Generative AI Development Services

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Then we build systems that work in production, not just demos.</p> </div> <div class='lca-callout'> <p class='lca-body'>Integrating generative AI into products requires more than an API call. Prompt engineering, output validation, cost management, fallback logic, and responsible use guardrails are all part of building systems that work reliably at scale.</p> </div> </div> </div> </div> </div> <div class='section_when-genai' style='background: var(--bg-light);'> <div class='padding-global padding-section-large'> <div class='container-large'> <div class='lca-bento'> <div class='lca-bento-heading'> <h2 class='lca-h2'>When we choose generative <strong>AI.</strong></h2> <p class='lca-body' style='margin-top:1rem'>The signals that indicate generative AI is the right capability, not just a feature checkbox.</p> </div> <div class='lca-grid-2'> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M16.862 4.487l1.687-1.688a1.875 1.875 0 112.652 2.652L10.582 16.07a4.5 4.5 0 01-1.897 1.13L6 18l.8-2.685a4.5 4.5 0 011.13-1.897l8.932-8.931zm0 0L19.5 7.125M18 14v4.75A2.25 2.25 0 0115.75 21H5.25A2.25 2.25 0 013 18.75V8.25A2.25 2.25 0 015.25 6H10'/></svg> </div> <h3 class='lca-h3'>Content creation is part of the product workflow</h3> <p class='lca-body'>Writing, designing, drafting, composing. If users create content in your product, generative AI can accelerate or augment that creation. The value is in how it integrates with the workflow.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M19.5 14.25v-2.625a3.375 3.375 0 00-3.375-3.375h-1.5A1.125 1.125 0 0113.5 7.125v-1.5a3.375 3.375 0 00-3.375-3.375H8.25m0 12.75h7.5m-7.5 3h12M3.375 5.25c-.621 0-1.125.504-1.125 1.125v3.026a2.999 2.999 0 010 5.198v3.026c0 .621.504 1.125 1.125 1.125h4.5c.621 0 1.125.504 1.125 1.125v3.026a2.999 2.999 0 010 5.198v3.026c0 .621-.504 1.125-1.125 1.125H3.375c-.621 0-1.125.504-1.125 1.125v-1.5A1.125 1.125 0 013.375 5.25z'/></svg> </div> <h3 class='lca-h3'>Document processing needs automation at scale</h3> <p class='lca-body'>Contracts, reports, forms, emails. High-volume document work is where generative AI delivers immediate ROI. Extraction, summarization, and classification transform backlogs into manageable workflows.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M15.75 6a3.75 3.75 0 11-7.5 0 3.75 3.75 0 017.5 0zM4.501 20.118a7.5 7.5 0 0114.998 0A17.933 17.933 0 0112 21.75c-2.676 0-5.216-.584-7.499-1.632z'/></svg> </div> <h3 class='lca-h3'>Personalization requires generated output</h3> <p class='lca-body'>Personalized messages, recommendations with explanations, adaptive content. When personalization means creating something unique for each user, not just selecting from existing options.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M3.75 3v11.25A2.25 2.25 0 006 16.5h2.25M3.75 3h-1.5m1.5 0h16.5m0 0h1.5m-1.5 0v11.25A2.25 2.25 0 0118 16.5h-2.25m-7.5 0h7.5m-7.5 0l-1 3m8.5-3l1 3m0 0l.5 1.5m-.5-1.5h-.975m0 0a2.25 2.25 0 01-2.165-1.61l-.5-1.5m0 0l-.5-1.5m.75 1.5h3.45m-3.45 0h-.975m0 0l-.5-1.5M9 9l-1.5 3m3-3l1.5 3'/></svg> </div> <h3 class='lca-h3'>Analysis and summarization are high-volume tasks</h3> <p class='lca-body'>Research synthesis, report generation, meeting summaries, data narrative. If your business produces or consumes large volumes of information, generative AI can compress and extract value.</p> </div> </div> </div> </div> </div> </div> <div class='section_what-genai'> <div class='padding-global padding-section-large'> <div class='container-large'> <h2 class='lca-h2' style='text-align:center;margin-bottom:0.5rem'>What we build with generative <strong>AI.</strong></h2> <p class='lca-body' style='text-align:center;max-width:600px;margin:0 auto 3rem'>From content tools to document processing and image generation — generative AI integrated into product workflows.