AI agents can act across your entire delivery stack. But when the path is undefined, they decide what to inspect, which commands to try, how to deploy, and when the job is done. Poiera gives every change an approved path, limited authority, and explicit success criteria.
$ poiera inspect
--intent "add ticket escalation"
→ relevant contract, code and constraints selected
03$ poiera plan --environment preview
04✓ exact actions ready for human approval
API CONTRACTmatched
ACCESS RULESenforced
BACKENDhealthy
INTERFACESreachable
raw logs by referenceMost agents are not following a complete procedure you defined. Under human supervision, they inspect the environment and assemble that procedure while they work: selecting tools, inferring commands, retrying failures, choosing deployment steps, and deciding what counts as success.
That improvisation is easy to miss when the result looks correct. But as teams delegate larger changes, it makes execution harder to predict, review, reproduce, and trust. It also creates the exploration, failed attempts, elapsed time, and token cost that accumulate behind every successful run.
Poiera does not make the agent less capable. It makes the assignment precise. For each change, it defines the application knowledge the agent receives, the actions and environment it may use, the exact plan a person approves, and the checks that determine completion. Inside that boundary, the agent can move quickly. Outside it, the agent has no authority to improvise.
The application contract gives the agent only the resources, operations, policies, events, environments, and implementation references relevant to the task. Context becomes deliberate rather than whatever the agent happens to find.
TASK-RELEVANT CONTEXTDrivers encode valid actions for connected tools and environments. Poiera composes them into an exact plan that exposes affected systems, order, cost, migration risk, rollout, rollback, and checks before execution begins.
VISIBLE · REVIEWABLE · IMMUTABLEThe agent receives short-lived authority bound to one application, environment, action set, time window, and approved plan. A different action or changed plan requires a new decision instead of silent improvisation.
SCOPED · EXPIRES · AUDITEDSuccess criteria are declared before execution. Poiera checks the running application and records what passed, failed, and changed—ending the task with evidence rather than the agent’s own interpretation of completion.
CHECKS · RESULTS · EVIDENCEDescribe the application change in product terms: what should become possible or behave differently?
Poiera selects the context, environment, allowed actions, constraints, and success conditions for this task.
A person reviews the exact path, affected systems, migration risk, cost, rollout, and rollback.
Temporary, plan-bound authority lets the agent complete the approved work without step-by-step supervision.
Declared checks run against the deployed application and leave a compact, readable record.
Drivers capture how backend platforms, interface systems, CI services, and cloud runtimes perform specific actions. Poiera gives the agent those known actions at the right time, translates one approved application change into concrete work, and returns the result. Tool knowledge becomes reusable infrastructure instead of disposable conversation context.
Each project stands on its own and solves a clear problem. Together, they show a larger possibility: define what an application means, make that meaning available through every interface, and let an agent evolve it through a controlled release.
Assemble the backend services an application needs.
Theatora models capabilities such as identity, data, storage, messaging, workflows, policy and observability. Each capability can be connected to interchangeable providers and runtimes instead of being hard-wired to one vendor.
backend modules + provider bindings + runtimeDefine an operation once, then expose it through several interfaces.
Rhyzora describes an operation’s inputs, outputs, errors, authorization and interaction rules independently of its visual presentation. It then projects that meaning into CLI, TUI, Web, desktop and MCP experiences.
CLI · TUI · Web · Desktop · MCP interfacesControl how an agent changes and releases an application.
Poiera replaces repeated tool and environment discovery with task-relevant context, known driver actions, a reviewable plan, plan-bound authority, coordinated execution, and recorded verification.
approved actions + execution status + verification receiptAn engineering lead reviews the plan before execution. This is the end-to-end workflow the project is working toward across Poiera, Theatora and Rhyzora.
Foundation: define application context, valid driver actions, authority, release plans, and verification as one open control boundary.
First end-to-end milestone: take one change from intent and human approval through preview deployment to recorded checks, with every action constrained to the accepted plan.
Your part: bring a workflow you hesitate to delegate, test the trust model, propose a driver, or contribute an implementation on GitHub.
Poiera is being built in public for teams who want agent-led delivery to be safe, predictable, fast, and economically sustainable. Bring the workflow you are not yet comfortable delegating and help shape its trusted path.
Join Poiera on GitHub ↗