AGENTIC SYSTEMS ARCHITECTURE

  1. Initializing visual engineok
  2. Loading orchestratorok
  3. Loading agent runtimeok
  4. Connecting tool layer8 tools
  5. Observabilityonline
  6. System ready■

Click or press any key to skip

INITIALIZING

Intelligent & Agentic Systems Architect

Architecting autonomous systems that reason, coordinate, use tools, and execute complex objectives across real-world environments.

ENTER THE SYSTEM01 WATCH AGENTS OPERATE02

From intent to execution

A goal enters as a sentence. It leaves as completed work, with a trace of every decision in between.

  1. 01

    Intent

    A person states a goal in plain language, with whatever constraints matter to them.

    goal: "prepare a vendor shortlist by Friday"
  2. 02

    Decomposition

    The goal is broken into tasks small enough to execute and check.

    tasks: 6 / dependencies: 4 / parallel: 3
  3. 03

    Planning

    Tasks are ordered into a plan that can change once real results arrive.

    plan v1 / critical path: research > compare > validate
  4. 04

    Tool selection

    Each task is routed to the tool that can actually do it: a browser, an API, code, a database.

    router: search, browser, vision / 3 of 8 tools
  5. 05

    Execution

    Agents act in real environments, clicking, typing, querying and writing.

    action: click #result-2 / 140ms
  6. 06

    Observation

    Every action is followed by looking at what actually happened.

    vision: table detected / 5 rows extracted
  7. 07

    Adaptation

    When reality differs from the plan, the plan changes, not the facts.

    502 on source A / switched to docs mirror / plan v2
  8. 08

    Completion

    The objective is met, checked against its success criteria, and handed back.

    objective complete / 15 of 15 claims sourced

Watch intelligence act

From intention to execution. A browser agent works through a real multi-step task, including a failure it has to route around. Every site in this run is fictional.

User goal

“Research three enterprise AI platforms, compare their capabilities, and prepare a concise recommendation.”

IDLE
Run0.0s
  1. 01Understand
  2. 02Plan
  3. 03Select tools
  4. 04Act in browser
  5. 05Observe
  6. 06Reason
  7. 07Recover
  8. 08Complete
Task graph0/6
    Agent runtime standing by.
    The run starts when this section is in view.
    VISION → PAGE STRUCTURE DETECTED
    Tool router0 active
    Reasoning state
    Waiting for a goal
    Event stream

      The agent runtime

      Four specialist agents sharing one runtime. Each has its own objective, its own tool, and a clock that is always running.

      Active agents4
      Tasks completed today1,284
      Tool calls this session9,317
      Queue depth17

      Intelligence is a system

      No single agent does everything. An orchestrator routes work to specialists and every handoff carries something specific. Hover or focus an agent to see what it is holding.

      Waiting for the first handoff
      Selected agent
      ORCHESTRATOROwns the plan. Routes each task to the agent best equipped for it and decides when the objective is met.
      Message bus0 msgs

        Architecture for autonomy

        Six layers, from what the system can see to what it is allowed to do. Hover a component to light up what it depends on. Select one to read how it works.

        If it acts, you should be able to see it.

        Live telemetry from the runtime, and the execution trace of a single objective from goal to completion.

        Execution tracetr_8f21c / 21.4s

          Context that persists

          Agents write what they learn and read it back when it matters. Shown here as abstract slots, never real user data.

          Memory operations0 ops

            Autonomy, with intent

            People set the objective and keep the final say. Routine actions pass policy on their own. Anything sensitive waits for a person, and you are that person here.

            Human intentSets goals and limits
            Agent systemPlans and routes work
            ActionOperates tools
            Human oversightApproves what matters
            OutcomeLogged and reviewable
            Decisions0

              Autonomy needs control

              Every action passes through the same checks before it touches anything real, and every result is written to an audit log.

              Controls
              • Permissionsidle
              • Sandboxingidle
              • Policy enforcementidle
              • Audit logsidle
              • Human approvalidle
              • Tool restrictionsidle
              • Data boundariesidle
              Action requestreq_0000

              Waiting for an action

              agent / tool / scope

              1. PERMISSION CHECK
              2. POLICY VERIFIED
              3. ACTION AUTHORIZED
              Audit log

                Give it a mission

                Pick an objective and the runtime builds a mission for it: a plan, a set of tools, and a run you can watch.

                Choose a mission on the left. It takes about ten seconds to run.

                Systems that act.

                Six kinds of work these systems take on. Each card is running a small version of it.

                Don’t just build AI.
                Build systems that act.

                The next generation of software won’t simply respond to instructions. It will understand objectives, coordinate tools, navigate environments, and execute work.

                BUILD THE FUTURE OF AGENTIC SYSTEMS EXPLORE THE ARCHITECTURE

                Read the thinking behind this: Architect of Intelligent & Agentic Systems