</p> <div class='lca-grid-3'> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M16.862 4.487l1.687-1.688a1.875 1.875 0 112.652 2.652L10.582 16.07a4.5 4.5 0 01-1.897 1.13L6 18l.8-2.685a4.5 4.5 0 011.13-1.897l8.932-8.931zm0 0L19.5 7.125M18 14v4.75A2.25 2.25 0 0115.75 21H5.25A2.25 2.25 0 013 18.75V8.25A2.25 2.25 0 015.25 6H10'/></svg> </div> <h3 class='lca-h3'>LLM-Powered Content Tools</h3> <p class='lca-body'>Applications that help users write, edit, and create. Marketing copy generators, report writers, content assistants. Built with prompt engineering that produces consistent, brand-appropriate output.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M19.5 14.25v-2.625a3.375 3.375 0 00-3.375-3.375h-1.5A1.125 1.125 0 0113.5 7.125v-1.5a3.375 3.375 0 00-3.375-3.375H8.25m0 12.75h7.5m-7.5 3h12M3.375 5.25c-.621 0-1.125.504-1.125 1.125v3.026a2.999 2.999 0 010 5.198v3.026c0 .621.504 1.125 1.125 1.125h4.5c.621 0 1.125.504 1.125 1.125v3.026a2.999 2.999 0 010 5.198v3.026c0 .621-.504 1.125-1.125 1.125H3.375c-.621 0-1.125.504-1.125 1.125v-1.5A1.125 1.125 0 013.375 5.25z'/></svg> </div> <h3 class='lca-h3'>Document Processing & Extraction</h3> <p class='lca-body'>Automated extraction of structured data from unstructured documents. Contract analysis, invoice processing, application review, compliance documentation. LLMs that read and understand documents like a human.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M10.5 6h9.75M10.5 6a1.5 1.5 0 11-3 0m3 0a1.5 1.5 0 10-3 0M3.75 6H7.5m3 12h9.75m-9.75 0a1.5 1.5 0 01-3 0m3 0a1.5 1.5 0 00-3 0m-3.75 0H7.5m9-6h3.75m-3.75 0a1.5 1.5 0 01-3 0m3 0a1.5 1.5 0 00-3 0m-9.75 0h9.75'/></svg> </div> <h3 class='lca-h3'>AI Writing & Editing Assistants</h3> <p class='lca-body'>In-app writing assistance beyond spell check. Style matching, tone adjustment, clarity improvement, translation. Writing tools that understand context and intent, not just grammar.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M2.036 12.322a1.012 1.012 0 010-.639C3.423 7.51 7.36 4.5 12 4.5c4.638 0 8.573 3.007 9.963 7.178.07.207.07.431 0 .639C20.577 16.49 16.64 19.5 12 19.5c-4.638 0-8.573-3.007-9.963-7.178z'/><path stroke-linecap='round' stroke-linejoin='round' d='M15 12a3 3 0 11-6 0 3 3 0 016 0z'/></svg> </div> <h3 class='lca-h3'>AI Image Generation Integrations</h3> <p class='lca-body'>Image generation built into product workflows. Not standalone generation, but visual creation integrated with user tasks — design tools, marketing platforms, content systems.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M13.19 8.688a4.5 4.5 0 011.242 7.244l-4.5 4.5a4.5 4.5 0 01-6.364-6.364l1.757-1.757m13.35-.622l1.757-1.757a4.5 4.5 0 00-6.364-6.364l-4.5 4.5a4.5 4.5 0 001.242 7.244'/></svg> </div> <h3 class='lca-h3'>Generative AI API Integrations</h3> <p class='lca-body'>Clean integration of OpenAI, Anthropic, and Gemini APIs into your applications. Abstraction layers that let you switch models, manage costs, and handle failures gracefully.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'> <svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M9.53 16.122a3 3 0 00-5.78 1.128 2.25 2.25 0 01-2.4 2.245 4.5 4.5 0 008.4-2.245c0-.399-.078-.78-.22-1.128zm0 0a15.998 15.998 0 003.388-1.62m-5.048 4.025a3 3 0 01-4.293 0l1.414-1.415a.75.75 0 111.06 1.06l-1.414 1.415zm3.388-1.62a15.998 15.998 0 001.62-3.388m-1.62 3.388a.75.75 0 11-1.06 1.06l1.414-1.414a.75.75 0 011.06 1.06l-1.414 1.414z'/></svg> </div> <h3 class='lca-h3'>Prompt Engineering & Output Management</h3> <p class='lca-body'>The infrastructure that makes generative AI reliable. Prompt versioning, output validation, A/B testing, cost tracking, quality monitoring. The operational layer most teams discover they need after launch.</p> </div> </div> </div> </div> </div> <div class='section_who-genai' style='background: var(--bg-light);'> <div class='padding-global padding-section-large'> <div class='container-large'> <div class='lca-bento'> <div class='lca-bento-heading'> <h2 class='lca-h2'>Who generative AI development is <strong>for.