Understand
Read your intent, constraints, current graph, live signals, history and recovery objective.
The agent sees how the whole company fits together.
A declarative graph connects what you want, what can be built, what is running, what happened and how to recover. That context lets Abird act across the stack while staying inside explicit authority.
A concrete request
“Move the orders database on Sunday without increasing recovery exposure.”
That sentence crosses data, applications, networking, credentials, backups, rollout, observation and rollback. Abird keeps it one operation instead of handing your team a sequence of unrelated console actions.
The operating loop
The agent stays with the work.
Each stage remains attached to the same request, authority, dependency lineage and definition of success.
Design
Follow every dependency and propose the smallest bounded, reversible system change.
Build
Produce packages, configurations, images, migrations and complete generations before production mutation.
Verify
Run tests and policy, compare the proposed generation, check blast radius and prove the path back.
Operate
Deploy in stages, observe the result, maintain the system and return accepted learning to your graph.
Your shared model
Abird graph.
This is our customer-owned model of your company’s software system: what should exist, how everything depends on everything else, what is running, and how to rebuild or recover it. We produce a full Nix graph with reconcilers for each node that gives the agent a reproducible model of inputs, dependencies and outputs across both company software and your products.
Each change is reproducible, buildable and verifiable before anything is deployed.
Why the build graph
Build before mutation.
Nix gives the buildable parts exact inputs and reproducible outputs. A library becomes part of an application, the application becomes part of a service, and the service becomes part of a complete system generation.
Abird can evaluate the dependency closure, build in isolation, compare generations, run policy and tests, reuse known artifacts and connect the deployed result to exact inputs before touching the live environment.
External reality does not disappear. Data, DNS, hardware, credentials and SaaS state remain represented through typed nodes, reconcilers, target bindings and recovery contracts.
Seven views, one operation
From intent to evidence.
Each view answers a different operating question. Their connection gives Abird useful context; their separation lets each view validate the others.
Intent
Goals, constraints, decisions, budgets, risk, residency and recovery objectives.
Desired
Users, services, products, data, policy, dependencies, machines, networks and target bindings.
Built
Derivations, closures, packages, images, product releases and complete system generations.
Deployed
The exact generation activated in each environment and its provider projection.
Observed
Health, logs, metrics, traces, drift, cost, incidents and user-visible outcomes.
Recovery
Backups, snapshots, restore order, clean-target prerequisites and handover readiness.
Knowledge
Tests, approvals, decisions, compatibility findings, incident learning and operating evidence.
A model can propose. The operating system still constrains, executes, observes and records.
ABIRD / AGENT HARNESS
Where intelligence lives
Reasoning above. Determinism below.
The model is powerful and replaceable. The durable product is the operating environment that makes its work bounded, reproducible and accountable.
The model reasons
Interprets your intent, explores alternatives, explains trade-offs and proposes a connected operation.
The graph constrains
Supplies declared dependencies, ownership, current state, target bindings and recovery contracts.
The substrate executes
Nix builds, reconcilers project state, policies gate authority and independent checks verify outcomes.
The agent harness
See broadly.
Act precisely.
Useful autonomy needs context, precise tools, explicit authority, deterministic execution, independent feedback and memory — not permanent administrator access.
Whole-system context
Products, users, company software, data, infrastructure, live state and recovery remain connected.
Capability-scoped tools
Typed APIs and MCP tools expose precise operations instead of open-ended machine access.
Identity and data boundaries
Operational understanding stays separate from exceptional access to credentials or payloads.
Deterministic execution
Important changes are evaluated, built and checked before a live system is mutated.
Independent verification
Tests, policy, readiness, health and recovery evidence verify the proposed plan.
Compounding memory
Accepted decisions, evidence, compatibility and incident learning return to your owned system.
Authority grows with evidence — not convenience.
ABIRD / CONTROL MODEL
The authority contract
Give the agent exactly the room the operation needs.
Graph structure and operating signals provide default context. A task capability grants a specific action by resource, verb, environment, time, risk and approval. Credentials or business payloads are a separate, exceptional and auditable escalation.
Authority contracts when evidence becomes stale, health degrades, unknown drift appears or recovery prerequisites fail.
Where your system runs
One system. Honest differences.
Abird preserves shared intent and build lineage without pretending every place to run is identical.
A complete local or edge environment built from the same declared system.
A company-in-a-box or production role on a dedicated host or cloud VM.
Services separated by workload, trust, state, availability and recovery needs.
Cloud, on-premise, bare metal and edge targets joined by shared intent and lineage.