Agentologist — Building AI Agent Teams That Actually Work

We're launching a platform that lets companies deploy specialized AI agent teams (content, web design, sales, marketing) to handle complex workflows end-to-end. Think of it as "fractional AI teams" — autonomous, scalable, and tailored to your business.

We're weeks away from beta and actively building the team. If you're a strong Python/GCP engineer interested in equity + part-time code review work, let's talk.

The Problem

Most AI automation today is one-off chatbots or narrow task runners. But real business workflows are complex, multi-step, and require specialized reasoning across different domains.

• Content teams need research → draft → edit → publish workflows

• Design teams need brief → mockups → revisions → handoff

• Sales teams need lead research → outreach → follow-up sequences

Current tools force you to stitch together multiple AI calls, manage state manually, and babysit the process. It's fragile and expensive at scale.

What We're Building

Agentologist is a platform where you define AI agent teams once, then deploy them to handle entire workflows autonomously.

Architecture:

• Agent Studio — Build custom agent teams with roles, skills, tools, and workflow logic (no code required)

• Execution Engine — Multi-agent orchestration on Vertex AI. Routes work to the right agent, enforces quality gates, handles handoffs

• Client Dashboard — Real-time artifact review, intervention points, revision tracking

Stack: Python/FastAPI microservices on Google Cloud (Cloud SQL + Firestore), multi-tenant SaaS architecture.

Where We Are

• ✅ Core orchestration engine built (workflow state machine, multi-agent routing)

• ✅ Agent Studio MVP (build agents, define skills, create workflows)

• ✅ First client workflow live (13-state content campaign)

• 🔄 Beta launch: 2-3 weeks

• 🎯 Recruiting: Part-time code reviewer, full-time AI engineer

We're Hiring

Part-Time Code Reviewer / PR Architect (Equity + Retainer)

• Senior Python/FastAPI + GCP expertise

• Can review PRs for architectural compliance, multi-service interactions, data consistency

• 5-10 hours/week

• Equity stake + modest cash retainer

Full-Time AI Engineer (Python/GCP, Vertex AI, Multi-Agent Orchestration)

• Build next-generation team types (web design, sales, marketing)

• Optimize LLM fine-tuning and prompt engineering

• Scale execution engine to 100+ concurrent workflows

If either role resonates, reply here or DM me.

Why Join Early

• Interesting problem space — Multi-agent orchestration is the frontier of AI automation

• Real revenue potential — Enterprise workflows that companies will pay for

• Strong technical foundation — Clean architecture, immutable principles, team that values code quality

• Equity upside — Early stage, meaningful stake

What We'd Love

• Feedback on the vision

• Early adopter companies (we're onboarding a few for beta)

• Technical talent who care about systems design and LLM orchestration