</strong></h2> <p class='lca-body' style='margin-top:1rem'><span class='lca-pill lca-pill-green'>Ideal Fit</span></p> </div> <div> <div style='display:flex;align-items:flex-start;gap:1rem;margin-bottom:1.5rem;'> <span class='lca-step-num'>1</span> <div> <h3 class='lca-h3'>Content and Media Companies</h3> <p class='lca-body'>You produce content at scale and need to increase output without proportionally increasing cost. AI can draft, adapt, and assist creation while humans maintain quality and voice.</p> </div> </div> <div style='display:flex;align-items:flex-start;gap:1rem;margin-bottom:1.5rem;'> <span class='lca-step-num'>2</span> <div> <h3 class='lca-h3'>Professional Services Firms</h3> <p class='lca-body'>You deliver expertise through documents — reports, analyses, recommendations. Generative AI can accelerate document production while maintaining professional standards.</p> </div> </div> <div style='display:flex;align-items:flex-start;gap:1rem;margin-bottom:1.5rem;'> <span class='lca-step-num'>3</span> <div> <h3 class='lca-h3'>SaaS Products Adding Creation Features</h3> <p class='lca-body'>Your users need to create within your product — emails, descriptions, reports. Generative AI reduces friction and improves output quality for your users.</p> </div> </div> <div style='display:flex;align-items:flex-start;gap:1rem;margin-bottom:1.5rem;'> <span class='lca-step-num'>4</span> <div> <h3 class='lca-h3'>Enterprise Teams Drowning in Documents</h3> <p class='lca-body'>You process high volumes of documents — contracts, applications, correspondence. Extraction, summarization, and classification transform backlogs into manageable workflows.</p> </div> </div> <div style='display:flex;align-items:flex-start;gap:1rem;margin-bottom:1.5rem;'> <span class='lca-step-num'>5</span> <div> <h3 class='lca-h3'>Marketing and Sales Teams</h3> <p class='lca-body'>You need personalized content at scale — outreach, proposals, campaigns. Generative AI can produce variations while maintaining message consistency across segments.</p> </div> </div> <div class='lca-callout-dark' style='margin-top:24px'> <h3 class='lca-h3'>Not the right fit if</h3> <p class='lca-body'>You want a standalone image generator disconnected from product workflows. Or you need content in a domain where hallucinations could cause real harm without robust validation infrastructure.</p> </div> </div> </div> </div> </div> </div>

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margin: 0 0 8px; } .lca-price-timeline { font-size: 0.85rem; color: var(--muted); margin: 0 0 16px; } .lca-price-desc { font-size: 0.925rem; color: var(--body); line-height: 1.6; margin: 0 0 20px; flex-grow: 1; } .lca-price-features { list-style: none; padding: 0; margin: 0; } .lca-price-features li { font-size: 0.875rem; color: var(--body); padding: 6px 0; padding-left: 20px; position: relative; line-height: 1.5; } .lca-price-features li::before { content: ''; position: absolute; left: 0; top: 11px; width: 8px; height: 8px; border-radius: 50%; background: var(--primary); opacity: 0.5; } @media (max-width: 991px) { .lca-pricing-grid { grid-template-columns: 1fr; max-width: 440px; } .lca-price-card.popular { transform: none; } } @media (max-width: 767px) { .lca-bento { grid-template-columns: 1fr; gap: 2rem; } .lca-bento-heading { position: static; } .lca-grid-2 { grid-template-columns: 1fr; } } </style> <div class='section_qa' style='background: var(--bg-light);'> <div class='padding-global padding-section-large'> <div class='container-large'> <div class='lca-bento'> <div class='lca-bento-heading'> <h2 class='lca-h2'>How we work with generative <strong>AI.</strong></h2> <p class='lca-body' style='margin-top:1rem'>Common questions about building generative AI systems that work in production.