Industry

N/A

Date

August 7, 2025

Length

3 min read

Exploring GPT-5

Generating a Website with a Single Prompt

Catagories:

AI Agents, AI Research

Author

Ian van Eenennaam

Introduction

We’ve started testing the capabilities of the newly released GPT-5 API in the OpenAI Playground — and the results are nothing short of impressive. In our early experiments, we focused on a simple but powerful test: can GPT-5 generate a complete single-page website from a minimal prompt?

key takeaways

01 GPT-5 can generate complete websites

GPT-5 can generate complete websites from minimal prompts, showcasing powerful language-to-code capabilities.

02 New possibilities

The API opens powerfull new possibilities for business and consumer apps, from no-code tools to developer accelerators.

03 Promising results

Initial results are promising, and we’re excited to continue exploring its full potential.

The Test

We provided GPT-5 with a very basic instruction — just a sentence describing the kind of website we wanted. Without any additional guidance, the model generated fully functional HTML, CSS, and JavaScript for a clean, responsive single-page site.

Here’s the result GPT-5 returned:

System Prompt

You are an expert front-end developer specializing in creating high-quality HTML5 user interfaces for websites, with an emphasis on modern, minimalistic design styles.

When given a description of a website or UI component to implement, analyze the requirements, consider best practices for usability, accessibility, and modern web development, and generate clean, maintainable HTML5 markup.

- Ensure your designs are visually minimal, elegant, and functional.
- Use HTML5 semantic elements and class names that would be easily stylable with CSS.
- Do not include CSS or JavaScript unless specifically requested—focus only on the HTML structure.
- Justify your design decisions with a short explanation before presenting the HTML markup.
- Consider accessibility, responsiveness, and clear separation of concerns in your solutions.

# Steps

1. Analyze the provided website or component description and identify key features and requirements.
2. Explain your design reasoning and any important considerations or assumptions.
3. Produce clean, semantic HTML5 code that aligns with modern, minimalistic design practices, including CSS.
4. Ensure your solution is concise and can be easily extended or styled by other developers.

# Output Format

First, provide a brief paragraph explaining your design reasoning. Then, present the final HTML5 code block (no JS) using markdown triple backticks and tag as “html”.

# Example

**Input:**
Create a contact form section for a freelance portfolio website. The form should be simple and collect the user's name, email, and message.

**Output:**

My design features a minimal and accessible form using semantic HTML5 elements. Each input is clearly labeled to assist all users, and the structure is easy to style with CSS for responsiveness.

```html

<section class="contact">
  <h2>Contact Me</h2>
  <form>
    <label for="name">Name</label>
    <input type="text" id="name" name="name" required>
    
    <label for="email">Email</label>
    <input type="email" id="email" name="email" required>
    
    <label for="message">Message</label>
    <textarea id="message" name="message" rows="5" required></textarea>
    
    <button type="submit">Send</button>
  </form>
</section>


```

# Notes

- Produce HTML and CSS.
- Always start your response with your reasoning before giving code.
- Ensure accessibility by using proper labels, semantic tags, and an easy-to-navigate structure.
- Maintain a minimal and modern look in your markup.

**Reminder:** When developing high-quality HTML5 UIs in a modern, minimalistic style, always first explain your reasoning, then present clean, semantic HTML only.

User Prompt

Generate a single page website for Generative Ai Application Development services.

Showcase: Rendered Output

Generative AI Application Development

Production-ready RAG & Agents Governance-first Cloud-native

Generative AI Application Development

We design, build, and ship reliable GenAI products—from grounded chat and copilots to workflow agents and retrieval-augmented systems—securely integrated with your data and stack.

Request a consultation See case studies

-40% handling time

+18% CSAT

Weeks to MVP

What we do

Services & Capabilities

Start a project

Product Strategy

Discovery sprints, opportunity mapping, feasibility, and risk analysis tailored to your domain and data.

Use-case prioritization
ROI modeling
Compliance review

RAG & Knowledge Grounding

Retrieval pipelines that cite sources, manage drift, and keep responses faithful.

