EU-startup

# AI Council OS — Sovereign Modular Micro-DC Blueprint  
_Using the multi-agent “round table” prompt_

This README explains how to use the **AI Council OS** meta-prompt + **deployment blueprint** prompt to design and operate **sovereign, modular, eco-efficient micro-data centers** (GDPR-aligned, EU-centric).

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## 1. What you have

You currently have **three main prompt artifacts**:

1. **Council Meta-Prompt (`meta: ...`)**  
   - Defines the **AI Council OS — Man in the Middle**.  
   - Declares **14 roles** (SRE, Network, Security, Compliance, Physical/Facility, etc).  
   - Specifies **outcome requirements** (zero manual provisioning, reproducible from Git, GDPR alignment, eco-efficiency, etc).  
   - Describes the **interaction model** (how the council debates and how responses are synthesized).

2. **Extended Roles**  
   - **Sovereign Compliance & Sustainability Lead (GDPR/EU Green)**  
   - **Physical Infrastructure & Facility Engineering Lead (Power/Cooling/EN 50600)**  
   These ensure physical/electrical/cooling design and EU compliance & sustainability are **first-class citizens** in every answer.

3. **Deployment Blueprint Example (`kind: deployment_blueprint`)**  
   - A concrete example of what the council should produce:  
     “Sovereign Modular Micro-DC v1 — EU/GDPR, Eco-Efficient”.
   - Shows structure: `meta`, `context`, `assumptions`, `architecture`, `git_structure_and_pipelines`, `deployment_runbook`, `verification_and_validation`, `council_alignment`.

You'll use the **meta-prompt** as the “brain” and the **deployment blueprint** as the **shape of the output** you want.

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## 2. Basic mental model

Think of this system as:

- A **virtual architecture council** with 14 seats (SRE, Network, Security, Compliance, Facility, etc).
- You give the council a **subject** (e.g. “Design Micro-DC v2 for Country X, with solar + district heating integration”).
- The council responds with **one coherent blueprint**, already cross-checked across roles.

**You don’t talk to each role individually**; the meta-prompt instructs the assistant to act as **one voice** that already integrated everyone’s input.

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## 3. How to install / load the meta-prompt

This depends on where you run it (ChatGPT custom GPT, another LLM host, etc). Conceptually:

1. **Create a new “system” or “base” prompt**  
   - Paste the updated **Council OS meta-prompt YAML** into your **system** / **instructions** / **developer** field.
   - If the platform doesn't support YAML literally, you can still paste it as text; what matters is the **content**, not YAML parsing.

2. **Mark it as persistent**  
   - This meta-prompt should be **always active** for that assistant/profile.
   - All user queries will then be interpreted as “questions to the Council”.

3. **(Optional) Add the deployment blueprint as a template**  
   - Store the `deployment_blueprint` YAML either:
     - As a **reference in your notes**, or
     - As an **inline example** in the meta-prompt (e.g. under a section `example_output:`).

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## 4. How to ask for a deployment blueprint

Once the meta-prompt is loaded, your normal usage looks like:

### 4.1. Generic invocation

You can say:

> **“Run the round-table and generate a deployment blueprint for \<scenario\>.”**

Examples:

- `Run the round-table: generate a deployment_blueprint for a sovereign micro-DC in Germany (50 kW IT load, liquid cooling for GPUs, district heat reuse).`
- `Generate a deployment_blueprint for a 200 kW regional micro-DC cluster (3 modules) with strict GDPR requirements for healthcare workloads.`
- `Create a deployment_blueprint to extend our existing micro-DC v1 into a federated EU-wide fleet (5 countries).`

The Council should respond with a YAML (or structured) document similar in shape to:

- `kind: "deployment_blueprint"`
- `name: "..."`, etc.

### 4.2. Being explicit about the structure

If you want to **enforce the shape** of the output, you can paste a short instruction like:

> “Use the same structure as the previously generated `deployment_blueprint`:
> `meta`, `context`, `assumptions`, `architecture`, `git_structure_and_pipelines`, `deployment_runbook`, `verification_and_validation`, `council_alignment`.”

You can also say:

> “Output only valid YAML, no commentary.”

if you want to drop it directly into a repo.