</p> </div> <div class='lca-grid-2'> <div class='lca-card'> <div class='lca-icon-wrap'><svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M7.5 21L3 16.5m0 0L7.5 12M3 16.5h13.5m0-13.5L21 7.5m0 0L16.5 12M21 7.5H7.5'/></svg></div> <h3 class='lca-h3'>How do you choose between LLM providers?</h3> <p class='lca-body'>We evaluate based on the task. GPT-4 excels at reasoning. Claude handles longer contexts. Gemini integrates with Google. We benchmark against your actual use cases, not general benchmarks.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'><svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M12 6v12m-3-2.818l.879.659c1.171.879 3.07.879 4.242 0 1.172-.879 1.172-2.303 0-3.182C13.536 12.219 12.768 12 12 12c-.725 0-1.45-.22-2.003-.659-1.106-.879-1.106-2.303 0-3.182s2.9-.879 4.006 0l.415.33M21 12a9 9 0 11-18 0 9 9 0 0118 0z'/></svg></div> <h3 class='lca-h3'>How do you handle the cost at scale?</h3> <p class='lca-body'>Cost management is architected from the start. We use appropriate models for each task, implement caching and batching, and build cost monitoring so you understand spend before it surprises you.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'><svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M12 9v3.75m9-.75a9 9 0 11-18 0 9 9 0 0118 0zm-9 3.75h.008v.008H12v-.008z'/></svg></div> <h3 class='lca-h3'>What about hallucinations and incorrect outputs?</h3> <p class='lca-body'>Every system we build assumes the AI will sometimes be wrong. We design validation layers, confidence scoring, human review triggers, and graceful fallbacks. For factual applications, we use RAG to ground responses.</p> </div> <div class='lca-card'> <div class='lca-icon-wrap'><svg viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='1.5'><path stroke-linecap='round' stroke-linejoin='round' d='M10.5 6h9.75M10.5 6a1.5 1.5 0 11-3 0m3 0a1.5 1.5 0 10-3 0M3.75 6H7.5m3 12h9.75m-9.75 0a1.5 1.5 0 01-3 0m3 0a1.5 1.5 0 00-3 0m-3.75 0H7.5m9-6h3.75m-3.75 0a1.5 1.5 0 01-3 0m3 0a1.5 1.5 0 00-3 0m-9.75 0h9.75'/></svg></div> <h3 class='lca-h3'>Can you fine-tune models for our needs?</h3> <p class='lca-body'>We can, but usually don't need to. Modern prompt engineering and RAG typically achieve better results faster. When fine-tuning makes sense, we have the capability but recommend it only when appropriate.</p> </div> </div> </div> </div> </div> </div> <div class='section_process'> <div class='padding-global padding-section-large'> <div class='container-medium'> <h2 class='lca-h2' style='text-align:center;margin-bottom:0.5rem'>Generative AI development <strong>process.</strong></h2> <p class='lca-body' style='text-align:center;max-width:550px;margin:0 auto 3rem'>From use case definition to production deployment — building generative AI that works reliably.</p> <div class='lca-steps'> <div class='lca-step'><div class='lca-step-timeline-num'>1</div><div class='lca-step-content'><h3 class='lca-h3'>Use Case Definition</h3><p class='lca-body'>Identify exactly what the AI needs to generate, what inputs it will have, what quality standards apply. Clear use case definition prevents building generation that doesn't fit the product.</p><div class='lca-step-tags'><span>1-2 weeks</span></div></div></div> <div class='lca-step'><div class='lca-step-timeline-num'>2</div><div class='lca-step-content'><h3 class='lca-h3'>Prompt Engineering & Prototyping</h3><p class='lca-body'>Rapid prototyping of prompts and outputs. We test with diverse inputs, identify failure modes, and refine until outputs meet quality standards before building the surrounding system.</p><div class='lca-step-tags'><span>1-2 weeks</span></div></div></div> <div class='lca-step'><div class='lca-step-timeline-num'>3</div><div class='lca-step-content'><h3 class='lca-h3'>System Architecture</h3><p class='lca-body'>Design of the full system around generation capability. Input processing, output validation, error handling, caching, cost management, monitoring. Architecture decisions based on scale and reliability requirements.