Agent Studio
Define capability before granting authority.
Identity, tools, knowledge, runtime capabilities and autonomy boundaries belong to the agent configuration—not to an invisible prompt convention.
Agentic AI platform for governed execution
AI agents that act across your business — under explicit control.
Build and configure agents, coordinate stateful missions, and operate them across approved tools and channels. Createting keeps autonomy, resource scope, approvals and execution evidence connected across the operating layer.
Built for work that can change external systems—not just generate another answer.
Governed
01
Agent Studio
ConfiguredCustomer Operations Agent
CRMBillingBrowserKnowledge
02
Orchestrator
RunningRecover at-risk renewals
3 tasks · 2 workers · 1 dependency
03
Mission Control
Approval requiredCommercial concession
Exact action paused before external effectInteractive product walkthrough
Watch one mission move from intent to governed execution.
Configure the agent, evaluate authority, execute through the right surface, then inspect mission state and evidence.
Action policy
Evaluate the external effect before the action runs.
The runtime describes the proposed action, target and side-effect state, then resolves whether execution can continue, needs approval or must stop.
Execution surface
Use an API when possible. Use browser or computer when work still lives in an interface.
The mission can move across supported execution surfaces without separating the action from the same authority and evidence model.
Mission Control
Operate durable work from state, approvals and evidence.
Mission progress, waiting reasons, outputs and execution references stay attached to the work so operators can inspect what happened and what needs attention.
CCreateting
Customer operations missionResolve disputed invoice and update the account safely.
IN PROGRESSAgent configurationDRAFT
IdentityCustomer Operations Agentconfigured
ResourcesCRM · Billing knowledge · Browserscoped
AutonomyConsequential writes require reviewpolicy
RuntimeBrowser enabled · parallel tools enabledcapability
NextDescribe proposed CRM action
Action policy decisionASK
write_customer_credit · consequential write
Target systemBilling CRMExternal effectAccount balance changesData accessCustomer account + dispute recordDecisionHuman approval required
OP
Approval requestedReview €640 account credit
WAITINGBrowser executionSESSION ACTIVE
1
Open customer accountVerified target account before write
DONE2
Prepare approved creditValue and reason matched approval fingerprint
READY3
Submit changeExecution remains bound to approved action
RUNNINGSurfaceBrowser · controlled external write
Mission ControlON TRACK
Progress75%
Completed3 / 4
Waiting0
Evidence12 events
Execution trace · latest first
Browser action completedApproved account credit submitted
Approval matchedPrepared action fingerprint resumed without replanning
Policy evaluatedExternal financial write · ASK
Objective · Context · Policy · Execution · Evidence
Scroll through the control plane to see how configuration, authority, execution and operations stay connected.
Explore the platform model →CAPABILITIES · PRODUCT SURFACES
The details are part of the product.
Createting connects governance, reasoning, memory, models, tools, browser and computer execution, voice and mission state in one governed agent runtime. The difference is not that these capabilities exist—it is that they stay connected when agents act.
01 · AUTHORITYGive agents freedom without giving up control.
Set what an agent can do automatically, what needs approval, and what stays denied. Authority can be resolved at the action boundary instead of trusting a prompt to behave.
Explore agent governance →02 · OPERATIONSKnow what every mission is doing—and why.
Track progress, waiting reasons, approvals, delegated work, outputs and execution evidence without losing the mission state.
Explore Mission Control →03 · REASONINGAutomate the known path. Reason through the exceptions.
Pathways run rule-based processes. Agents interpret context and do the work. Thinkways live inside agents as reusable reasoning methods. Agent Studio sets autonomy.
Explore Pathways & Thinkways →04 · EXECUTION SURFACEUse the API when you can. Use the interface when you can't.
When reliable APIs stop, enabled browser and computer execution can continue the work inside the same mission, policy and evidence flow.
Explore browser & computer use →05 · CONTEXTAgents remember what matters—without mixing everything together.
Memory can be scoped to the allowed agent, subject and runtime context, with explicit read and write behavior instead of one uncontrolled global history.
Explore agent memory →06 · MODEL LAYERRoute every task to the right model.
Use configured workspace candidates and fallbacks instead of hard-wiring every agent to one provider.
Explore model routing →07 · RUNTIMEOne capability system. Same rules everywhere.
Browser, computer, voice, memory, search, files and other capabilities are explicitly enabled and governed by the runtime—not implied by the prompt.
Explore Agent Runtime →08 · CHANNELVoice isn't a separate bot. It's the same agent system.
A conversation can use the same knowledge, tools, policy checks, approvals, handoff and downstream mission state as other configured channels.
LISTENINGTOOL REQUESTPOLICY CHECKHANDOFF READY
Explore Voice Agents →Mechanisms shown as configured product states—not customer results.Explore the platform model →
Business outcomes
Design agents around completed work—not around another chat response.
Platform model
Agent Studio → Agent Runtime → Orchestrator → Mission Control
Pathways and Thinkways
Use deterministic control where the sequence is known. Add reasoning where the decision genuinely varies.
Pathways — known sequence
Connect predefined steps, conditions, tools and approval gates in a familiar, rule-based workflow.
Thinkways — inside the agent
Structure reasoning inside an agent with reusable work stages, instructions, tools, skills and conditions. Agent Studio sets the agent's autonomy.
Hybrid — compose both
Call sub-pathways and subagents from governed flows so deterministic stages can surround bounded model-led work.
