# AI Integration for Real Business Workflows Beyond the demos. Tuxxin embeds large-language-model APIs into the systems your business already runs — customer support, sales follow-up, content generation, document parsing, multilingual translation, voice phone agents. Most "AI for business" solutions are a $10K/year SaaS wrapper around a $0.50 API call. Tuxxin builds AI integrations directly into your existing applications using the underlying APIs (Anthropic Claude, Google Gemini, OpenAI), so the cost is what the LLM provider charges plus a one-time integration fee — not a permanent subscription. We have shipped AI integrations covering voice phone agents on Twilio, real-time chat with retrieval-augmented generation, automatic translation across 27 locales (powering webshot.site), document classification, support-ticket triage, and content drafting pipelines. ## AI Services We Deliver 💬 ### Customer-support chatbots Trained on your existing knowledge base (docs, support tickets, FAQs), grounded with retrieval to prevent hallucinations. Drop-in widget for your site, integrated with your help-desk for human handoff. 📞 ### Voice phone agents AI receptionist on a Twilio number that books appointments, answers FAQs, qualifies leads, and routes calls to the right human. Bilingual support out of the box. ✍️ ### Content generation AI-assisted blog drafting, product description generation, meta-description writing, and multilingual translation. Pipelines that respect your brand voice and stay editor-reviewed. 🌐 ### Multilingual translation Auto-translate site copy across dozens of languages with a single Gemini call. We built this for webshot.site (27 locales, full hreflang) and can deploy the same pipeline for your site. 📄 ### Document parsing Extract structured data from PDFs, scanned invoices, contracts, and forms. AI does the OCR + classification; we do the validation, retry logic, and human-review queue. 🎯 ### Lead scoring & triage Inbound contact form? Sales email thread? AI scores intent, drafts a response, and routes to the right rep — measurably better than manual triage at the volumes most SMBs see. ## Our AI Stack ### Models Anthropic Claude 4.6/4.7 for reasoning + tool use, Gemini 2.5 Flash for cheap high-volume work, OpenAI GPT-5 where the project demands it. We benchmark per task, not by hype. ### Frameworks Direct API calls (no LangChain bloat) plus light orchestration with the Anthropic Agent SDK or your equivalent. Tool use, structured output, prompt caching baked in. ### Voice + telephony Twilio for inbound/outbound calls, Anthropic real-time API or a self-hosted Whisper + Coqui pipeline for STT/TTS, with prompt-cached agent state for sub-second response. ### Retrieval (RAG) pgvector or sqlite-vss for embeddings, Voyage AI or OpenAI text-embedding for the model. We index your docs at deploy time, not at query time. ### Cost controls Per-tenant token budgets, prompt caching, model fallback chains, and cost alerts. You will know what each customer interaction costs you in real-time. ### Privacy PII redaction at the prompt boundary, opt-in data retention with the LLM provider, audit logs of every model call. We can also deploy fully-local models (Llama, Mistral) where compliance demands it. ## Our Delivery Process ### Identify the use case A 60-minute working session — we look at your existing workflows and identify which steps are LLM-shaped (high volume, language-heavy, currently manual). ### Prompt + benchmark We prototype 2-3 prompt strategies, benchmark accuracy and cost on real samples, and pick the winner. You see actual numbers before committing. ### Integrate The winning prompt is wired into your existing app via API, with retry logic, cost caps, and graceful fallback when the LLM is unavailable. ### Measure + iterate We instrument every call (latency, token cost, accuracy on review samples) and tune monthly. AI deployments are not "set and forget" — we treat them like any other production service. ## AI Integration Is Right For You If Tuxxin works best with the following kinds of teams and projects. - ✓You handle a high volume of customer messages, support tickets, or inbound phone calls and want to triage them faster. - ✓You generate content (product descriptions, blog posts, meta tags) at a scale where human-only doesn't fit the budget. - ✓You translate or localize your site/app into multiple languages and want to skip the translation-agency markup. - ✓You parse incoming documents (invoices, forms, contracts) and want structured data out without hand-keying. - ✓You've seen ChatGPT demos and want the same kind of capability inside your own application, not as a separate browser tab. ## Frequently Asked Questions ### Which LLM provider is best? It depends on the task. Claude is currently the best for reasoning, agentic tool use, and code. Gemini Flash is the cost leader for high-volume classification and translation. OpenAI is competitive on multimodal and voice. We benchmark on YOUR data, not someone else's, before recommending a provider. ### How do you stop the AI from hallucinating? Three layers: (1) retrieval grounding so the model can only answer from a known corpus, (2) structured output schemas that constrain what the model can return, (3) confidence thresholds with human handoff below a cutoff. No production deployment of ours sends raw LLM output directly to a customer without a guardrail. ### What does this cost to run? Most SMB AI integrations cost $50-$500/month in LLM API spend, on top of one-time integration fees. We give a per-call cost estimate up front and instrument the production system so you can see actual spend by user, by feature, by hour. ### Can it run on our own servers? Yes — we deploy local models (Llama 3.x, Mistral, Qwen) for compliance-sensitive work. Local models are 70-90% as accurate as Claude/GPT-5 on most tasks but require GPU hardware. We will tell you honestly when the trade-off is worth it. ## Have an AI use case in mind? Tell us about the workflow you'd like to augment with AI. Free 30-minute scoping call — we will tell you whether AI is actually the right tool, or whether a 50-line Python script would do the job for $0/month.