Summary

FAQs

• What makes your GenAI chatbot service different from traditional providers?

  Have you ever started typing into a chatbot expecting it to behave like ChatGPT and after all your input it ask whats your name and begins funneling you down its predefined path? Feels like you wasted your time? Traditional bots use rigid, "if/then/else" flows, limiting conversation. I use advanced GenAI and expert prompt engineering to create truly dynamic, contextual, and intelligent agents that can handle unexpected queries and complex interactions seamlessly.

• What LLM (Large Language Model) do you use?

  I follow the leader boards of the latest top state of the art models ( SOTA ). Mostly I use anthropic, gemini and sometimes openAI. Not limited to those, for voice I like eleven labs, for fast inference Groq or cerebras. It depends on the use case. Gemini is pretty good since 2.5.

• Can the chatbot connect to my existing internal systems (e.g., CRM, Database)?

  Yes. A core deliverable is Structured API Calling. I design and implement secure connections to your 3rd party APIs, allowing the chatbot to retrieve real-time data, process transactions, or update records dynamically.

• How do you ensure the chatbot is safe and secure?

  Security is paramount. I conduct a rigorous AI Safety Audit to mitigate risks like prompt injection attacks, check for hallucination tendencies, and ensure data privacy compliance according to your industry standards. Also the tools in this space are improving.

• What about maintenance and updates after deployment?

  I provide documentation and training for sustained operational excellence. Post-launch, I can establish a monitoring pipeline to track performance and conduct periodic prompt refinement to maintain optimal conversation quality. One of the big problems in this space is the deprecation of model versions, I track those and update the models or send notifications to my customers in time.