Make.com Automation Developer Test Project AI Powered Meeting Intelligence System - Contract to Hire
We are looking for an experienced Make.com automation developer to complete a short test project involving an AI powered meeting intelligence workflow. This test project is designed to evaluate technical quality, structure, and reliability. Once successfully completed, long term and ongoing automation work will be available.
This project focuses on building a privacy first automation that processes meeting audio recordings, transcribes them, extracts structured insights using AI, and writes results into Notion databases.
This is a short term test engagement only. Long term tasks will be discussed after successful delivery.
Project Scope
The developer will build an end to end Make.com automation that performs the following
Accepts audio input from two sources
Local audio recordings captured via macOS system audio
Manual uploads such as iPhone voice memo files from in person meetings
Processes audio using the Whisper API for transcription
Validates file size
Implements chunking for files larger than 25MB
Includes retry logic and error handling
Uses an LLM such as OpenAI GPT to extract structured insights
Meeting summary
Action items with metadata
Suggested tags based on existing categories
Returns clean structured JSON output
Writes results to Notion
Creates meeting records with summaries and metadata
Creates related action items in a task database
Applies relations to existing Projects Topics and Areas
Implements privacy controls
Deletes audio files after transcription
Deletes transcripts after AI processing
Retains only structured insights in Notion
Technical Requirements
Strong Make.com experience with complex scenarios
Notion API experience including database writes and relations
OpenAI API experience including Whisper and GPT models
Audio file handling including chunking and size limits
Prompt engineering for structured JSON outputs
Robust error handling and retry logic
Environment and Tools
Access to Make.com
Familiarity with macOS audio routing concepts
Webhook triggers and secure file upload workflows
Strong JSON parsing and data transformation skills
Nice to Have
Experience with August Bradley PPV Notion methodology
Google Calendar API experience
Previous AI automation projects
Understanding of NLP and sentiment analysis concepts
Existing Infrastructure
Already available
Notion workspace with meeting task and related databases
Preliminary Make.com automation that needs refactoring
OpenAI and Notion API keys
Needs to be built
Production ready Make.com scenario
Stable error handling and retries
Audio chunking logic
Structured prompt templates
Notion write operations with relations
Privacy compliant cleanup steps
Expected Deliverables
A fully working Make.com scenario
Clear technical documentation explaining the architecture and data flow
Prompt templates used for summarization action items and tagging
A short user guide explaining how to trigger and review outputs
Success Criteria
Audio files upload and process successfully
Transcription works for long meetings
AI summaries are accurate and structured
Action items are correctly created in Notion
Auto tagging aligns with existing databases
Audio and transcripts are deleted after processing
The system can handle a 60 minute meeting end to end
Privacy and Security Requirements
No meeting bots
No permanent audio storage
No transcript retention
API keys stored securely
Authenticated webhook usage
Application Instructions
Please include the following in your application
Experience summary including Make.com and Notion API work
Your technical approach to handling large audio files and errors
Availability and estimated completion timeline
Relevant portfolio or documentation samples
Start your application with the word Automation so we know you reviewed the full posting.
This is a test project only. After successful completion, long term automation tasks and continued collaboration will be available.
We look forward to reviewing your application.
Apply Now
Apply Now
This project focuses on building a privacy first automation that processes meeting audio recordings, transcribes them, extracts structured insights using AI, and writes results into Notion databases.
This is a short term test engagement only. Long term tasks will be discussed after successful delivery.
Project Scope
The developer will build an end to end Make.com automation that performs the following
Accepts audio input from two sources
Local audio recordings captured via macOS system audio
Manual uploads such as iPhone voice memo files from in person meetings
Processes audio using the Whisper API for transcription
Validates file size
Implements chunking for files larger than 25MB
Includes retry logic and error handling
Uses an LLM such as OpenAI GPT to extract structured insights
Meeting summary
Action items with metadata
Suggested tags based on existing categories
Returns clean structured JSON output
Writes results to Notion
Creates meeting records with summaries and metadata
Creates related action items in a task database
Applies relations to existing Projects Topics and Areas
Implements privacy controls
Deletes audio files after transcription
Deletes transcripts after AI processing
Retains only structured insights in Notion
Technical Requirements
Strong Make.com experience with complex scenarios
Notion API experience including database writes and relations
OpenAI API experience including Whisper and GPT models
Audio file handling including chunking and size limits
Prompt engineering for structured JSON outputs
Robust error handling and retry logic
Environment and Tools
Access to Make.com
Familiarity with macOS audio routing concepts
Webhook triggers and secure file upload workflows
Strong JSON parsing and data transformation skills
Nice to Have
Experience with August Bradley PPV Notion methodology
Google Calendar API experience
Previous AI automation projects
Understanding of NLP and sentiment analysis concepts
Existing Infrastructure
Already available
Notion workspace with meeting task and related databases
Preliminary Make.com automation that needs refactoring
OpenAI and Notion API keys
Needs to be built
Production ready Make.com scenario
Stable error handling and retries
Audio chunking logic
Structured prompt templates
Notion write operations with relations
Privacy compliant cleanup steps
Expected Deliverables
A fully working Make.com scenario
Clear technical documentation explaining the architecture and data flow
Prompt templates used for summarization action items and tagging
A short user guide explaining how to trigger and review outputs
Success Criteria
Audio files upload and process successfully
Transcription works for long meetings
AI summaries are accurate and structured
Action items are correctly created in Notion
Auto tagging aligns with existing databases
Audio and transcripts are deleted after processing
The system can handle a 60 minute meeting end to end
Privacy and Security Requirements
No meeting bots
No permanent audio storage
No transcript retention
API keys stored securely
Authenticated webhook usage
Application Instructions
Please include the following in your application
Experience summary including Make.com and Notion API work
Your technical approach to handling large audio files and errors
Availability and estimated completion timeline
Relevant portfolio or documentation samples
Start your application with the word Automation so we know you reviewed the full posting.
This is a test project only. After successful completion, long term automation tasks and continued collaboration will be available.
We look forward to reviewing your application.
Apply Now
Apply Now