01
Configuration users can revisit
Document models, services, permissions, runtime location, and important switches in plain language.
Playbook
After AI agent delivery, FDEs need a handoff clients can actually use
A working demo only clears the first bar. The long-term value depends on handoff: where the agents run, which settings should not be changed casually, how the client checks status, and who handles issues first. MotiClaw helps turn that handoff into a local-first workbench the client can keep using.
Use this capability view to understand how the product enters the work; the interactive preview and verified screenshots remain the product truth.
Open interactive preview02
Checks clients can perform
Turn status, updates, incidents, and feedback into a short checklist the client can repeat.
03
Ownership that can be handed over
Clarify what the client owns, what the FDE owns, and what a later support partner should handle.
Start here
A 3-layer handoff for FDEs
Put inputs, execution, and human review into one clear path before expanding it.
- 01
Hand over runtime boundaries first
Explain where the agents run, which services they depend on, what data enters the workbench, and where human confirmation is still required.
- 02
Hand over regular health checks
Turn launch status, connection status, configuration changes, incident notes, and update records into a checklist the client can review weekly.
- 03
Hand over maintenance ownership
Clarify who owns daily use, configuration changes, incident triage, and what feedback must be gathered before the next expansion.
Why handoff matters more than the demo
Many AI deliveries look good during the demo, but real use quickly raises questions about configuration notes, permissions, data boundaries, incident handling, and responsibility.
If the handoff only lives in conversation, the client soon returns to asking the delivery builder for every problem. FDEs need materials that can be revisited, checked, and expanded.
What the handoff checklist should cover
A good handoff checklist does not expose every technical detail, but it does tell the client what should not be changed casually, where to look first, and when to ask the FDE for confirmation.
A local-first MotiClaw workbench can carry that context: agent roles, service configuration, data boundaries, runtime state, maintenance notes, and next actions can stay on one path.
- Configuration notes: agent roles, service access, permission boundaries, and critical switches
- Health check notes: launch status, connection status, update records, and incident feedback
- Maintenance notes: daily owner, incident contact, adjustment flow, and expansion prerequisites
The first handoff should not overpromise automation
At handoff time, the most important goal is stable use and accurate feedback, not promising that every maintenance action will run automatically.
Once the client can run regular checks and the FDE can see what should be expanded next, deeper automation has a much clearer base.
Which search intent this page serves
People searching for AI delivery handoff, FDE client delivery, or AI agent maintenance checklists are usually looking for responsibility, maintenance, and reuse after the first build.
This page connects configuration notes, health checks, ownership, and next actions so it can support client handoff, internal review, and community tutorials.
FAQ
FAQ
What should be handed over first after AI agent delivery?
Start with runtime and ownership boundaries: where the agents run, which services they depend on, what data enters the workbench, what still requires human confirmation, and who handles issues first.
How should I write handoff material for a non-technical client?
Write it as actions the client can perform. Explain what not to change casually, what to check during a review, and what to do first when something looks wrong.
When can this handoff checklist become a reusable template?
When the configuration notes, health checks, maintenance ownership, and feedback records cover most recurring questions, it is ready to become the base for the next client delivery.
Next
Continue from this question
- 01
FDE local delivery path
For FDEs and AI delivery builders, this guide explains how to turn client needs, deployment prep, agent configuration, data boundaries, and maintenance into a repeatable local AI delivery path.
- 02
FDE delivery
MotiClaw fits FDEs and AI delivery builders who need one local-first platform for consulting, deployment, configuration, and long-term client handoff.
- 03
Agent workbench
See how MotiClaw brings agent onboarding, status, daily operations, configuration, and delivery into one local-first workbench for FDEs, AI indie developers, and founders.
- 04
Demo to maintenance
For AI indie developers, this guide compares what must be stabilized between agent demos, client trials, configuration handoff, and long-term maintenance.
Run the first step