CLI commands
TUI terminal
GUI screens
HAI agency

For people stuck inside agent threads

AI work should create momentum. For most people, it creates confusion.

HAI turns messy AI work into a safe, scoped, agent-ready next action.

Talk to Samuel See products Human Fit Where HAI comes from Samuel's work

The customer pain

AI work creates more confusion than momentum.

You start with an idea, open three chats, ask for a plan, launch an agent, paste context into another tool, then lose the thread. The output is not wrong. It is just not owned.

HAI exists for that moment: when the human state is messy, the agents are loud, and the next responsible action is not obvious.

Humans are tool-using animals. Agents are the most powerful tool we have ever built.

Voice, text, drawing, terminal, IDE, browser, or background process are only surfaces. The real interface is how the human directs, scopes, verifies, and stays aligned with a system that can act.

Why trust this work

HAI comes from lived agent practice, not branding.

Samuel has worked inside agent systems long enough to hit the real failure mode: more agents, more output, more dashboards, and less human ownership.

The product unit is a conversion

From scattered agent work to one concrete packet.

Before HAI

Messy human state

  • An idea with no shape.
  • A stuck project with unclear ownership.
  • Too many agent threads competing for attention.
  • No trusted next step.
After HAI

Agent-ready next action

  • The problem type is named.
  • Human decisions stay with the human.
  • Agent work is bounded and verifiable.
  • The next packet of work is concrete.

The interface shift

GUI gave us control over screens. HAI gives us control over agency.

CLI Tell the machine what to run.
GUI Point at what the software exposes.
HAI Shape what an agent should do next.

The minimum loop

A human-owned path into agentic work.

01

Intake

Capture the messy state without pretending it is already a task.

02

Classify

Name what this is: decision, research, build, repair, or human-only.

03

Separate

Keep judgment, risk, and irreversible choices with the human.

04

Scope

Bound the agent work so it can be executed and checked.

05

Packet

Produce the next concrete action the agent can actually take.

Talk to Samuel

Bring one messy agent workflow.

Show me one agent workflow that currently creates confusion. Leave with the next concrete packet of work: what this is, what an agent should do, what you must decide yourself, and what happens next.

Bring one messy agent workflow