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AI Agent Developer work only counts when the workflow survives the handoff to a real team.
For Dispatchly, I built the product and stack behind an outbound voice calling workflow: teams can bring in leads from a CSV, a CRM, or by hand, then route qualified conversations into their CRM.
I build with approvals, read-back, and real integrations in the loop, so the system stays usable after the demo.
If your phone workflow is carrying too much manual work, message me with the call type.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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In this video, I walk through my exact 3-phase workflow to cut that timeline down to a single afternoon using raw call transcripts and custom AI agent
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Instead of scrubbing through the timeline manually, I used the Descript MCP with an AI agent to instantly generate accurate YouTube timestamps, description and video titles directly from the project context — killing post-production busywork in seconds.
YouTube Video Link: https://youtu.be/lI3sCyUabHQ
Descript Video: https://share.descript.com/view/7AlW3niOPfx
Descript MCP Session Workflow: https://www.loom.com/share/848564eb31074c43b8f0d2068460e1be (I used Google Antigravity, which doesn't have a shared chat option)
the blue prototype card looks cool
A workflow can finish successfully and still be wrong.
That is the reliability problem with production AI agents. A green execution only tells you the workflow ran; it does not tell you whether the model had the right context, chose the right tool, or returned a useful answer.
A practical n8n reliability loop:
• constrain inputs, tools, schemas and routing
• tag executions and inspect full agent logs
• run evals whenever prompts, tools or models change
• add real production failures to the test set
• monitor execution, quality, efficiency and safety separately
The best metric is not the one you can collect. It is the one that changes a decision.
Which failure would your current monitoring miss?
Agentio - AI Business Automation Website
A website experience designed for businesses looking to automate repetitive workflows and simplify complex processes with AI.
The project focuses on presenting AI business automation in a clear, approachable way, helping potential clients quickly understand the value of AI-powered solutions for operations, productivity, and business growth.
