AI Personal Assistant — Email, Calendar, Tasks & Expenses in One Agent Most productivity tools so...AI Personal Assistant — Email, Calendar, Tasks & Expenses in One Agent Most productivity tools so...
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khubaib Naveed
• Sep 3
AI Personal Assistant — Email, Calendar, Tasks & Expenses in One Agent Most productivity tools solve one problem each — an inbox tool, a calendar tool, a task manager, a notes app — which means the user still has to be the one connecting them. I built an AI agent that acts as the connective layer instead.
The system is triggered via webhook (so it can be reached from anywhere — chat, a form, or another app) and routed through a central AI Agent that decides which tool to use based on what's asked, including:
Gmail — read, search, and send messages
Google Calendar — create, update, and search events across multiple calendars
Task management — create, update, retrieve, and delete tasks
Notes — create and update notes/documents automatically
Expense tracking — logs and retrieves expenses on request
Web search — pulls live information when the answer isn't in any connected tool
Calculator — handles quick math without leaving the conversation
Instead of a rigid, single-purpose bot, this is built as a true multi-tool agent — it holds context (via memory), picks the right tool for the request, and responds like a real assistant instead of a fixed menu of commands.
AI AutomationN8N
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Muhammad's avatar
Muhammad Sohaib
• Sep 5
Super impressive work
khubaib's avatar
khubaib Naveed
• Sep 5
thanks a lot bro
Ruben's avatar
Ruben Arevalo
• Sep 7
Very interesting and impressive build! But I have to ask out of curiosity: when you describe this as a "true multi-tool" AI agent, how much of the decision-making is handled behind the scenes by the model? Can the agent truly choose, sequence, retry, or switch tools based on...
khubaib's avatar
khubaib Naveed
• Sep 7
Good question. In this build, the model does the actual decision-making n8n's AI Agent node runs a loop where the LLM sees the user message plus every tool's name/description/schema, picks which tool to call sends it structured input gets the result back, and decides its next...
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