I will integrate ai chatbot agent and openai claude api into your app

Yes, that is the main thing this gig does. I work with your existing codebase, whether it is React, Next.js, Node, Laravel, WordPress or something else, and add the AI layer into it. Send me repo access or a link and I will tell you what is possible before you order.

I estimate this before you commit, based on your expected volume and the model chosen. A support chatbot on moderate traffic often runs under 50 USD a month. Heavy document processing costs more. I will show you the per request cost so there are no surprises on your API bill.

Whichever fits your use case. Claude for long documents and careful reasoning, OpenAI for general chat and tooling, Gemini for cost sensitive high volume work, open source when data cannot leave your servers. I recommend one and explain why rather than defaulting to a favourite.

Retrieval augmented generation. The model answers only from your documents and data rather than its training, with citations back to the source. I also add guardrails, fallback responses and refusal handling so it says it does not know instead of inventing an answer.

RAG means the AI searches your own content before answering, so responses come from your data rather than the model's memory. You need it if the AI must answer about your products, policies, documents or customers. You do not need it for generic writing or classification tasks.

Yes. Agents that book appointments, update records, send emails, query databases, call your APIs or trigger workflows. Actions are scoped and permissioned so the agent can only do what you allow, and every action is logged so you can audit what happened.

Yes. Inbound and outbound voice agents using ElevenLabs, Twilio and Retell, connected to your CRM or booking system. I have built calling systems handling real customer conversations. Tell me the call flow you need and I will scope it.

No. I configure API access so your data is not used for training, and I can work within your own cloud account if data cannot leave your infrastructure. I sign an NDA on request and never reuse client data, prompts or content on other projects.

A single scoped feature takes about 3 days. A chatbot or agent on your own data with an API layer and deployment takes around 7 days. A full system with RAG, multiple agents and monitoring takes 14 days or more. You get a dated plan before you order.

I test against real inputs before delivery and tune prompts until output is reliable, not just plausible. If a use case genuinely is not solvable with current models, I will tell you that during scoping rather than take the order and deliver something disappointing.