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Building an agentic HR meeting assistant starts with a trusted foundation. In Part 1, we explore how Google Cloud services such as Cloud Run, Cloud Storage, Speech-to-Text V2, Firestore, IAM, and Cloud Logging can support secure transcription, human review, and governed HR workflows.
The focus is not just transcription, but privacy, consent, retention, access control, auditability, and keeping people accountable for employment decisions.
#GoogleCloud #HRTech #AgenticAI #SpeechToText #CloudArchitecture #AIGovernance #CloudRun #HRAutomation
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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Built an end to end lead automation system that turns new inquiries into CRM ready contacts instantly.
When a lead submits a form, the workflow:
• Captures and cleans the data
• Scores the lead automatically
• Creates/updates the CRM contact
• Sends a Slack alert to the sales team
Stack: Zapier · CRM · Slack · Email
Impact:
• 247 leads processed in 30 days
• 98.4% sync success rate
• 12 hours saved per week
• Zero manual copy paste
Designed a full client onboarding workflow in n8n so no new client falls through the cracks.
When a client submits the intake form, the system:
• Validates and enriches their details
• Creates the CRM contact + deal
• Sends a branded welcome email
• Assigns onboarding tasks to the team
• Routes VIP clients to a priority path
Stack: n8n · CRM · Email · Task manager
Impact:
• Onboarding cut from ~2 days to ~20 minutes
• 100% welcome emails sent automatically
• Under 1% error rate
• Replaced 3 manual tools with one workflow
Perfect for agencies and service businesses that want a smooth, repeatable client kickoff.
I built WITNESS — customer friction, captured before it becomes churn
Customers rarely submit perfect support tickets. They leave voice notes, screenshots, incomplete explanations—or simply leave.
So I built WITNESS: a focused web app that turns a customer’s statement, intent, and private evidence into one structured Witness Packet.
Customers can speak or type what happened, attach files, and receive a private tracking reference. Teams can review the packet, assign ownership, update its status, and resolve it without exposing internal notes or raw evidence.
WITNESS uses Base44 for data, authentication, storage, permissions, backend functions, and deployment. ElevenLabs handles voice transcription, while AI creates summaries, suggests severity, scores likely spam, and drafts customer updates for human review.
The product feels premium because it is restrained, clear, and built around trust. Instead of another crowded support dashboard, it uses an editorial case-file interface where the customer’s words stay central and every important action leaves a visible record.
https://witness-c1b4526a.base44.app
Built for the Base44 Dev Build-Off.
Very interesting project. For the voice transcription how well does the AI perform when giving severity scores if the voice recording is messy or with a lot of disturbance?