improving the service, consistent with applicable law and your choices.

Types of cookies we use

The following table summarizes representative cookies and categories you may encounter. Exact names may vary by implementation updates, but the categories reflect our intent.

Cookie name Type Purpose Duration
vp_essentialEssentialStores basic session or preference signals required for navigation and security features.Session to twelve months
cookie_consentEssentialRemembers cookie choices where a consent banner is implemented.Up to twelve months
_gaAnalytics (Google Analytics)Distinguishes users and supports aggregated reporting on site usage.Up to two years per Google defaults
_gidAnalytics (Google Analytics)Stores a short lived identifier for session grouping in analytics reports.Typically twenty four hours
_gatAnalytics (Google Analytics)Throttles request rates to analytics endpoints.Minutes
IDEAdvertising (Google AdSense)Supports ad delivery, frequency management, and measurement through Google’s advertising stack.Up to thirteen months typical range
test_cookieAdvertising (Google AdSense)Checks browser cookie support for ad serving.Short session

Names and durations may change as providers update implementations. Refer to Google’s documentation for the most current descriptions of Analytics and AdSense cookies.

Third party cookies

Third parties such as Google may set cookies when you load pages that include analytics scripts, advertising tags, or embedded content. Those third parties process data under their own policies. Vision Prompts does not control all third party data practices, though we aim to configure tags responsibly and respect consent requirements where they apply.

Fonts or libraries loaded from content delivery networks may also involve network requests that providers can log according to their policies.

How to control cookies

Google Chrome

Open Settings, choose Privacy and security, then Cookies and other site data. You can block third party cookies, clear browsing data, or manage exceptions per site. Chrome also provides features for blocking cross site tracking depending on version.

Mozilla Firefox

Open Settings, select Privacy and Security, then choose your preferred cookie policy such as standard or strict blocking. You can clear cookies and site data from the same area and manage exceptions.

Apple Safari

Open Preferences, select Privacy, then manage cookies and website data. Safari includes intelligent tracking prevention features that limit cross site tracking over time.

Microsoft Edge

Open Settings, select Cookies and site permissions, then manage cookies and stored data. Edge allows blocking third party cookies and clearing data on exit if configured.

Cookie consent

Where required by law, we present choices before enabling non essential cookies such as analytics and advertising. Essential cookies may still be needed for basic operation. If you withdraw consent, some features may behave differently and measurement may be less complete.

Industry tools may offer additional opt outs for interest based advertising, but they may not cover all companies or all devices.

International users and regional requirements

Cookie rules differ by jurisdiction. In the European Economic Area, the United Kingdom, and several other regions, consent requirements for non essential cookies are especially strict. Vision Prompts aims to describe practices clearly so you can make informed choices. If you access the site from multiple countries while traveling, your experience may reflect the controls available in your current region and browser.

We do not use cookies to override your device settings, but we cannot prevent your operating system or browser from applying its own protections. Some browsers now block third party cookies by default, which can change how analytics and advertising behave. Those changes are part of a broader industry shift toward privacy preserving measurement.

If you are responsible for compliance in your organization, treat this policy as a starting point and consult qualified counsel for your specific obligations. We provide practical descriptions, not legal advice.

How we update cookie practices

We may update tagging configurations when we add features, change providers, or respond to regulatory guidance. When updates materially change how cookies are used, we revise this Cookies Policy and adjust the last updated date. For major changes, we may also post a short notice on the site if that helps users discover the update quickly.

Because third party scripts can evolve independently, we periodically review integrations to confirm they still match our documentation. If you notice a cookie name that is not listed here, contact us so we can investigate and improve transparency.

Operational safeguards and data minimization

We configure analytics to emphasize aggregated reporting rather than individual tracking where feasible. Advertising tags are included only when they support sustainable operation of free tools. We avoid collecting sensitive categories of data through cookies on this site and instruct partners to use industry standard protections.

Minimization also means not storing redundant identifiers when a simpler approach achieves the same goal. If a feature can work without a persistent cookie, we prefer that design. When persistence is necessary, we aim to limit duration to what the purpose requires.

Contact

Questions about this Cookies Policy may be sent to haithemhamtinee@gmail.com.