PLAYBOOK · CONCIERGE BUILD
Bring your use case — we build a custom AI app in 24h, deploy in 48h.
Sometimes you don't want to pick from a catalog. You have a specific problem — a workflow, a backlog, a customer experience — and you want it solved this week, on your platform. The VDF AI team scopes, builds, and deploys a working application within 48 hours, using the same VDF AI Networks you'll go on operating.
Sales cycles love demos. Engineering teams need proof. This playbook describes the concierge build offer: you tell us the real-world AI problem; our team scopes it in four hours, builds the application on VDF AI in twenty-four, validates against your data in another twelve, and deploys to your environment within forty-eight. You inherit the agents, networks, and tools — yours to operate forever.
The problem
Sales cycles outrun real builds
You want to evaluate VDF AI on a problem that matters — not a vendor demo. Internal teams are busy. Hiring takes months. Most platforms answer with another demo deck.
The VDF AI approach
Two days to a working app on your stack
Submit the use case. The VDF AI build team scopes within 4 hours, builds within 24, and deploys to your VDF AI environment within 48. You inherit a real application made of agents, networks, and tools you can edit yourself.
WHY THIS MATTERS NOW
A working app is better than any pitch deck
AI platform decisions are usually made on the wrong evidence. Vendors hand over reference architectures; buyers compare them. The right evidence is a working application solving your team's problem — and most platforms cannot deliver that on a timeline that fits a real evaluation.
VDF AI can, because the platform itself was designed to be composed quickly. The concierge build team uses the same Network Labs, the same Custom HTTP tools, and the same SEEMR routing you will use after handover. No proprietary build sauce; nothing thrown away at the end.
WHAT YOU NEED TO START
Prerequisites for a concierge build
From you
- A specific use case (one paragraph is enough)
- Sample data or examples (anonymized OK)
- Access to one or two stakeholders for scoping
- Acceptance criteria — even informal
From your environment
- VDF AI deployment (we help you stand it up)
- Network access for our build team
- One identity bridge or service account
- Optional: existing API or data source
Outputs
- Working application in your environment
- Documented agents, tools, and intent templates
- Accuracy baseline on golden data
- Operator handover session
48-HOUR TIMELINE
How a concierge build moves
Scoping call · requirements doc
Build: tools · agents · network
Run on golden dataset · iterate
Deploy to your environment
PLAYBOOK · STEP BY STEP
What we ask, what you receive
Tell us the use case
One paragraph is enough. Who uses it, what they do today, what would change if AI helped. Attach examples if you have them.
4-hour scoping call
We propose the agents, tools, and intent templates. You confirm data sources and acceptance criteria.
24-hour build
Our team assembles the Custom HTTP tools, vector indexes, agent definitions, and the Network. Built on VDF AI — no proprietary glue.
Golden-dataset validation
We replay your sample cases through the Accuracy Testing module. You see the deltas before deployment.
Deploy and hand over
Hours 36–48: the app ships into your VDF AI environment. Your team edits prompts, tools, and routing from day one.
OUTCOMES
A real app — on your platform
from use case submission to a working deployed app.
built on VDF AI primitives — yours to operate forever.
routing, monitoring, and learning included from day one.
SEEMR REFERENCE
You inherit a self-improving system
The app we ship isn't static. SEEMR starts learning the moment real traffic flows — quality, cost, and energy improve as your team uses it.
FREQUENTLY ASKED QUESTIONS
What teams ask before shipping this playbook
Is the 48-hour SLA real?
Yes, for scoped problems. The four-hour scoping call confirms whether your problem fits the format. Larger builds run on a 2- or 4-week sprint instead.
Who owns the IP of the resulting application?
You do. Everything we build sits in your VDF AI environment using documented primitives.
Does this require us to be on the Sovereign tier?
No. The concierge build is available on Cloud, Hybrid, or Sovereign tiers.
What if the app needs more iteration?
You operate it after handover. Optional support packages cover ongoing iteration and tuning.
Can the build use our existing tools?
Yes. Your existing systems become Custom HTTP tools or RAG sources. The build does not replace what works.
How do we get started?
Submit your use case via the demo modal. We schedule the scoping call within one business day.
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GET IN TOUCH
You Have Questions
Tell us what you’re trying to achieve—governed AI Networks, enterprise RAG, deep integrations, or on‑premise deployment. We’ll help you map the right architecture, security posture, and rollout path. If you’re moving beyond AI pilots and need scalable, auditable execution, reach out—our team is ready to help.