Poesis
Usage / Use case Partial
Set up a workspace and publish checked artifacts
Reproduce a pinned local delivery environment and carry the same declared artifact checks into controlled CI publication.
Platform
What serves this use case
Capabilities
- SAF: Local-first delivery plane Partial
Values
Values composed with this use case
- Value Partial
Control local delivery data.
Choose local tools and Git workflows, with explicit policies for model/tool egress, telemetry, remotes and backups.
Supported by Affordances(1)
Supported by Capabilities(2)
Supported by Features(2)
- Value Partial
Keep artifacts in a chosen working tree.
Own the Git working tree and its artifact history, with separate disclosure policies for journals, remotes, tools, models and backups.
Supported by Capabilities(1)
Supported by Features(2)
- Value Partial
Make supported setup repeatable.
Use the planned installer for pinned setup, reruns, upgrades and rollback while preserving existing work.
Supported by Capabilities(2)
Supported by Features(1)
- Value Partial
Reuse declared checks in CI.
Carry pinned artifact checks into planned CI pipelines, with environment validation and human decisions handled explicitly.
Supported by Capabilities(1)
Supported by Features(1)
Pains
Pain points
- Pain point Partial
AI agents ship work nobody scoped, gated, or can replay.
Agentic delivery state is trapped in chat sessions; pull requests appear without a mandate; there is no event log and no human authority at the layer where it matters.
Addressed by Affordances(1)
Addressed by Capabilities(4)
Addressed by Features(7)
Experienced by Actor types(5)
Addressed through Use cases(14)
- Approve an agent resource and action mandate
- Deliver a reviewed artifact through a local workflow
- Set up a workspace and publish checked artifacts
- Resolve the next eligible workflow step
- Inspect a captured harness invocation sequence
- Assign a delivery responsibility from the role catalog
- Select a practice playbook for a delivery task
- Define a delivery ceremony and its handoffs
- Select versioned instructions for an engineering role
- Run an agentic workflow with deterministic controls
- Adopt the agentic SAFe operating model
- Gate an advancement on an authenticated human decision
- Deliver from a local-first, reproducible plane
- Generate artifacts through declared workflows