</p><div class='lca-step-tags'><span>1-2 weeks</span></div></div></div> <div class='lca-step'><div class='lca-step-timeline-num'>4</div><div class='lca-step-content'><h3 class='lca-h3'>Integration Development</h3><p class='lca-body'>Building the generation capability into the product. API integrations, user interfaces, workflow integration, admin controls. Generation becomes part of the product, not a separate feature.</p><div class='lca-step-tags'><span>2-6 weeks</span></div></div></div> <div class='lca-step'><div class='lca-step-timeline-num'>5</div><div class='lca-step-content'><h3 class='lca-h3'>Quality Assurance & Refinement</h3><p class='lca-body'>Testing across edge cases, measuring output quality, gathering user feedback. Generative AI QA tests for output quality and consistency, not just functionality.</p><div class='lca-step-tags'><span>1-2 weeks</span></div></div></div> <div class='lca-step'><div class='lca-step-timeline-num'>6</div><div class='lca-step-content'><h3 class='lca-h3'>Launch & Optimization</h3><p class='lca-body'>Deployment with monitoring and iteration based on real usage. Prompt refinement, cost optimization, model updates, quality improvements over time.</p><div class='lca-step-tags'><span>Ongoing</span></div></div></div> </div> </div> </div> </div> <div class='section_tech-stack' style='background: var(--bg-light);'> <div class='padding-global padding-section-large'> <div class='container-large'> <h2 class='lca-h2' style='text-align:center;margin-bottom:0.5rem'>Generative AI model <strong>landscape.</strong></h2> <p class='lca-body' style='text-align:center;max-width:600px;margin:0 auto 2.5rem'>Choosing the right model for each generation task.</p> <div class='lca-table-wrapper'> <table class='lca-comp-table'> <thead><tr><th>Provider</th><th>Best For</th><th>Context Window</th><th>Cost Profile</th></tr></thead> <tbody> <tr><td><strong>OpenAI GPT-4o</strong></td><td>General generation, reasoning</td><td>128K tokens</td><td>Medium</td></tr> <tr><td><strong>Anthropic Claude 3.5</strong></td><td>Long documents, nuanced tasks</td><td>200K tokens</td><td>Medium</td></tr> <tr><td><strong>Google Gemini</strong></td><td>Google ecosystem integration</td><td>1M tokens</td><td>Medium</td></tr> <tr><td><strong>Open Source (Llama, Mistral)</strong></td><td>Privacy, cost control</td><td>Varies</td><td>Low</td></tr> </tbody> </table> </div> </div> </div> </div> <div class='section_pricing'> <div class='padding-global padding-section-large'> <div class='container-large'> <h2 class='lca-h2' style='text-align:center;margin-bottom:0.5rem'>Generative AI <strong>investment ranges.</strong></h2> <p class='lca-body' style='text-align:center;max-width:600px;margin:0 auto 3rem'>Scoped to your use case — from single integration to full generative AI platform.</p> <div class='lca-pricing-grid'> <div class='lca-price-card'> <p class='lca-price-tier'>Generative AI Integration</p> <p class='lca-price-range'>$8K – $25K</p> <p class='lca-price-timeline'>4-8 weeks</p> <p class='lca-price-desc'>Single generative capability integrated into existing product with prompt engineering and output validation.</p> <ul class='lca-price-features'><li>Single generative capability</li><li>Prompt engineering and output validation</li><li>Basic cost management</li><li>Integration with existing UI</li><li>Documentation and prompt library</li></ul> </div> <div class='lca-price-card popular'> <span class='lca-price-badge'>Most Common</span> <p class='lca-price-tier'>Generative AI Feature Set</p> <p class='lca-price-range'>$25K – $70K</p> <p class='lca-price-timeline'>8-14 weeks</p> <p class='lca-price-desc'>Multiple generative capabilities working together with advanced output management and optimization.