Commercial HAI offers

Human Agent Interface Products

I turn messy AI work into scoped, controllable systems humans can actually own.

Book the 4h HAI Setup 500-1,500 EUR depending on scope

Four real offers

Pick the product that matches the shape of your agentic problem.

The first commercial wedge is the 4h setup. The other offers are concrete directions for deeper system work once the current workflow, risk, and ownership problem is visible.

Offer 01 / Paid setup

Personal HAI Audit

A 4h teardown and rebuild of how you currently work with agents.

Who it is for

Founders, builders, developers, and operators already using Claude Code, Codex, Cursor, Cline, Aider, or similar agentic tools.

Problem it solves

You have momentum, but the work fragments into chats, half-plans, unclear decisions, and agent output you do not fully own.

What happens

We inspect the current workflow, identify failure points, separate human decisions from delegable work, and redesign the next agent loop.

Deliverables

  • Workflow diagnosis
  • Rewritten next-action packet
  • Tool/setup changes to make immediately
  • Risks, limits, and stop rules
Offer 02 / Build the system

Agentic System Setup

A practical setup for people who need a working harness, not another AI strategy note.

Who it is for

Technical founders, small teams, and serious individual builders who want repeatable agentic work across projects.

Problem it solves

Your tools can run, but the operating system around them is missing: roles, permissions, artifacts, verification, and handoff.

What happens

We design the minimum agentic operating loop, configure role boundaries, and define how work moves from request to execution to verification.

Deliverables

  • Agent role map
  • Bounded execution workflow
  • Verifier path and definition of done
  • Handoff packet for repeated use
Offer 03 / Prototype-backed layer

Sidecar / Sidecar-NG

A watcher and downscope layer for long, risky, or overloaded human-agent sessions.

Who it is for

Heavy agent users who lose focus, over-delegate, miss stop points, or need a second system watching the collaboration itself.

Problem it solves

The main agent optimizes for doing work. Sidecar watches the interaction: scope, overload, drift, verification gaps, and human decision points.

What happens

We map where your sessions fail and decide whether a Sidecar-style watcher, prompt layer, or workflow rule set is the right intervention.

Deliverables

  • Sidecar-fit assessment
  • Watcher rules or prompt layer
  • Downscope triggers and intervention points
  • Prototype path if a custom layer is worth building
Offer 04 / Team architecture

Adminspace / Userspace

Separate productive agent use from governance, review, permissions, and system evolution.

Who it is for

Companies and technical teams where multiple people or agents touch the same workflows, repositories, or operational decisions.

Problem it solves

Teams blur user work, admin work, security decisions, prompt changes, review, and tool access until no one owns the risk.

What happens

We draw the boundary between userspace and adminspace, then define who can change agents, approve work, inspect evidence, and stop runs.

Deliverables

  • Userspace/adminspace separation map
  • Permission and review model
  • Governance and escalation gates
  • Next pilot slice for a real team workflow

First commercial step

Start with one paid 4h setup. Not a vague AI chat.

You bring one real agentic workflow problem, not a hypothetical transformation program.

We leave with a concrete setup, packet, boundary model, or decision about what not to build.

The work is honest about limits: model quality, human ownership, and problem fit still matter.

FAQ

Commercially clear, technically honest.

HAI is early, but not vague. The first sale is a setup session. The deeper products grow from real workflow evidence.

Is this consulting or software?

Today, the first offer is a paid setup and audit. Some parts are software-backed, especially Sidecar-NG and evaluation work, but the sale starts with the human workflow.

Who is this for?

People already working with agents who feel the cost of unclear scope, context drift, weak verification, too many threads, or tool setups that do not fit how they think.

What do I get after 4 hours?

A diagnosis of the current setup, concrete workflow changes, a next-action packet, and a clearer boundary between human decisions and agent-executable work.

Is Sidecar-NG a product or a prototype?

It is prototype-backed product direction. The benchmark result is internal evidence, not an audited market claim. The setup decides whether a watcher layer fits your case.

Can this work for a company/team?

Yes, but the team version starts by mapping userspace, adminspace, ownership, review, permissions, and stop rules before any larger rollout.