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ALOS (AL Operating System) is a private internal operations platform built to centralize projects, AI agents, approvals, reporting, and execution into one secure workspace.
It is designed to help founders manage products, engineering, operations, security, documentation, and business workflows from a single command center.
Current platform foundations include:
• Executive command dashboard
• Project management
• AI agent management
• Human approval workflows
• Role-based permissions
• Multi-tenant architecture
• Authentication
• Audit logging foundation
• Scheduled task management
• Reporting foundation
• Security management foundation
• Operational monitoring
• Workflow orchestration
• Knowledge management
• Team collaboration foundation
Technology stack includes Next.js, React, TypeScript, Tailwind CSS, Node.js, Supabase, PostgreSQL, Row-Level Security (RLS), OpenAI, GitHub, Slack, Vercel, webhooks, scheduled jobs, and secure authentication.
Status: Private Internal Platform
Developed as the operational backbone for managing multiple AI products and business systems from a unified interface.
The network for creativity
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From screens to experience. ✨
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From lab testing and biomarker insights to AI-powered health guidance, every interaction was designed around one idea:
Make health data easier to understand.
Wonderfull!
AI agents shouldn’t exist just because AI is trending.
They should exist because a business owner has a real problem that needs solving.
A customer calls after business hours.
Nobody answers.
The customer moves on to a competitor.
A lead comes in through a website.
Nobody follows up quickly.
The lead goes cold.
A team spends hours every week copying information between tools.
That time could have been spent growing the business.
This is where I’m focusing my work:
Building AI agents that solve real operational problems for businesses.
For example, an AI receptionist can:
→ Answer calls 24/7
→ Handle common customer questions
→ Qualify leads
→ Book appointments directly into a calendar
→ Transfer important calls to a human
→ Send follow-ups and call summaries automatically
The goal isn’t to replace people.
It’s to remove repetitive work and make sure valuable customers don’t get lost because nobody was available at the right moment.
I’m currently building and testing AI agent systems for businesses, with a focus on practical automation, measurable outcomes, and real-world workflows.
If you’re a business owner dealing with missed calls, repetitive tasks, or slow lead follow-ups, I’d be interested in hearing about the problem you’re dealing with.
Tell me the problem. I’ll figure out whether an AI agent can actually solve it.
Say goodbye to context-switching fatigue👋
Bretford unifies candidate pipelines, automated email sequences, and live interview transcripts into one clean interface. Explore the full case study to see how we designed a calmer, faster hiring workflow for modern recruitment teams.
Tap the case study to explore the full layout, workflows, and interaction breakdown below!
➡️ Check it out