</p> <ul class='lca-price-features'><li>Multiple generative capabilities</li><li>Advanced prompt engineering</li><li>Cost optimization and caching</li><li>Admin controls and analytics</li><li>Quality monitoring and refinement</li></ul> </div> <div class='lca-price-card'> <p class='lca-price-tier'>Full Generative AI Platform</p> <p class='lca-price-range'>$70K – $180K+</p> <p class='lca-price-timeline'>14-24 weeks</p> <p class='lca-price-desc'>Product with generative AI as core value proposition with enterprise-grade reliability.</p> <ul class='lca-price-features'><li>Complex generation workflows</li><li>Multi-model architecture</li><li>Enterprise reliability and compliance</li><li>Scalable infrastructure</li><li>Ongoing optimization and model updates</li></ul> </div> </div> </div> </div> </div> <script> (function(){var steps=document.querySelectorAll('.lca-steps .lca-step');if(!steps.length)return;var observer=new IntersectionObserver(function(entries){entries.forEach(function(entry){if(entry.isIntersecting){entry.target.classList.add('lca-visible');}});},{threshold:0.15});steps.forEach(function(step){observer.observe(step);});})(); </script>

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font-weight: 700; color: var(--primary); } .lca-testimonial-metric-label { font-size: 0.8rem; color: var(--muted); } .lca-faqs-grid { display: grid; grid-template-columns: 1fr 2fr; gap: 4rem; align-items: start; } .lca-faq-list { display: flex; flex-direction: column; } .lca-faq-item { border-bottom: 1px solid #eaeaea; } .lca-faq-trigger { display: flex; justify-content: space-between; align-items: center; padding: 1.5rem 0; cursor: pointer; width: 100%; background: none; border: none; text-align: left; } .lca-faq-trigger:hover h3 { color: var(--primary); } .lca-faq-trigger h3 { font-size: 1.05rem; font-weight: 600; color: var(--dark); margin: 0; padding-right: 1.5rem; transition: color 0.2s; line-height: 1.4; } .lca-faq-arrow { width: 24px; height: 24px; flex-shrink: 0; transition: transform 0.3s cubic-bezier(0.4, 0, 0.2, 1); color: var(--primary); } .lca-faq-item[data-open='true'] .lca-faq-arrow { transform: rotate(180deg); } .lca-faq-collapse { overflow: hidden; height: 0; transition: height 0.3s cubic-bezier(0.4, 0, 0.2, 1); } .lca-faq-answer { padding: 0 0 1.5rem 0; } .lca-faq-answer p { font-size: 0.975rem; color: var(--body); margin: 0; line-height: 1.7; } @media (max-width: 767px) { .lca-testimonials-grid, .lca-faqs-grid { grid-template-columns: 1fr; gap: 2rem; } } </style> <div class='section_case-studies' style='background: var(--bg-light);'> <div class='padding-global padding-section-large'> <div class='container-large'> <h2 class='lca-h2' style='margin-bottom:2.5rem'>LowCode Agency, in action with generative <strong>AI.</strong></h2> <div class='lca-testimonials-grid'> <div class='lca-testimonial-card'> <span class='lca-testimonial-tag'>EdTech / AI</span> <h3 class='lca-testimonial-title'>BarEssay — AI Essay Feedback</h3> <p class='lca-testimonial-desc'>Built generative AI system that reads practice essays, evaluates against bar exam criteria, and generates detailed feedback instantly — matching the quality of experienced graders.</p> <div class='lca-testimonial-metrics'><div class='lca-testimonial-metric'><span class='lca-testimonial-metric-value'>Instant</span><span class='lca-testimonial-metric-label'>feedback replacing 48hr cycles</span></div><div class='lca-testimonial-metric'><span class='lca-testimonial-metric-value'>Consistent</span><span class='lca-testimonial-metric-label'>evaluation criteria</span></div></div> </div> <div class='lca-testimonial-card'> <span class='lca-testimonial-tag'>Leadership / AI</span> <h3 class='lca-testimonial-title'>The Attributes — Leadership Insights</h3> <p class='lca-testimonial-desc'>Generative AI that synthesizes assessment data and organizational context to produce personalized leadership development insights at scale.