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I built an inbound sales automation flow that enriches and scores leads before CRM progression. The workflow pulls company context, updates HubSpot records, and applies intent checks so low-quality leads do not inflate pipeline stages.
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Did a motion for the Cockpit concept ⁕ 🔈 ON
Design & Creative Direction: Me
Motion & Sound: Claude Code
Cockpit is an AI agent management platform concept that helps teams:
- Set boundaries
- Monitor activity
- Manage approvals
- Track knowledge sources
- Measure performance and costs
It brings together five key AI UX challenges:
👉 Autonomy
👉 Observability
👉 Human Approvals
👉 Context
👉 Analytics
The idea is simple:
As AI agents become more capable, the experiences we design around them need to make their actions more transparent, predictable, and manageable.
Thanks!
Human approvals is the part most agent UIs skip. Good call making it one of the five challenges.
Your Business Doesn't Need More Tools. It Needs Better Systems.
Most businesses don't have a software problem. They have an integration problem.
Their CRM is disconnected from their database. Their spreadsheets require manual updates. Their reports take hours to prepare. Their teams waste valuable time moving information between platforms.
That's where I come in.
I'm a Full-Stack AI Engineer specializing in building connected, intelligent business systems.
What I can build for your business:
CRM & ERP Integrations — Connect business platforms, databases, and third-party services through APIs.
Workflow Automation — Eliminate repetitive processes with intelligent automation.
Custom Dashboards — Turn scattered business data into actionable insights.
Data Pipelines — Build reliable systems for collecting, processing, validating, and synchronizing data.
AI-Powered Solutions — Integrate LLMs, intelligent agents, and automation into existing workflows.
Custom Software — Build complete web applications and business platforms from architecture to deployment.
I've independently developed complex digital platforms, including government-level systems, international applications, and AI-powered products.
My approach is simple:
Understand the business problem. Design the right architecture. Build the complete solution. Make it reliable.
I'm interested in working with founders, agencies, and businesses looking to modernize their operations and build software that actually solves problems.
Have a complex workflow or an integration challenge? Let's build something that works.
#FullStackDevelopment #AIAutomation #CRMIntegration #WorkflowAutomation #SoftwareEngineering #AIEngineering #Contra
When a CRM-to-database sync fails halfway, how do you handle it: idempotent retries, or a reconciliation pass afterward? That's usually where integrations start to drift.
Resolve: an AI support agent that answers from a company’s own policies, looks up orders, and escalates weak matches to a human instead of guessing. A human approves replies before they go out.
Live demo: support-resolver.vercel.app
For the human approval step, I'd show the exact policy passage and its effective date beside the draft. Does Resolve flag a reply for re-review if the policy changes while it waits for approval?