One operating model · multiple execution surfaces
Use the simplest execution surface that can complete the work.
APIs & tools
Prefer explicit interfaces when they exist. Connect approved tools, MCP resources, knowledge and external APIs to the same agent authority model.
Browser & computer
When enabled and available in the target environment, agents can operate interfaces directly where the workflow does not expose the right API.
Voice
When configured for the deployment, connect live customer conversations to business context, permitted tool actions, approvals and contextual human handoff.
Governed execution
Control follows the external effect.
PROPOSED ACTIONupdate_accountCRM · customer record · external write
The runtime evaluates the proposed effect before the external write is allowed to happen.
Action PolicyEVALUATING
ScopeCustomer recordIN SCOPE
EffectExternal writeCONSEQUENTIAL
ConditionHUMAN_APPROVALMATCHED
DecisionASK
Effect paused before execution
BOUND APPROVALExact action snapshot retained for review and controlled resume.
Memory and context
Assemble context for the action—without treating every memory as globally visible.
Tools, integrations and extensibility
Extend what an agent can reach without separating capability from authority.
Security and evidence
Security claims stop at the boundaries the runtime can actually show.
Proof
Inspect the product states, architecture and release trail before the sales call.
Inspect configured product states.
Product examples are labeled as configured states and kept separate from customer results or performance claims.
Explore Agent Studio and Runtime →Read the system model.
Use the docs to inspect platform concepts, runtime boundaries and the contracts behind the visible product surfaces.
Read the architecture →Follow what changed.
Use the changelog to track product changes over time instead of relying on static feature promises.
Read the changelog →PLATFORM FAQ
Questions teams ask before putting agents into production.
Architecture, autonomy, integrations and deployment — answered in the same terms the platform actually uses.
Need a concrete architecture?Assess a workflow →
What is Createting?
Createting is an agentic AI platform for building, configuring, coordinating and operating AI agents across business workflows. It connects Agent Studio, Agent Runtime, the Orchestrator and Mission Control with tools, knowledge, memory and supported execution surfaces such as browser and computer execution, voice and chat, under explicit execution controls and evidence.
How is Createting different from traditional workflow automation?
Createting combines rule-based Pathways with AI agents for work that needs interpretation. Thinkways give those agents reusable reasoning methods and work stages; Agent Studio configures their autonomy. Missions, approvals and operational oversight support coordination across the wider process.
What is Agent Studio?
Agent Studio is the configuration surface for custom agents. Teams can define an agent’s role, instructions, model behavior, tools, knowledge, memory, conditions, capabilities and autonomy boundaries before testing and deployment.
What do the Orchestrator and Mission Control do?
The Orchestrator coordinates goals, missions, agents, tools and execution across multi-step work. Mission Control is the operating surface for observing durable work, progress, traces, approvals and intervention points while that work is running.
What is the difference between Pathways and Thinkways?
Pathways are rule-based workflows with explicit steps, conditions and transitions. Thinkways are reusable reasoning workflows inside AI agents, not agents themselves. Their nodes structure work stages and the instructions, tools and conditions used at each stage. Agent autonomy is configured separately in Agent Studio.
How does Createting control AI agent autonomy?
Autonomy is configured around what an agent is allowed to do, not just whether it is called autonomous. Actions can be permitted, blocked or routed to human approval based on their scope, target, conditions and expected side effects, with states such as ALLOW, ASK and DENY used throughout the operating model.
Which systems and tools can Createting agents connect to?
Agents can be connected to approved business systems through APIs, REST endpoints, webhooks, functions, MCP-compatible integrations and custom tools. The goal is to scope each resource to the agent and workflow that actually needs it rather than giving every agent unrestricted access.
Can Createting agents operate websites and desktop interfaces?
Browser and computer execution can be enabled for workflows where a reliable API is unavailable or incomplete. Availability depends on the configured environment and target workflow. When used, those sessions can remain part of the same mission, approval and evidence flow instead of becoming a separate automation layer.
Does Createting support voice and chat agents?
Yes. Createting is not a voice-only platform. Voice and chat can be used as interaction channels for agents while the underlying tools, knowledge, policies, mission state and handoff logic remain connected to the broader agentic platform.
How do knowledge bases and memory fit into the platform?
Knowledge bases provide approved source context that agents can retrieve during work. Memory can preserve relevant context or state where it is configured. Both are treated as controlled resources and should complement, not replace, authoritative business systems and records.
How does Createting handle security, approvals and auditability?
Createting implements scoped resources, tenant-scoped runtime context, explicit action authority, human approval gates and execution evidence. These are implementation controls, not a compliance certification. Consequential actions can be paused before an external effect occurs, reviewed by an operator and then resumed or denied according to policy.
How does Createting pricing and deployment work?
The right commercial and deployment model depends on workload volume, models, channels, integrations, support requirements and infrastructure constraints. The platform, implementation consulting, and private or hybrid model infrastructure are separate decisions so teams can scope only what the workflow requires.
What is the best way to start with Createting?
Start with one concrete workflow. Map its repeatability, systems, decisions, risks and approval boundaries first; then determine whether the best architecture is a deterministic Pathway, an agent, a durable mission or a hybrid. The workflow assessment is designed for exactly this first step.
Start with one workflow
Decide where an agent should act — and where it should not.
Map value, systems, action risk and approval boundaries before committing to a larger agent rollout.