AI assistants for websites and apps: an in-app helper (study tutor, support helper, recipe or product assistant) or a lead-intake chatbot wired into your CRM.
What I build
LLM assistants using the Gemini API with a clear system prompt, context handling and graceful error messages
Structured conversational flows with Dialogflow CX and a secured webhook backend (Firebase Cloud Functions)
HubSpot contact lookup/creation and notes, with session transcripts stored in Firestore
Consent and PII handling, plus a hand-off link to your application or booking page
Embed options for a website (iframe or widget)
Related proof in my Work section
Mortgage AI Assistant (Dialogflow CX + HubSpot + scheduled SMS follow-ups) and SCEE Exam Prep (AI doubt-clearing tutor).
What I need from you
Use case, audience and tone
FAQs or knowledge sources the bot should rely on
CRM or booking tool access (HubSpot is my default; others on request)
AI assistants for websites and apps: an in-app helper (study tutor, support helper, recipe or product assistant) or a lead-intake chatbot wired into your CRM.
What I build
LLM assistants using the Gemini API with a clear system prompt, context handling and graceful error messages
Structured conversational flows with Dialogflow CX and a secured webhook backend (Firebase Cloud Functions)
HubSpot contact lookup/creation and notes, with session transcripts stored in Firestore
Consent and PII handling, plus a hand-off link to your application or booking page
Embed options for a website (iframe or widget)
Related proof in my Work section
Mortgage AI Assistant (Dialogflow CX + HubSpot + scheduled SMS follow-ups) and SCEE Exam Prep (AI doubt-clearing tutor).
What I need from you
Use case, audience and tone
FAQs or knowledge sources the bot should rely on
CRM or booking tool access (HubSpot is my default; others on request)