Score, plan, fix and ship a customer’s codebase — from one live board
A Mission is a live board for one customer’s codebase. It scans the code against your engineering rules and scores it, turns every finding into a priced item the customer can approve, and groups approved work into Sorties — small, scoped jobs that each carry a test for “done”. A fleet of AI agents works the Sorties in parallel, each in its own isolated copy of the repo, healing against the same rules until clean; nothing reaches main except through a gate that re-runs that test, and what ships is verified in a real browser and re-scanned. The customer watches all of it on their own portal: the grade, the sorties, the shopping list they signed off, and proof of what was delivered.
One live board per customer — DNA grade, open sorties, progress and quoted cost in one shareable link
A priced shopping list — recommended work is quoted before it starts; the customer approves it in the portal
Sorties, not tickets — each is a scoped group of requirements with one acceptance test that must go green
A fleet of agents in isolated worktrees — parallel sweeps, DNA-gated self-healing, serial rebase-gated ship
Proof, not promises — what shipped is browser-verified and re-scanned; a regression reopens its sortie
Database changes rehearsed against a real database, and cloud cost and waste surfaced across the estate
Third-party code review and change-request management with AI-slop detection on incoming changes
Honest branch recovery — patches compared, not ancestry, so already-shipped work is never reported abandoned
Self-serve for the customer, or run alongside them — one instance per client, in your cloud or theirs
Three pictures say what a feature list cannot: what a Mission is made of, how the agents work it without treading on each other, and why nothing lands that has not proved itself.
Ancestry read: 59 abandoned branches carrying 177 unmerged commits. A stakeholder said, verbatim, "I'm freaking out about this."
Patch read on the same minute: 12 branches were ENTIRELY already applied (squash/rebase/cherry-pick), 47 held 152 genuinely unapplied commits. Same repo, opposite story.
We got the diagnosis wrong twice before reaching for `git cherry`. Two-thirds of the surviving branches conflicted — not because they were damaged, but because newer fixes touched the same lines. That is the repo defending itself, not evidence of rot.
Run it on your own repo.
git branch --no-merged origin/main | wc -lis the ancestry scare;
for b in $(git branch --no-merged origin/main --format="%(refname:short)"); do git cherry origin/main "$b" | grep -c "^+"; done | awk '{s+=$1} END{print s}'is the patch truth. The gap between the two IS the pitch.
Per-customer instance, billed monthly. The platform fee covers the board, the scans and the portal; agent work is quoted per sortie before it starts, and AI model usage is never hidden inside the monthly fee.
Platform fees cover the software, hosting, support and a set allowance of EmberNest-managed AI, shown on each plan. AI model usage is separate beyond that: overage is metered and itemised on your bill, with limits and alerts — or bring your own on eligible plans: an existing Claude, OpenAI or Azure subscription, an OpenRouter account, or local models via EmberConnector.
Missions is powered by EmberNest — the same production platform behind every app in the ecosystem.
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