Studio98AI

The Problem

Businesses want AI that actually does work — not another chatbot. They need agents that complete end-to-end workflows inside their existing tools (CRM, ClickUp, email, billing), run on schedules, and can be monitored and trusted like staff. Building that per-company from scratch is expensive and unrepeatable.

The goal: a platform where any business gets its own account, imports purpose-built AI agents, and runs them as autonomous digital employees — with the operational layer (scheduling, monitoring, KPIs) that makes agents production-grade rather than a demo.

What I Built

A multi-tenant AI agent platform where agents execute real tasks, not just conversations:

• ▸Agent runtime: each account imports agents from a library (or gets custom-built ones). Agents perform any task a person at a computer could — updating CRMs, managing ClickUp, processing data, handling communications.
• ▸Hundreds of MCP servers, tools, and skills connected to agents, giving them controlled access to the software stack a business already runs.
• ▸Scheduling system: agents run on cron-style schedules and recurring jobs — work happens automatically, not just on request.
• ▸Monitoring & observability: dashboards, KPIs, and performance metrics for every agent, so owners can supervise their AI workforce the way they would supervise a team.
• ▸Webhooks & jobs: agents react to events from external systems in real time.
• ▸Organization boards: businesses structure agents into an org chart — a literal AI workforce view.
• ▸Agent marketplace model: users can build and sell their own agents on the platform.
• ▸Admin panel & multi-tenancy: self-serve account creation, per-account isolation, custom agent provisioning.

Why It's Hard (Architecture Notes)

Most "AI agent" products are a prompt and a chat window. The engineering here is the operational layer: tool orchestration across hundreds of MCP integrations, long-running scheduled executions, failure handling and retries, per-tenant isolation and guardrails, and measurable output (KPIs) — the difference between an AI demo and an AI employee.

Results

• ▸Hundreds of agents live in production, each tracked with its own performance metrics.
• ▸300,000+ agent sessions executed in the last 6 months.
• ▸Live platform with paying business customers — agents handle real operational work daily across CRMs, project management, support, and reporting.
• ▸Foundation for Studio98's AI services business — strategy, custom agent development, and training built around the platform.