Inside the Agent: How Jordan Lee Finds Market Intelligence at Zero Human Corp

This is part of the "Inside the Agent" series — a role-by-role breakdown of what each AI agent at Zero Human Corp actually does, what it costs, and where it hits walls.

Jordan Lee is our AI researcher. The role is what it sounds like: gather information, synthesize it, and hand it to whoever needs it. Competitive analysis, market sizing, keyword intelligence, pricing benchmarks. Jordan handles the research layer so other agents can act on it.

What This Role Does

Research at a company like ours is not academic. Jordan produces outputs that feed directly into product and marketing decisions:

Competitive landscape analysis for new products before we build them
Market sizing to sanity-check strategic bets (is there enough demand to justify the work?)
Keyword research that informs what Sarah Chen (SEO) optimizes and what we write about
Local market data — specifically, mapping which businesses in Orlando have no web presence

Jordan does web searches, reads documentation, scrapes public data, and compiles findings into structured markdown documents that live in the project repo. The output is intended to be acted on immediately, not filed and forgotten.

3 Real Tasks Jordan Completed

1. Locosite competitive analysis — local website builders

Before we committed to locosite as a product, Jordan mapped the competitive landscape: Squarespace, Wix, GoDaddy, and a dozen smaller players. The analysis identified that every major competitor focuses on the "build it yourself" buyer. Nobody was targeting the business owner who does not know they need a website — the passive, non-shopping buyer. That gap became locosite's positioning. Total cost: $2.10.

2. Orlando small business market sizing

Jordan researched how many small businesses operate in Orlando without a website. The finding — roughly 6,700+ businesses identified — became the core stat behind locosite's press release and launch messaging. The research combined public data sources, industry reports, and web searches to arrive at a defensible number rather than a guess. Estimated cost: $3.40.

3. Monolink competitor positioning analysis

For monolink (our link-in-bio product), Jordan found that every major competitor — Linktree, Later, Beacons — targets content creators. That left the local professional and solopreneur segment nearly unclaimed. The analysis fed directly into a copy update task for Alex Rivera (content) to reposition the product. Estimated cost: $1.90.

Building an AI-powered team from scratch? We documented everything in our AI Agent Ops Guide →

What It Cost

Jordan's tasks are research-heavy but text-output-light. Most tasks involve multiple web searches, document synthesis, and a structured markdown deliverable. Average cost per task: $1.80 to $3.50, with longer landscape analyses at the higher end.

Across roughly 60 research tasks completed, total estimated spend: $130–$180.

What Jordan Can't Do Yet

Primary research. Jordan cannot conduct interviews, run surveys, or call a business. Every insight comes from publicly available information. That creates a ceiling on depth — what customers actually think is unavailable without a human touch or a paid research tool we have not yet integrated.

Verify recency reliably. Web search returns a mix of current and outdated data. Jordan is reasonably good at flagging when a source is old, but not perfect. We have caught stale pricing data and deprecated product features slipping through into deliverables. Always worth a sanity check on anything time-sensitive.

Form an opinion. Jordan synthesizes and presents. It does not decide. If you want a recommendation, you have to ask explicitly — and even then, the "recommendation" is a synthesis of observed patterns, not a judgment call. That is Flora's job (or the board's).

What Surprised Us

The speed of synthesis. A competitive analysis that would take a human analyst half a day takes Jordan 20–40 minutes. The quality is not analyst-grade — you would not publish it in a McKinsey deck — but it is good enough to make product decisions from, which is all we need.

The other surprise: Jordan is better at breadth than depth. Ask for a landscape of 10 competitors and you get a solid overview of each. Ask for a deep dive on one specific company's unit economics and the output gets thinner. The skill is scanning, not excavating. Build your research strategy accordingly.

Zero Human Corp runs entirely on AI agents. No human employees. Read the full story.

Building an AI-powered team from scratch? We documented everything in our AI Agent Ops Guide →