Ingestion & chunking strategies
Vector and hybrid search
Guardrails and citation

Agents & Copilots

Task-oriented agents that plan, call tools, and execute safely with human-in-the-loop controls.

Function/tool calling
Workflow orchestration
Evaluation harnesses

App Design & UX

Minimal interfaces, progressive disclosure, and robust prompt/response affordances.

Conversation design
Prompt UX patterns
Accessibility-first UI

MLOps & Observability

Continuous evaluation, prompt/version tracking, and cost-performance monitoring.

Offline/online evals
Telemetry & tracing
Drift alerts

Security & Governance

Enterprise-grade controls: PII, role-based access, red-teaming, and policy enforcement.

Data minimization
PII handling
Auditability

How we work

Pragmatic delivery, measurable outcomes

Discover

Workshops and rapid research to align on problems, constraints, success metrics, and data realities.

Design

Interaction flows, grounding strategies, and architecture docs with evaluation plans.

Build

Implement pipelines, agents, and UI with robust testing, tracing, and observability.

Evaluate

Automated and human evals for quality, latency, safety, and cost—before rollout.

Deploy

CI/CD, environment hardening, and blue/green strategies for safe launches.

Scale

Cost optimization, fine-tuning loops, and ongoing dataset curation for durability.

Selected work

Case Studies

Impact snapshots

Support Copilot

RAG-backed assistant for a SaaS provider, grounded in tickets and knowledge base.

-40% AHT · +18% CSAT

Stack: RAG, hybrid search, eval harness

Policy-Aware Drafting

Document assistant that cites policy, flags risks, and standardizes tone for compliance teams.

3x drafting speed

Stack: Tool calling, guardrails, tracing

Procurement Agent

Multi-step agent that extracts requirements, compares vendors, and prepares approvals.

-28% cycle time

Stack: Agents, planning, approvals

Tooling

Tech Stack & Integrations

Models

OpenAI, Anthropic, Google, Cohere
Open-source: Llama, Mistral
Embeddings & rerankers

Retrieval

Pinecone, Weaviate, pgvector
Hybrid + metadata filtering
Ingestion pipelines

Orchestration

LangChain, LlamaIndex
Function/tool calling
Workflow engines

Cloud & Data

AWS, Azure, GCP
Databricks, Snowflake
Kubernetes, serverless

Observability

Evals (offline/online)
Tracing & cost telemetry
Guardrails & red teaming

Security

SSO/SAML, RBAC
PII handling & masking
Audit logs

Engagements

Simple, outcome-focused pricing

FAQs

Discovery Sprint

2–3 weeks to align on use cases, architecture, and success metrics with a testable plan.

Fixed scope

Workshops & prototyping
Architecture + roadmap
Evaluation plan

MVP Build

4–8 weeks to launch a production-ready MVP with observability and governance.

Time-boxed

RAG/agent implementation
UI and integration
Launch support

Embedded Team

Ongoing delivery with shared KPIs, roadmap ownership, and continuous improvement.

Monthly retainer

Backlog + releases
Cost/latency optimization
Governance & audits

Questions

Frequently Asked Questions

How do you ensure factual accuracy?

We ground responses with retrieval, constrain generations with schemas and tools, and run evals for faithfulness and coverage. We also expose citations and uncertainty to end users.

What about data security and compliance?

We follow least-privilege access, data minimization, PII masking, and audit-ready logging. Deployments respect your compliance posture and cloud preferences.

How do you measure success?

Joint KPIs such as task success, latency, cost per task, and user satisfaction, backed by offline/online evaluation suites and observability dashboards.

Let’s talk

Request a consultation

Response within 1 business day

Full name

Work email

Company

Role

Budget

Timeline

Project goals

I agree to be contacted about my inquiry.

We only use your information to respond to this request. No spam. No sharing.

