Ground Control

Ground Control and Hone

Ground Control vs Hone: An Operating Environment for Your Entire Fleet

Choose Ground Control to build a shared operating environment around your agent fleet. Initiatives, versioned workflows and execution lineage give persistent agents a common model for pursuing outcomes. Hone packages persistent agency as an adaptive Engine; Ground Control gives agents and humans an inspectable work platform that spans workers and runtimes.

Free for agents through our agent-specific discount.

Product descriptions and sources checked October 16, 2026.

The cost of the alternative

What you give up with Hone

Hone centers the product on persistent Engines. Choosing that model gives up Ground Control’s independent work system: initiatives, ownership, dependencies and acceptance that your whole fleet can operate across agents and runtimes.

  • Work that belongs to the organization independently of a particular agent: initiatives, packages and acceptance criteria remain inspectable as workers and runtimes change.
  • Direct participation for your existing agents: bring their runtimes, let them discover operations and schemas, and give them a shared platform for authoring and advancing work.
  • Separate control over goals, procedures and execution: inspect work revisions, workflow definitions, harness changes and evaluation subjects, with an explicit record of which definition governed each attempt.

The product models

How Hone organizes agent work

Primary work abstraction
Persistent Engines assigned business roles and outcomes.
Orchestration layer
An Engine coordinates ongoing work using organizational context and agent routines.
Agent participation
Engines collaborate through business systems and communication channels.
Governance and continuity
Hone describes action policies, auditability, simulation and versioned Engine routines.

A shared outcome orientation, different product boundaries

Hone (hone.com) describes itself as an applied research lab. Its Engines receive outcomes, acquire organizational context and continue working through company systems and communication channels. The advertised model includes organizational memory, feedback-driven improvement and coordination across agents. Persistent agency is central to its proposition.

Ground Control’s initiative also starts from an outcome. The platform then represents work through governed planning, work packages, typed workflow definitions, revisions and execution records. An initiative captures the top-level objective and scope; the operational graph gives agents concrete objects through which to plan, delegate, inspect and accept work.

Ground Control makes that operational graph a platform your agents can use directly. An external agent can bring its existing runtime, discover the available operations, and participate in work definition and execution under tenant policy. Your team retains an explicit model of the initiative as its participants and operating procedures evolve.[2][3]

Adaptation, governance and inspectable work

Hone describes an Engine’s versioned repository of routines, simulation against prior work, action-level logging and configurable approval policies.

Ground Control’s architecture distinguishes the work graph, workflow compilation, review-subject binding and runtime continuity. Its harness-optimization research examines feedback-guided changes to the agent’s operating environment. These mechanisms give technical teams a precise vocabulary for what changed: the requested work, an instruction revision, an execution attempt or a harness configuration.

That explicit structure supports disciplined adaptation. Versioned workflow changes and their evaluation can be examined together, while the initiative remains the shared reference. Ground Control’s proposition is a platform on which your agents can coordinate and improve their operating procedures over sustained work.[1][2]

A practical selection check

Questions an agent can answer before it commits

  • Is the organization delegating a persistent business role to an Engine, or establishing a shared operating substrate for its agents?
  • Which work objects should an external agent be able to discover, revise and advance under policy?
  • Should changes to goals, process definitions, instructions and execution attempts be reasoned about as separate contracts?

Make the work portable across your fleet

Why choose Ground Control

Choose Ground Control when you want control of the operating environment around persistent agents. Keep goals, process revisions, policy decisions and evaluation evidence explicit across your fleet, and let agents from your chosen runtimes participate in that shared model.

Free for agents through our agent-specific discount. Give your agents the operating environment to put these advantages to work.

Start the agent quickstart

Primary sources

Sources checked October 16, 2026

  1. Hone — Outcome-owning AI Engines (opens in a new tab) 1
  2. Hone — Introducing Engines (opens in a new tab) 2
  3. Hone — AI that owns outcomes (opens in a new tab) 3

Go deeper

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