</p> <div class='lca-testimonial-metrics'><div class='lca-testimonial-metric'><span class='lca-testimonial-metric-value'>3,000+</span><span class='lca-testimonial-metric-label'>personalized insights</span></div><div class='lca-testimonial-metric'><span class='lca-testimonial-metric-value'>Coaching</span><span class='lca-testimonial-metric-label'>quality at software pricing</span></div></div> </div> <div class='lca-testimonial-card' style='grid-column: 1 / -1;'> <span class='lca-testimonial-tag'>Nonprofit / AI</span> <h3 class='lca-testimonial-title'>CHIIP — AI Proposal Writing</h3> <p class='lca-testimonial-desc'>Generative AI system that drafts proposal sections based on organizational data, funder requirements, and successful patterns — reducing first drafts from days to minutes.</p> <div class='lca-testimonial-metrics'><div class='lca-testimonial-metric'><span class='lca-testimonial-metric-value'>&lt;10 min</span><span class='lca-testimonial-metric-label'>first draft generation</span></div><div class='lca-testimonial-metric'><span class='lca-testimonial-metric-value'>40%</span><span class='lca-testimonial-metric-label'>reduction in writing time</span></div></div> </div> </div> </div> </div> </div> <div class='section_faqs'> <div class='padding-global padding-section-large'> <div class='container-large'> <div class='lca-faqs-grid'> <div><h2 class='lca-h2'>We get asked this <strong>all the time.</strong></h2><p class='lca-body' style='margin-top:1rem'>Straightforward answers about generative AI in production.</p></div> <div class='lca-faq-list'> <div class='lca-faq-item' data-open='false'><button class='lca-faq-trigger'><h3>Is generative AI ready for production use?</h3><svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg></button><div class='lca-faq-collapse'><div class='lca-faq-answer'><p>Yes, with appropriate architecture. Production systems need output validation, error handling, cost controls, and monitoring that demos don't have. We build for production from the start.</p></div></div></div> <div class='lca-faq-item' data-open='false'><button class='lca-faq-trigger'><h3>How do we maintain brand voice with AI-generated content?</h3><svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg></button><div class='lca-faq-collapse'><div class='lca-faq-answer'><p>Prompt engineering with brand guidelines, style examples, and voice documentation. We build validation layers that check output against brand standards. Generation systems can be surprisingly consistent when properly engineered.</p></div></div></div> <div class='lca-faq-item' data-open='false'><button class='lca-faq-trigger'><h3>What's the realistic quality of AI-generated content?</h3><svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg></button><div class='lca-faq-collapse'><div class='lca-faq-answer'><p>Depends on the task. Structured content can be production-ready. Creative content usually needs human review. We're honest about where AI can fully automate versus where it accelerates human work.</p></div></div></div> <div class='lca-faq-item' data-open='false'><button class='lca-faq-trigger'><h3>Can AI replace our content team?</h3><svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg></button><div class='lca-faq-collapse'><div class='lca-faq-answer'><p>It can augment them significantly. Successful teams use AI for volume and first drafts while humans focus on strategy, quality control, and work requiring genuine creativity.</p></div></div></div> <div class='lca-faq-item' data-open='false'><button class='lca-faq-trigger'><h3>How do we measure ROI on generative AI?</h3><svg class='lca-faq-arrow' fill='none' viewBox='0 0 24 24' stroke='currentColor' stroke-width='2'><path stroke-linecap='round' stroke-linejoin='round' d='M19 9l-7 7-7-7'/></svg></button><div class='lca-faq-collapse'><div class='lca-faq-answer'><p>Before building, we define metrics — time saved, volume processed, quality scores, user satisfaction. 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