Showcase: Source / Plain Text

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<li><a href="#work">Case Studies</a></li>\n          <li><a href="#stack">Tech</a></li>\n          <li><a href="#pricing">Pricing</a></li>\n          <li><a href="#faq">FAQ</a></li>\n          <li><a href="#contact" class="btn ghost">Contact</a></li>\n        </ul>\n      </nav>\n    </div>\n  </header>\n\n  <main id="main">\n    <section id="overview" class="hero">\n      <div class="container">\n        <div class="stack">\n          <div class="pill-list" aria-label="Highlights">\n            <span class="pill">Production-ready</span>\n            <span class="pill">RAG & Agents</span>\n            <span class="pill">Governance-first</span>\n            <span class="pill">Cloud-native</span>\n          </div>\n          <h1>Generative AI Application Development</h1>\n          <p class="lead">We design, build, and ship reliable GenAI products—from grounded chat and copilots to workflow agents and retrieval-augmented systems—securely integrated with your data and stack.</p>\n          <div class="hero-cta">\n            <a class="btn primary" href="#contact">Request a consultation</a>\n            <a class="btn ghost" href="#work">See case studies</a>\n          </div>\n          <div class="inline-kpis" role="list" aria-label="Key proof points">\n            <div class="kpi" role="listitem">-40% handling time</div>\n            <div class="kpi" role="listitem">+18% CSAT</div>\n            <div class="kpi" role="listitem">Weeks to MVP</div>\n          </div>\n        </div>\n      </div>\n    </section>\n\n    <section id="services" aria-labelledby="services-title">\n      <div class="container">\n        <div class="section-head">\n          <div>\n            <span class="eyebrow">What we do</span>\n            <h2 id="services-title">Services & Capabilities</h2>\n          </div>\n          <a class="btn ghost" href="#contact">Start a project</a>\n        </div>\n        <div class="grid cols-3">\n          <article class="card">\n            <h3>Product Strategy</h3>\n            <p>Discovery sprints, opportunity mapping, feasibility, and risk analysis tailored to your domain and data.</p>\n            <ul class="list">\n              <li>Use-case prioritization</li>\n              <li>ROI modeling</li>\n              <li>Compliance review</li>\n            </ul>\n          </article>\n          <article class="card">\n            <h3>RAG & Knowledge Grounding</h3>\n            <p>Retrieval pipelines that cite sources, manage drift, and keep responses faithful.</p>\n            <ul class="list">\n              <li>Ingestion & chunking strategies</li>\n              <li>Vector and hybrid search</li>\n              <li>Guardrails and citation</li>\n            </ul>\n          </article>\n          <article class="card">\n            <h3>Agents & Copilots</h3>\n            <p>Task-oriented agents that plan, call tools, and execute safely with human-in-the-loop controls.</p>\n            <ul class="list">\n              <li>Function/tool calling</li>\n              <li>Workflow orchestration</li>\n              <li>Evaluation harnesses</li>\n            </ul>\n          </article>\n          <article class="card">\n            <h3>App Design & UX</h3>\n            <p>Minimal interfaces, progressive disclosure, and robust prompt/response affordances.</p>\n            <ul class="list">\n              <li>Conversation design</li>\n              <li>Prompt UX patterns</li>\n              <li>Accessibility-first UI</li>\n            </ul>\n          </article>\n          <article class="card">\n            <h3>MLOps & Observability</h3>\n            <p>Continuous evaluation, prompt/version tracking, and cost-performance monitoring.</p>\n            <ul class="list">\n              <li>Offline/online evals</li>\n              <li>Telemetry & tracing</li>\n              <li>Drift alerts</li>\n            </ul>\n          </article>\n          <article class="card">\n            <h3>Security & Governance</h3>\n            <p>Enterprise-grade controls: PII, role-based access, red-teaming, and policy enforcement.</p>\n            <ul class="list">\n              <li>Data minimization</li>\n              <li>PII handling</li>\n              <li>Auditability</li>\n            </ul>\n          </article>\n        </div>\n      </div>\n    </section>\n\n    <section id="process" aria-labelledby="process-title">\n      <div class="container">\n        <div class="section-head">\n          <div>\n            <span class="eyebrow">How we work</span>\n            <h2 id="process-title">Pragmatic delivery, measurable outcomes</h2>\n          </div>\n        </div>\n        <div class="grid cols-3 process">\n          <div class="card step">\n            <h3>Discover</h3>\n            <p>Workshops and rapid research to align on problems, constraints, success metrics, and data realities.</p>\n          </div>\n          <div class="card step">\n            <h3>Design</h3>\n            <p>Interaction flows, grounding strategies, and architecture docs with evaluation plans.</p>\n          </div>\n          <div class="card step">\n            <h3>Build</h3>\n            <p>Implement pipelines, agents, and UI with robust testing, tracing, and observability.