Aware aware.run
Book a workflow review

The operational environment for AI

Your AI should react
when the business changes.

Aware connects AI agents to the operational meaning in your existing systems—so a late shipment, account risk, or new order can trigger the right governed response.

Book a workflow review See how it works
USD 5,000 · two weeks · first three founding partnersCheck availability →

Please do not submit credentials, customer data, or confidential system details when booking.

For teams already putting Agents into operational systems—and still rebuilding business meaning, policy, and audit behavior by hand.

AI shouldn't wait for a prompt.

Reactive operational slice Order fulfillment
Example: order fulfillment
  1. 01
    Source changeShipment ETA +36h
    observed
  2. 02
    MeaningPriority Order #3812 is at risk
    accepted
  3. 03
    Policypriority + delay > 24h + no alternative
    matched
  4. 04
    AgentInspect options and prepare response
    bounded
  5. 05
    HumanApprove / reject
    authority
sourcemeaningpolicyAgentoutcome

Intelligence is not enough

Your Agent is outside
the environment.

A Human notices the change, gathers context, prompts the Agent, checks what it saw, and translates the answer back into work. The model may be intelligent. The operational environment around it is still rebuilt by hand.

Human notices→gathers context→prompts→verifies→translates back

What the model needs is a live, accepted operational environment—one that knows what changed, what it means, who may react, and what happened next.

From change to governed reaction

Agents react to business meaning—not database noise.

Aware preserves your existing system as fact authority, admits the operational meaning your team accepts, and turns exact semantic changes into policy-governed Agent work with a complete causal receipt.

  1. 01Existing system

    Your database remains fact authority.

  2. 02Accepted meaning

    Objects and relations your domain owner approves.

  3. 03Semantic Event

    A business change, not an opaque row or topic.

  4. 04Agent reaction

    A bounded frame with allowed capabilities.

  5. 05Governed action

    Human review or a typed Service boundary.

  6. 06Receipt

    The exact cause, decision, action, and outcome.

CDC detects change

Row 4821: status C → D Useful physical evidence, but your team still reconstructs the business consequence.

Aware admits meaning

Priority order entered fulfillment-at-risk A reviewable semantic Event can meet policy, bound an Agent reaction, and stay connected to its outcome.

Databases already have deltas. The Product distinction is accepted meaning over those changes. Read the full CDC argument

One change worth reacting to

Start where context is expensive and delay matters.

01 / Fulfillment

A late shipment becomes an operational exception.

A source observation changes. Aware resolves the admitted order, customer priority, delay, and available alternatives. Policy selects one Agent reaction. A Human receives a prepared response with the full cause attached.

The first slice stays bounded to one source, one approved operational capability, one meaningful change, one conservative Agent reaction, and one source-to-outcome audit trail.

Sourceshipment.eta+36 hours
Meaningfulfillment-at-riskOrder #3812
Reactionprepare alternativesHuman review
Receiptcause → outcomecorrelated

Founding partners

Bring one workflow. Leave with an exact path to reactive AI.

Founding program

Reactive AI Design Sprint

USD 5,000

In two weeks, turn one high-value operational workflow into an implementation-ready reactive AI blueprint—with its source, business meaning, controls, agent response, and pilot scope made explicit.

DeliveryTwo weeksafter kickoff + evidence access
Payment50 / 50to start / on delivery
Pilot creditFull credittoward an accepted pilot within 90 days
AvailabilityFirst threequalified partners
  • One bounded workflow and source map
  • Approved business objects, relationships, and boundaries
  • The meaningful change and policy that should activate AI
  • Bounded agent context, capabilities, and Human controls
  • Source-to-outcome audit trail
  • Fixed implementation scope, milestones, price, and decision

The sprint is a design partnership that produces an implementation-ready blueprint; it is not a production deployment.

Book your workflow review
After the sprint

Selected implementation pilot

Qualified design partners may continue into a fixed-scope implementation pilot. Scope, milestones, environment, and price are agreed after the sprint.

  1. Connect one approved operational source
  2. Establish the typed business capability
  3. Recognize one meaningful business event
  4. Deliver one policy-bounded agent response
  5. Trace the action and observed outcome
Qualify your workflow

Controlled and inspectable

Give AI operational context without giving up control.

Keep your systems authoritative. Bound every agent reaction by policy. Put Humans in control of sensitive actions. Trace every result back to the change that caused it.

Luis Lechuga Ruiz has spent years building the open-source system behind Aware: semantic packages, graph commits, typed Services, runtime boundaries, and actor-facing Experience.

Explore Trust & Architecture Inspect the open-source work

Systems remain authoritativeAware observes existing sources without replacing their fact authority.

Policy-bounded reactionsAgents receive explicit context and permitted capabilities—not unrestricted access.

Human controlSensitive actions cross a review or typed Service boundary.

Traceable outcomesThe source change, meaning, policy, agent response, and outcome stay connected.

Reference scenario

Home makes an operational environment visible.

The composite shows a projected final World state: Home, Front Door, Living Room TV, and News Channel remain connected as explicit objects and relationships.

Dark Home environment projection connecting the Home, Front Door, Living Room TV, and News Channel objects.
Reference scenarioProjected final World state—not a live runtime receipt.
  1. 01Arrival observeddoor/open event
  2. 02Policy matchedWelcome Home
  3. 03Agent boundedpermitted request
  4. 04TV stateon + channel
  5. 05Causal receiptsource → outcome

Later, Shared Attention lets Humans and Agents coordinate around the same reactive World. Read the thesis

Start with the change

What should your AI react to?

Send one workflow, the system it lives in, the change that matters, and what a safe first reaction would be.

Book a workflow review

Reactive AI Design Sprint · USD 5,000 · two weeks · first three founding partners

Please do not submit credentials, customer data, or confidential system details when booking.

Email [email protected]Trust & ArchitectureDevelopers