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purpose The phased adoption path for a shared agentic workspace. Crawl / Walk / Run, with entry criteria, what to build, and exit signals.
audience PMs deciding how far to take agentic support for their product team.
status Active.
last_updated 2026-07-29

Phased Adoption

Start at Crawl. Move up only when you feel the specific pain the next phase removes. Building Run-phase machinery on day one is the most common way these efforts stall. Each phase is independently useful; you can stop at any of them.

The three phases map onto Nava's AI-strategy maturity horizons (pilot → repeatable patterns → scaling), so the broader transformation effort can see where each team stands.

Phase You have Effort to enter Nava strategy horizon
Crawl One workspace, thin AGENTS.md, a few docs lanes ~30 min Phase 1 — pilot-level shift
Walk Shared skills + first Context Fabric profiles, shared with teammates ~half a day Phase 2 — repeatable patterns
Run Full support layer, multi-product catalog, validation, stewardship Ongoing Phase 3 — scaling and system effects

Crawl — one workspace with shared context

Enter when: you use an agent for product work and are tired of re-explaining context.

Build:

  1. Run scripts/new-workspace.sh --name "<workspace>" (or copy templates/workspace/).
  2. Fill in the root AGENTS.md: what this workspace is, what does not belong, your product vocabulary, and any hard boundaries (for example, "never paste credentials," "client-sensitive material needs review before sharing"). Keep it thin.
  3. If anyone uses Claude Code, add a CLAUDE.md containing just @AGENTS.md (the scaffold does this for the root). Nothing to keep in sync.
  4. Use docs lanes as you work. The scaffold starts you with docs/ideation/, docs/plans/, docs/solutions/; rename, drop, or add lanes to fit your team (see the workspace docs/README.md). Just keep each lane meaning the same thing to everyone.

(Carrying context across sessions is deliberately out of scope in this version; see architecture §6. Don't stand up an auto-loaded prompt log.)

You now have: an agent that knows your product's boundaries and vocabulary every session, on any tool, with zero re-explaining. This is real value on day one.

Dependencies: essentially none. A text editor and your agent tool. See local-setup.md.

Exit signal → Walk: more than one PM needs the same context, or you keep repeating the same multi-step procedure by hand, or "which system/repo does this product touch?" keeps coming up.


Walk — shared, reusable, multi-person

Enter when: a second PM joins, or a procedure is worth writing down once.

Build:

  1. Install the support engine. ./scripts/install-support.sh <workspace> (run --check first to see what it would do). You get skills/, context-fabric/, tools/, validation/, and the doctrine docs whole — you do not build them. Then author your two files: CONCEPTS.md and docs/context-source-ladder.md.
  2. Declare your roots and check. Ask your agent to run the workspace-setup skill; it interviews you for your roots, configures your harness, writes the machine-local declaration, and runs tools/workspace-doctor.sh until it is green. Every teammate does this once, on their own machine.
  3. Write your first skill. Take a procedure you repeat and turn it into skills/<id>/SKILL.md from skills/example-skill/SKILL.md. Register it in skill-manifest.yaml in the same change.
  4. Set up skill sync. Each teammate runs skills/sync-skills.sh to mirror skills into their harness. --check detects drift.
  5. Write your first Context Fabric profile. For each product area, create a product:<slug> profile from context-fabric/templates/profile.template.json, plus the system: / repository: records it references. Declare the profile in the area's AGENTS.md.
  6. Share the workspace. Pick git or synced storage (see collaboration-and-governance.md) and write the choice down. Each teammate does local-setup.md once.
  7. Split the lanes. Separate shared product work from prototyping.

You now have: a team that shares context and procedures across different tools and machines, and a session-start probe that tells each member what their session can actually do. Procedures compound instead of living in one person's head.

Dependencies: the harness config for each tool, plus jq for record validation. git only if you hydrate checkouts. See local-setup.md.

Exit signal → Run: several product areas, several PMs, and enough churn that you need validation and clear stewardship to keep it from drifting.


Run — a durable multi-product operating system

Enter when: the workspace supports multiple products and PMs, and drift or ambiguity is starting to cost you.

Build:

  1. Turn on the rest of the engine. Generate repo digests (tools/generate-repo-digests.sh) so repository questions stop needing checkouts. Register product areas with tools/scaffold-product-area.sh and regenerate the routing card (tools/route-artifact.sh --card). Author sync manifests for the repositories your products actually need.
  2. Adopt the gate in your loop. Run agentic-support/validation/check-workspace.sh after structural changes and, if git-backed, in CI. It is stricter than the Crawl-phase scripts/validate-workspace.sh and is the authority once the engine exists.
  3. Formalize ownership if it helps. For a larger multi-product team, name an owner per product area (in the profile's maintainers and an optional summary table) and decide whether product-work artifacts get a review before the team relies on them. Keep it as light as the team will actually follow. See collaboration-and-governance.md.
  4. Use the status field to ship incrementally. Mark unfinished skills paused so the structure is complete and visible while the machinery matures.
  5. Optionally, add review personas where domain correctness matters — an agent critiques high-stakes work from a few role angles before a human signs off.
  6. Record learnings as they happen. Write each durable finding to agentic-support/docs/solutions/<category>/<slug>.md and each new term to CONCEPTS.md. This is the lane that makes the workspace get better rather than merely bigger, and it costs nothing per session because it is load-on-demand.
  7. Decide the target sharing state deliberately. For a durable multi-product system, a git-backed support layer with CI drift checks is usually right; product-work lanes can stay on synced storage if your team prefers it.

You now have: a versioned, validated, multi-product operating system that new members onboard into with one named workflow, that reports its own health at session start, and that stays consistent as it grows.

Dependencies: jq (required), git (for checkouts and digests), and optionally rg/fd/shellcheck — the tools use them when present and fall back to POSIX equivalents when not. See local-setup.md.


Anti-patterns (how these efforts fail)

  • Building Run on day one. Schema, selector scripts, and CI before you have a single product profile in use. Start at Crawl.
  • Fat AGENTS.md files. Copying procedures and facts into every folder. They drift immediately. Reference, don't repeat.
  • Two sources of truth. A "moved" pointer and an "active" copy of the same context. Pick one home (the support layer) and make everything else a labeled pointer.
  • Both sharing mechanisms half-wired. Git and synced storage both partly set up. Choose one per phase and finish it.
  • Skills that fork per tool. Editing the tool-specific adapter instead of the SKILL.md. The adapter is a pointer; the procedure has one home.
  • Assembling one root out of symlinks. It looks tidier and it breaks silently: harness file viewers do not show symlinked folders' contents, so the workspace vanishes from the UI while every script still passes. Hand the harness real directories.
  • Tools that guess machine paths. A fallback to $HOME or a sibling directory works on the author's machine and is quietly wrong on everyone else's. Declare roots; fail closed when the declaration is missing.
  • A shared folder as your session's primary folder. Your harness writes personal settings there and sync hands them to the whole team — repeatedly, because the next session recreates the file.