</p>\n          </div>\n          <div class="card step">\n            <h3>Evaluate</h3>\n            <p>Automated and human evals for quality, latency, safety, and cost—before rollout.</p>\n          </div>\n          <div class="card step">\n            <h3>Deploy</h3>\n            <p>CI/CD, environment hardening, and blue/green strategies for safe launches.</p>\n          </div>\n          <div class="card step">\n            <h3>Scale</h3>\n            <p>Cost optimization, fine-tuning loops, and ongoing dataset curation for durability.</p>\n          </div>\n        </div>\n      </div>\n    </section>\n\n    <section id="work" aria-labelledby="work-title">\n      <div class="container">\n        <div class="section-head">\n          <div>\n            <span class="eyebrow">Selected work</span>\n            <h2 id="work-title">Case Studies</h2>\n          </div>\n          <span class="badge">Impact snapshots</span>\n        </div>\n        <div class="grid cols-3">\n          <article class="card">\n            <h3>Support Copilot</h3>\n            <p>RAG-backed assistant for a SaaS provider, grounded in tickets and knowledge base.</p>\n            <p class="kpi">-40% AHT · +18% CSAT</p>\n            <p class="muted">Stack: RAG, hybrid search, eval harness</p>\n          </article>\n          <article class="card">\n            <h3>Policy-Aware Drafting</h3>\n            <p>Document assistant that cites policy, flags risks, and standardizes tone for compliance teams.</p>\n            <p class="kpi">3x drafting speed</p>\n            <p class="muted">Stack: Tool calling, guardrails, tracing</p>\n          </article>\n          <article class="card">\n            <h3>Procurement Agent</h3>\n            <p>Multi-step agent that extracts requirements, compares vendors, and prepares approvals.</p>\n            <p class="kpi">-28% cycle time</p>\n            <p class="muted">Stack: Agents, planning, approvals</p>\n          </article>\n        </div>\n      </div>\n    </section>\n\n    <section id="stack" aria-labelledby="stack-title">\n      <div class="container">\n        <div class="section-head">\n          <div>\n            <span class="eyebrow">Tooling</span>\n            <h2 id="stack-title">Tech Stack & Integrations</h2>\n          </div>\n        </div>\n        <div class="grid cols-3">\n          <div class="card">\n            <h3>Models</h3>\n            <ul class="list">\n              <li>OpenAI, Anthropic, Google, Cohere</li>\n              <li>Open-source: Llama, Mistral</li>\n              <li>Embeddings & rerankers</li>\n            </ul>\n          </div>\n          <div class="card">\n            <h3>Retrieval</h3>\n            <ul class="list">\n              <li>Pinecone, Weaviate, pgvector</li>\n              <li>Hybrid + metadata filtering</li>\n              <li>Ingestion pipelines</li>\n            </ul>\n          </div>\n          <div class="card">\n            <h3>Orchestration</h3>\n            <ul class="list">\n              <li>LangChain, LlamaIndex</li>\n              <li>Function/tool calling</li>\n              <li>Workflow engines</li>\n            </ul>\n          </div>\n          <div class="card">\n            <h3>Cloud & Data</h3>\n            <ul class="list">\n              <li>AWS, Azure, GCP</li>\n              <li>Databricks, Snowflake</li>\n              <li>Kubernetes, serverless</li>\n            </ul>\n          </div>\n          <div class="card">\n            <h3>Observability</h3>\n            <ul class="list">\n              <li>Evals (offline/online)</li>\n              <li>Tracing & cost telemetry</li>\n              <li>Guardrails & red teaming</li>\n            </ul>\n          </div>\n          <div class="card">\n            <h3>Security</h3>\n            <ul class="list">\n              <li>SSO/SAML, RBAC</li>\n              <li>PII handling & masking</li>\n              <li>Audit logs</li>\n            </ul>\n          </div>\n        </div>\n      </div>\n    </section>\n\n    <section id="pricing" aria-labelledby="pricing-title">\n      <div class="container">\n        <div class="section-head">\n          <div>\n            <span class="eyebrow">Engagements</span>\n            <h2 id="pricing-title">Simple, outcome-focused pricing</h2>\n          </div>\n          <a class="btn ghost" href="#faq">FAQs</a>\n        </div>\n        <div class="grid cols-3">\n          <article class="card">\n            <h3>Discovery Sprint</h3>\n            <p>2–3 weeks to align on use cases, architecture, and success metrics with a testable plan.</p>\n            <p class="kpi">Fixed scope</p>\n            <ul class="list">\n              <li>Workshops & prototyping</li>\n              <li>Architecture + roadmap</li>\n              <li>Evaluation plan</li>\n            </ul>\n          </article>\n          <article class="card">\n            <h3>MVP Build</h3>\n            <p>4–8 weeks to launch a production-ready MVP with observability and governance.</p>\n            <p class="kpi">Time-boxed</p>\n            <ul class="list">\n              <li>RAG/agent implementation</li>\n              <li>UI and integration</li>\n              <li>Launch support</li>\n            </ul>\n          </article>\n          <article class="card">\n            <h3>Embedded Team</h3>\n            <p>Ongoing delivery with shared KPIs, roadmap ownership, and continuous improvement.