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## 5. Recommended usage patterns

### 5.1. Designing a new module

1. **Start high-level**:

   ```text
   Run the round-table to design "Sovereign Modular Micro-DC v2 — Country X".
   Requirements:
   - IT load: 150 kW
   - Two modules, each 75 kW
   - Mandatory waste heat reuse into local district heating
   - 100% renewable energy target, mix of on-site solar and PPAs
   - Healthcare data: must not leave EU/EEA
   Generate a deployment_blueprint in YAML.

Get the blueprint, inspect, and then:
Ask for zoom-ins:
- “Drill down on the Facility & Physical section and give me a more detailed site_manifest.yaml example.”
- “Generate example OPA policies enforcing data-residency rules described in the blueprint.”
- “Give me Ansible role structure matching this deployment_runbook.”

5.2. Evolving an existing blueprint

If you already have a blueprint (like the v1 example):

Paste the blueprint (or refer to it).

Ask:

Take this existing deployment_blueprint and evolve it to v2 with these changes:
- PUE target tightened to 1.2
- Add liquid cooling for GPU racks (30 kW per rack)
- Add integration with national grid flexibility services
Output a new deployment_blueprint, clearly naming it v2.

This taps the Platform Lifecycle & Operations plus Facility plus Compliance roles to propose a migration path, not just a new design.

6. How the Council's roles show up in answers

You don't need to call roles manually, but it helps to know what they cover:

Principal SRE/DevOps Architect - overall shape, lifecycle, and reproducibility.
Bare-Metal, Virtualization, OpenStack, Network – infra layers.
Automation & IaC, CI/CD & GitOps - everything-as-code and pipelines.
Observability, SRE Reliability - SLO/SLI, telemetry, self-healing.
Security Architect - zero trust, IAM, secrets, audit.
Sovereign Compliance & Sustainability Lead - GDPR, data residency, EU green frameworks.
Physical Infrastructure & Facility Engineering Lead - power, cooling, EN 50600-style design to support compliance & sustainability goals.
Capacity & Performance, Platform Lifecycle & Operations - capacity, performance, upgrades.

If you want a specific angle strengthened, ask for it:

“Re-run this blueprint with a stronger focus from the Physical Infrastructure & Facility Engineering Lead on power and cooling for 30 kW GPU racks.”
“Re-evaluate this design from the Sovereign Compliance & Sustainability Lead perspective and highlight any GDPR or EED gaps.”

7. Integrating with Git / documentation

The blueprint is already shaped to drop into a repo:

Suggested layout:

infra/
  council/
    metaprompt.yaml              # your AI Council OS config
    README.md                    # this file
  blueprints/
    microdc-v1/
      deployment_blueprint.yaml
      site_manifest.example.yaml
      policies.example.yaml
    microdc-v2/
      deployment_blueprint.yaml

You can:

Track versions: microdc-v1, microdc-v2, etc.
Open issues directly against the blueprint sections (e.g. “Cooling design doesn't match local building code — adjust.”).
Use the blueprint as source of truth for:
- Terraform modules
- Ansible roles
- OPA policies
- GitOps manifests

8. Prompt snippets you can reuse

8.1. New site blueprint

Use the AI Council OS meta-prompt and generate a new `deployment_blueprint`
for a sovereign, modular micro-data center in <COUNTRY>.
Constraints:
- IT load: <X> kW
- Number of modules: <N>
- Special workloads: <describe>
- Sustainability goals: <PUE target, renewable %, heat reuse, etc.>
Output valid YAML with the same structure as the "Sovereign Modular Micro–DC v1" example.

8.2. Gap analysis / review

Here is our current deployment_blueprint for micro-DC v1 (YAML below).
Act as the AI Council OS and perform a cross-seat review focusing on:
- GDPR/data-sovereignty risks
- Physical/electrical/cooling compliance gaps
- Sustainability KPI realism (PUE/WUE/renewables)
Propose changes to the blueprint, not just a narrative. Output an updated YAML.

8.3. Implementation breakdown

Given this deployment_blueprint, decompose it into:
- Terraform module list
- Ansible role and playbook structure
- Git repo layout
Stick to skeletal code structures and file names.

9. Tips & guardrails

Be explicit about output format: If you want copy-pasteable YAML, say “Output only YAML, no extra text.”
Keep “one source of truth”: When you update the blueprint, treat it like code: PRs, reviews, version tags.
Re-run the council for changes: When requirements change (new regulations, new energy goals), re-invoke the council to produce a new version, don't patch the old one by hand.
Use roles as “lenses”: Ask the council to respond with emphasis from certain roles if you want deeper detail in that domain (e.g., more from Compliance, or from Facility Engineering).

10. Next step

If you tell me:

Which country / region you're targeting first, and
Rough power budget & workloads,

I can generate:

A country-specific deployment_blueprint, and
An accompanying site_manifest.example.yaml that you can drop straight into your infra-foundation repo.

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