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AI Chatbot & LLM Integration for Your App or Website
FeaturedAI IntegrationAIChatbotLLMOpenAIClaudeRAGIntegration 5–21 days

AI Chatbot & LLM Integration for Your App or Website

Add a smart AI chatbot or LLM feature to your product — trained on your content, integrated into your stack, and shipped by an AI-native engineer.

Pricing

Chatbot Starter

$250

A clean AI chatbot on your site, powered by your chosen model.

5 days delivery2 revisions
  • OpenAI/Claude/Gemini integration
  • Branded chat UI widget
  • Streaming responses
  • Basic prompt tuning
  • API-key security
Most Popular

Knowledge-Base Bot

$650

A chatbot that actually knows your content, via RAG.

12 days delivery3 revisions
  • Everything in Starter
  • RAG over your docs/site
  • Vector search setup
  • Rate limiting + cost controls
  • Admin/config options
  • 3 rounds of revisions

Custom AI Feature

$1,400

A bespoke LLM feature or agent embedded in your app.

21 days deliveryUnlimited revisions
  • Custom AI feature/agent
  • Multi-source retrieval
  • Function calling / tools
  • Usage analytics
  • Full backend + UI integration
  • Documentation
  • Unlimited revisions during build

About This Service

Want to add AI to your website or app — a support chatbot, a content assistant, or an LLM-powered feature? I integrate OpenAI, Claude, Gemini, and open models (Ollama) into real products, the right way.

Not a fragile demo — a real feature: streaming responses, your own knowledge base (RAG), rate limiting, and a clean UI that fits your brand. This portfolio itself has an AI-powered blogging pipeline I built end to end.

What you get

  • An AI chatbot or LLM feature wired into your site/app
  • Retrieval over your content (docs, products, knowledge base)
  • Streaming responses and a polished chat UI
  • API-key security, rate limiting, and cost controls
  • Clean, documented integration you can extend

Give your users answers instantly — and stand out from competitors who haven't caught up yet.

How I Work

How I work

  1. Define the use case — support bot, assistant, search, or a custom feature.
  2. Choose the stack — the right model and approach (prompt, RAG, or fine-tune) for your budget.
  3. Build the integration — backend, retrieval, streaming, and UI.
  4. Tune & guardrail — prompts, safety, rate limits, and cost caps.
  5. Ship & document — deployed, with docs so your team can adjust it.

Why clients trust me

  • 12+ years shipping to production — not tutorials, real products used by real people.
  • Proof, not promises — I've built ReviewX (10,000+ active users), a WooCommerce reviews SaaS on Laravel, and open-source WordPress tools with 5,000+ installs.
  • Clear communication — you get regular updates, honest timelines, and a developer who actually replies.
  • Clean, documented, maintainable code — so you (or your next developer) are never stuck.
  • AI-accelerated delivery — I use agentic AI coding to compress what used to take months into weeks, without cutting corners on quality.

Frequently Asked Questions

Which AI model should I use?
It depends on your needs and budget — I'll recommend honestly. Claude and GPT for quality, Gemini for value, or open models via Ollama for privacy/cost. You're never locked in.
Can the bot answer from my own content?
Yes — that's the RAG approach. I index your docs, products, or knowledge base so the bot answers from *your* material, not generic guesses.
How do you control AI costs?
Rate limiting, caching, token caps, and choosing the right model per task. I'll set sensible guardrails so a viral day doesn't become a surprise bill.
Will it match my brand and site?
Completely. The chat UI is styled to your brand and embedded cleanly into your existing site or app.
Do I use my own API keys?
Yes — your keys, your account, your control. I set it up securely so keys are never exposed to the browser.

AI-native, not AI-curious

I build with AI every day — agentic coding, LLM pipelines, and integrations:

  • This portfolio runs an AI-powered blogging system I built (providers, context, automation).
  • I work across OpenAI, Claude, Gemini, and Ollama and know their trade-offs first-hand.
  • I use agentic AI to ship faster — which means your AI feature is done in days, not months.

Start your project

Tell me what you need for AI Chatbot & LLM Integration for Your App or Website and I'll reply with next steps, a firm quote, and a timeline — usually within 24 hours.

Click to upload or drag & drop

PDF, DOC, XLS, PPT, images, ZIP/RAR, and design files

What happens next

  • 1. I read your request and ask anything I need to.
  • 2. You get a firm quote, scope, and timeline.
  • 3. We agree, and I start building.

Reply within 24 hours

Typical delivery: 5–21 days

No obligation — free quote

Prefer to talk it through first?