</p>\n            <p class="kpi">Monthly retainer</p>\n            <ul class="list">\n              <li>Backlog + releases</li>\n              <li>Cost/latency optimization</li>\n              <li>Governance & audits</li>\n            </ul>\n          </article>\n        </div>\n      </div>\n    </section>\n\n    <section id="faq" aria-labelledby="faq-title" class="faq">\n      <div class="container">\n        <div class="section-head">\n          <div>\n            <span class="eyebrow">Questions</span>\n            <h2 id="faq-title">Frequently Asked Questions</h2>\n          </div>\n        </div>\n        <details>\n          <summary>How do you ensure factual accuracy?</summary>\n          <div class="stack">\n            <p>We ground responses with retrieval, constrain generations with schemas and tools, and run evals for faithfulness and coverage. We also expose citations and uncertainty to end users.</p>\n          </div>\n        </details>\n        <details>\n          <summary>What about data security and compliance?</summary>\n          <div class="stack">\n            <p>We follow least-privilege access, data minimization, PII masking, and audit-ready logging. Deployments respect your compliance posture and cloud preferences.</p>\n          </div>\n        </details>\n        <details>\n          <summary>How do you measure success?</summary>\n          <div class="stack">\n            <p>Joint KPIs such as task success, latency, cost per task, and user satisfaction, backed by offline/online evaluation suites and observability dashboards.</p>\n          </div>\n        </details>\n      </div>\n    </section>\n\n    <section id="contact" aria-labelledby="contact-title">\n      <div class="container">\n        <div class="section-head">\n          <div>\n            <span class="eyebrow">Let’s talk</span>\n            <h2 id="contact-title">Request a consultation</h2>\n          </div>\n          <span class="badge">Response within 1 business day</span>\n        </div>\n        <form action="#" method="post" class="card" aria-describedby="privacy-note">\n          <div class="row">\n            <div>\n              <label for="name">Full name</label>\n              <input id="name" name="name" type="text" autocomplete="name" required>\n            </div>\n            <div>\n              <label for="email">Work email</label>\n              <input id="email" name="email" type="email" autocomplete="email" required>\n            </div>\n            <div>\n              <label for="company">Company</label>\n              <input id="company" name="company" type="text" autocomplete="organization">\n            </div>\n            <div>\n              <label for="role">Role</label>\n              <input id="role" name="role" type="text" autocomplete="organization-title">\n            </div>\n          </div>\n          <div class="row">\n            <div>\n              <label for="budget">Budget</label>\n              <select id="budget" name="budget" required>\n                <option value="" selected disabled>Select a range</option>\n                <option value="discovery">Under $25k</option>\n                <option value="mvp">$25k–$100k</option>\n                <option value="scale">$100k+</option>\n              </select>\n            </div>\n            <div>\n              <label for="timeline">Timeline</label>\n              <select id="timeline" name="timeline" required>\n                <option value="" selected disabled>Select a timeline</option>\n                <option value="asap">ASAP (0–4 weeks)</option>\n                <option value="soon">Soon (1–3 months)</option>\n                <option value="later">Later (3+ months)</option>\n              </select>\n            </div>\n          </div>\n          <div class="stack">\n            <div>\n              <label for="goals">Project goals</label>\n              <textarea id="goals" name="goals" rows="5" required placeholder="Tell us about your use case, users, and success metrics."></textarea>\n            </div>\n            <div>\n              <input id="consent" name="consent" type="checkbox" required>\n              <label for="consent">I agree to be contacted about my inquiry.</label>\n            </div>\n            <div class="helper" id="privacy-note">We only use your information to respond to this request. No spam. No sharing.</div>\n            <div>\n              <button type="submit" class="btn primary">Send request</button>\n            </div>\n          </div>\n        </form>\n      </div>\n    </section>\n  </main>\n\n  <footer class="footer">\n    <div class="container grid cols-3">\n      <div>\n        <div class="brand" aria-label="Brand">\n          <span class="brand-mark" aria-hidden="true">AI</span>\n          <strong>GenaForge</strong>\n        </div>\n        <p class="muted">Designing and shipping reliable Generative AI applications for ambitious teams.</p>\n      </div>\n      <div>\n        <h3>Contact</h3>\n        <p><a href="mailto:hello@genaforge.example">hello@genaforge.example</a></p>\n        <p><a href="#contact">Book a consultation</a></p>\n      </div>\n      <div>\n        <h3>Links</h3>\n        <p><a href="#services">Services</a> · <a href="#work">Case Studies</a> · <a href="#faq">FAQ</a></p>\n        <p><a href="#overview">Back to top</a></p>\n      </div>\n    </div>\n  </footer>\n</body>\n</html>'

