Use cases · proposed workflows

Different agent work. One governed execution model.

ANDIP is designed for engineering and automation teams that need to coordinate heterogeneous workloads across servers. The examples are proposed workflows, not customer deployments.

Use case 01

Parallel software development

Operational challenge

Coding work often needs several agents while keeping source changes, workspaces and test evidence separate.

Proposed ANDIP workflow

Assign independent issues to isolated worktrees or containers, track attempts, collect patches and test artifacts, and route merges or protected-branch changes for human approval.

Expected benefit

Less manual session coordination and a clearer record of each task’s changes and checks.

Relevant architecture

Agent Orchestrator adapter patterns, per-attempt workspace, task DAG, artifact checksums and approval controls.

Limitations & dependencies: Integration and distributed worktree policy remain planned; source changes and merges require authorization.

Use case 02

Authorized market research

Operational challenge

Large research efforts need source discipline, rate limits, cost caps and consistent aggregation across many small jobs.

Proposed ANDIP workflow

Distribute research tasks by capacity and allowed source policy, retain references and provenance, meter usage, verify outputs and combine the evidence.

Expected benefit

A repeatable workflow with clearer provenance, queue visibility and project-level cost context.

Relevant architecture

Workflow dependencies, browser or HTTP adapters, artifact storage, budget reservations and output verification.

Limitations & dependencies: Only public or explicitly authorized sources; respect terms, privacy, rate limits and data rights. No accuracy or productivity gains are promised.

Use case 03

Browser-based workflows

Operational challenge

Browser tasks need session/profile isolation, action policy and independent checks of external outcomes.

Proposed ANDIP workflow

Launch a browser adapter only when a task declares that capability; use an isolated profile, domain policy, action limits and a postcondition verifier.

Expected benefit

A more controlled way to schedule permitted browser work alongside non-browser tasks.

Relevant architecture

Optional Jev Ultrafast adapter, worker sandbox, profile isolation, policy hooks and audit artifacts.

Limitations & dependencies: Jev integration is planned; unsupported UI surfaces or uncertain side effects should be blocked or reviewed. Never bypass CAPTCHA or access controls.

Use case 04

Data processing

Operational challenge

Batch jobs vary in CPU, memory, storage and runtime needs; sharing mutable state can cause cross-task contamination.

Proposed ANDIP workflow

Declare resources and input artifact references, schedule a bounded container workload, capture output and checksum, then release its environment.

Expected benefit

Capacity-aware job placement and more repeatable input/output provenance.

Relevant architecture

Resource profiles, isolated execution, durable artifacts, task attempts and budget tracking.

Limitations & dependencies: Dataset permissions, sensitive-data controls, egress policy and runtime limits must be configured; ANDIP processing infrastructure is planned.

Use case 05

Large-scale agent coordination

Operational challenge

A large goal may contain dependencies, multiple adapter types, finite server capacity and provider quotas.

Proposed ANDIP workflow

Represent the goal as a workflow graph, authorize tools, reserve capacity and budget, then schedule only eligible work and aggregate verified artifacts.

Expected benefit

One view of intended coordination, queued work, current attempts and recovery decisions.

Relevant architecture

Central workflow state, distributed scheduler, VPS registry, lease fencing, audit and recovery.

Limitations & dependencies: “100 Concurrent Agents — Engineering Validation Target.” Actual capacity depends on infrastructure, workload mix, provider quotas and reproducible testing.

Responsible operation: All browser automation and data processing must be authorized and respect website terms, privacy, access controls and rate limits. High-risk external actions require policy gates or human approval.