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š AI Chat Agent for Automated Google Calendar Scheduling (n8n)
š š Project Summary
Built a multilingual, conversational AI Scheduling Agent in n8n that autonomously manages calendar appointments. The agent processes natural language chat messages, references historical context using a memory node, and directly creates, retrieves, or cancels events in Google Calendar based on user intent.
š„ š„ The Outcome & Business Value
Zero-Touch Appointment Booking: Completely automated the client scheduling funnel, handling bookings, lookups, and cancellations without human administrative overhead.
Context-Aware Conversations: Integrated persistent memory so the AI agent remembers past interactions within the chat session for a smooth, human-like user experience.
Rapid Multi-Intent Execution: Routes complex user requests (e.g., "cancel my appointment") to the correct backend function, executing the entire database update in under 2.5 seconds.
š„ š„ How It Works
User Trigger: Initiated instantly when a text or chat message is received from a client.
AI Cognitive Layer: An AI Agent node orchestrates the workflow, leveraging an OpenAI Chat Model for reasoning and a Simple Memory block to track conversation history.
Dynamic Tool Routing: The agent analyzes the user's intent and dynamically selects the correct operational tool to execute live changes:
agendar_cita (Create Google Calendar Event)
obtener_citas (Get/Find Google Calendar Event)
cancelar_cita (Delete/Cancel Google Calendar Event)
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What if the whisky-making process became the artwork?
Full Barile identity, campaign and film:
https://contra.com/p/bMNAvgWk-barile-brand-identity-and-launch-campaign
Barrel staves become monumental sculptures. Their curves carry through the collectorās packaging and a 15-second film. Explore four moments from the project here, then discover the complete visual identity and campaign in the case study.
Self-initiated concept for a fictional Brazilian single malt. Creative direction, brand identity and AI-assisted visual development by Mauricio Pontual.
#BrandIdentity #ArtDirection #PackagingDesign #BrandCampaign #AIVideo
The way the barrel curves carry all the way through to the packaging is such a tight through line. Since this was self-initiated, did the sculptural direction come first and the 15 second film get built around it, or were they developed side by side?
Before ā After
Starting with an original product photo and turning it into a polished e-commerce visual through an AI-assisted workflow.
AI can speed up the production, but it doesnāt replace creative thinking. The creative direction behind the AI still matters; from composition, lighting, environment, and product placement to deciding what actually works for the brand.
These decisions come from human experience: everything weāve learned, seen, and experienced, combined with our own creative taste and judgment. AI can execute the direction, but weāre still the ones defining it.
Original product photo ā e-commerce-ready creative.
Faster production, without removing the human design decisions behind it.
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the red light makes the shot pop
I built a workflow that turns a business website into a testable AI phone receptionist.
The system analyzes the website, extracts services, staff, opening hours, policies, and other relevant information, then creates an isolated voice-agent demo for that business. Instead of sending a generic recording, we can provide a real phone number that allows the business to test the agent through an actual call.
When the website or scheduling system supports an integration, the agent can check availability and book appointments during the call. Otherwise, it safely captures the callerās details and preferred time for staff follow-up.
If a business decides to continue after the demo, the same foundation can be expanded into a production receptionist with databases, customer-specific business rules, calendar and CRM integrations, confirmations, call summaries, analytics, and administrative controls.
The extracted information can also reveal gaps in the business website. Its content and structure can then be improved so both visitors and the AI receptionist receive clearer, more reliable information.
The main lesson I share is that website extraction alone is not enough. Information must be normalized, validated, and restricted to the source material before it can be used safely in a live voice conversation.
The demonstration uses a fictional dental clinic and real recordings from my working voice-agent system. No patient data, real customer information, or invented testimonials are included.
I used Descript to assemble and refine the presentation, edit the narration and real-call sections, create captions, and prepare the final submission.
