Automate location discovery, data capture, AI commentary, logging, and team notification across Google Maps, OpenRouter, Sheets, and Slack.
Film Location Database AI automates the end-to-end process of scouting locations for film projects. It queries Google Maps Places API for candidate sites and extracts essential details. It uses AI to write a concise Director's Commentary, saves results to Google Sheets, and notifies Slack with a summary for the team.
Automates data collection, analysis, and team communication for location scouting.
Query Google Maps Places API for matching locations.
Normalize data and capture name, address, rating, and link.
Generate AI-driven Director's Commentary for each location.
Save location data and AI notes to Google Sheets automatically.
Batch-process results and update the sheet with new entries.
Notify Slack with a summary link after processing completes.
The AI agent replaces manual, fragmented location hunting with an end-to-end workflow that standardizes data and adds cinematic context.
A simple 3-step system anyone can follow.
Receive a chat input with search criteria and pass it to the workflow.
Query Google Maps Places API and run AI analysis to generate a Director's Commentary for each result.
Save results to Google Sheets and post a summary to Slack when processing finishes.
A realistic task with concrete inputs and outcomes.
Scenario: A production team asks for 5 interior cafe locations in Kyoto for a one-day shoot. The AI agent processes the request, retrieves 5 locations, generates Director's Commentary for each, saves all data to Google Sheets, and posts a Slack summary with a link to the sheet. The entire run completes in about 15 minutes, leaving a labeled list of locations ready for review.
Roles that gain a centralized, actionable location library.
quickly identify viable shooting spaces with cinematic context.
centralize locations data and notes in one accessible sheet.
track potential costs, permits, and approvals in context with locations.
preview cinematic potential with AI-generated Director's Commentary.
assess space compatibility for set design and props.
build a reusable location library for shoots and shoots-related planning.
The AI agent works across these tools to automate the workflow.
Find candidate locations and fetch essential metadata.
Log location data and AI commentary into a structured sheet.
Post a summary link and notify the team.
Provide AI analysis to generate Director's Commentary.
Orchestrate the chat input, API calls, data writes, and notifications.
Concrete scenarios where this AI agent shines.
Common concerns about using the AI agent in your workflow.
The run count is configurable in the workflow. You can start with a small batch to minimize API costs and iterate. The AI agent supports processing batches of locations in sequence, ensuring each entry is captured with its AI commentary. You can increase the batch size as soon as you’re comfortable with the data quality and quota limits. The logs in Google Sheets will reflect the exact number of records processed in that run.
Yes. The system prompt controlling the AI personality can be adjusted in the AI Location Analyzer node. You can set a cinematic, documentary, or terse-director tone depending on your project. Changes apply to all results in the current run and can be saved as a preset for future runs. This allows you to align the commentary with director preferences or production style.
Absolutely. The workflow is designed to swap the AI provider with minimal changes. You can replace the OpenRouter node with OpenAI or Anthropic without restructuring the entire flow. This makes it easy to compare results across models or adapt to policy and cost considerations. Any changes are isolated to the AI analysis step and do not affect data capture or notifications.
All location data and AI commentary are stored in a Google Sheet specified in the workflow configuration. You can export the sheet to CSV or other formats from Google Sheets. The export preserves column structure for easy import into other tools or pipelines. If you need archival copies, you can duplicate the sheet or create a backup workflow step.
The workflow requires API keys for Google Maps and Slack, and an access key for OpenRouter. Credentials are stored within your automation platform and accessed securely by the workflow at runtime. Data in Sheets and Slack is only written to or read from by the configured integrations. You can limit access to the sheet and channel to trusted team members to maintain security and compliance.
Yes. The Slack notification step is optional. If you disable it, the AI agent will still generate and store the Director's Commentary in Sheets. You can periodically pull the sheet to review results, or enable Slack alerts only for batch completions or critical updates. This gives you flexibility based on team communication preferences.
You configure credentials in the n8n workflow or your automation platform’s credentials manager. You will provide the Google Maps API key, Google Sheets ID, Slack Channel ID, and OpenRouter API key. After saving these values, the workflow will validate connections and begin processing. If any credential changes occur, the system will revalidate connections before resuming runs.
Automate location discovery, data capture, AI commentary, logging, and team notification across Google Maps, OpenRouter, Sheets, and Slack.
