Palmos AI

Palmos AI is a B2B automation platform focused on turning AI agents into autonomous work-delivery operators, not just chatbots.

The core product lets a user give Palmos a business goal. Palmos assembles the right AI team, starts the work, and autonomously returns deliverables that a human can review, approve, revise, download, or turn into recurring automation.

Product Direction

Palmos is designed for B2B teams that need work completed across sales, sourcing, recruiting, marketing, research, and operations. The product model is built around agent teams, connected tools, business context, and human review.

Instead of a single generic assistant, Palmos coordinates specialist agents that can research companies, qualify leads, draft outreach, prepare campaign assets, create reports, and package work into structured deliveries.

What I Built

• A full-stack web app for agent teams, inboxes, deliveries, automations, integrations, billing, and workspace settings.
• A business-facing landing and case study system for explaining Palmos workflows across use cases.
• Reviewable delivery flows where outputs arrive as files, records, notes, and approval states.
• Pricing, subscription, credit, and managed-service concepts for operating AI work at business scale.
• Cross-platform foundations using the Palmos web app with mobile and desktop shells.

Go-To-Market Work

Alongside product engineering, I built lead-generation and enrichment workflows for Palmos AI. The local Palmos AI outreach repo includes scripts and data pipelines for screening public company lists, generating potential customer lists, and enriching contacts for targeted B2B outreach.

Architecture

Palmos combines a Next.js full-stack app, API routes, Prisma-backed data, agent logic, billing, auth, RAG, and workflow execution. The broader project also includes a client monorepo with web, mobile, desktop, shared assets, and documentation surfaces.