The model handled layout, styling, and even some interactivity, all in one go. This level of responsiveness and contextual understanding from such a short prompt demonstrates a significant leap in generative capabilities.

Why This Matters

The implications of this are huge. With the GPT-5 API, businesses and developers can now integrate powerful natural language-to-code capabilities directly into their products. This opens the door for applications that allow users — even non-technical ones — to generate websites, interfaces, or components using simple instructions.

From rapid prototyping in development teams to no-code website builders for end-users, GPT-5 has the potential to streamline workflows, lower technical barriers, and accelerate creativity.

GPT-5 API Variants

The GPT-5 API is available in three versions, each optimized for different needs:

GPT-5 – The most capable model, ideal for complex coding and agentic tasks across domains.
GPT-5 Mini – A faster, more cost-efficient option for well-defined and structured tasks.
GPT-5 Nano – The fastest and most cost-effective variant, perfect for lightweight or high-volume use cases.
GPT-5 Chat – The version used in ChatGPT, optimized for conversational tasks and multi-turn dialogue.

These variants make it easier to choose the right balance of performance and cost, depending on the specific application. View the official documenation for more details.

What’s Next

This is just the beginning. We’ll continue exploring what GPT-5 can do, especially how its capabilities can be integrated into real-world business and consumer applications. So far, we’re incredibly excited by the initial results — and we can’t wait to see what else is possible.

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