How $GOOG, $XNDU and $INFQ Connect
The relationship between Google Quantum AI, Xanadu, and Infleqtion is defined by technical integration rather than corporate mergers.
Together, they form a functional software pipeline for Quantum Machine Learning (QML) applications.
The integration operates through three distinct software layers:
Algorithm Development $XNDU: Developers use Xanadu’s open-source framework, PennyLane, to program differentiable quantum circuits and machine learning models.
Framework Translation $GOOG: Through the PennyLane-Cirq plugin, the high-level code from PennyLane is converted into logical gate structures within Google's Cirq framework.
Hardware Optimization $INFQ: Infleqtion’s Superstaq software processes the Cirq code, compiling and optimizing it for specific hardware architectures. This step reduces physical error rates during execution.
This cooperative setup benefits all three entities. Xanadu expands the reach of its programming framework, Infleqtion establishes its optimization software within major cloud ecosystems, and Google ensures that its quantum processors can run advanced machine learning workloads developed by the wider open-source community.
The relationship between Google Quantum AI, Xanadu, and Infleqtion is defined by technical integration rather than corporate mergers.
Together, they form a functional software pipeline for Quantum Machine Learning (QML) applications.
The integration operates through three distinct software layers:
Algorithm Development $XNDU: Developers use Xanadu’s open-source framework, PennyLane, to program differentiable quantum circuits and machine learning models.
Framework Translation $GOOG: Through the PennyLane-Cirq plugin, the high-level code from PennyLane is converted into logical gate structures within Google's Cirq framework.
Hardware Optimization $INFQ: Infleqtion’s Superstaq software processes the Cirq code, compiling and optimizing it for specific hardware architectures. This step reduces physical error rates during execution.
This cooperative setup benefits all three entities. Xanadu expands the reach of its programming framework, Infleqtion establishes its optimization software within major cloud ecosystems, and Google ensures that its quantum processors can run advanced machine learning workloads developed by the wider open-source community.
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Anthropic announced Claude Fable 5 which is its new Mythos-class model for enterprise and paid users.
Claude Fable 5 is also now available in $MSFT Foundry.
Claude Fable 5 is also now available in $MSFT Foundry.
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VIEW IN TELEGRAM
📣 Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot.
It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️
github.blog/changelog/2026-06-09-claude-fable-5-is-generally-available-for-github-copilot/
It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️
github.blog/changelog/2026-06-09-claude-fable-5-is-generally-available-for-github-copilot/
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🇨🇭 Global One SI - Prompt
📣 Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 1: Make Claude Think Like a Senior Dev
"You are a Senior Software Engineer with 10 years of experience
in [TECH STACK: React / Node / Python / etc].
I am building [APP NAME] — [ONE LINE DESCRIPTION].
Before writing any code:
1. Ask me 3 clarifying questions about the requirements
2. Identify the 3 biggest technical risks in my approach
3. Suggest a better architecture if you see one
4. Then build only after I confirm
When writing code:
— Add inline comments explaining every non-obvious decision
— Flag anything that won't scale past 10,000 users
— Tell me what you're NOT building and why
Start with the questions. Don't touch code yet."
#GlobalOneAI
Globalone.ch #Prompt
"You are a Senior Software Engineer with 10 years of experience
in [TECH STACK: React / Node / Python / etc].
I am building [APP NAME] — [ONE LINE DESCRIPTION].
Before writing any code:
1. Ask me 3 clarifying questions about the requirements
2. Identify the 3 biggest technical risks in my approach
3. Suggest a better architecture if you see one
4. Then build only after I confirm
When writing code:
— Add inline comments explaining every non-obvious decision
— Flag anything that won't scale past 10,000 users
— Tell me what you're NOT building and why
Start with the questions. Don't touch code yet."
#GlobalOneAI
Globalone.ch #Prompt
🇨🇭 Global One SI - Prompt
📣 Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 2: The Single-Prompt Full Stack Builder
"You are a full-stack engineer. Build this app completely.
App: [NAME]
What it does: [ONE SENTENCE]
Stack: React + Tailwind (frontend) | Node + Express (backend) | PostgreSQL (DB)
Users: [DESCRIBE]
Core features:
1. [FEATURE 1]
2. [FEATURE 2]
3. [FEATURE 3]
Deliver in this exact order:
1. Database schema (copy-paste SQL)
2. Backend API (all routes, auth included)
3. Frontend components (fully styled)
4. .env variable list
5. Setup instructions (assume I'm a beginner)
Rules:
— No placeholders. No TODOs. Complete code only.
— Every file labelled with its exact path.
— Production-ready from line 1."
#GlobalOneAI
Globalone.ch #Prompt
"You are a full-stack engineer. Build this app completely.
App: [NAME]
What it does: [ONE SENTENCE]
Stack: React + Tailwind (frontend) | Node + Express (backend) | PostgreSQL (DB)
Users: [DESCRIBE]
Core features:
1. [FEATURE 1]
2. [FEATURE 2]
3. [FEATURE 3]
Deliver in this exact order:
1. Database schema (copy-paste SQL)
2. Backend API (all routes, auth included)
3. Frontend components (fully styled)
4. .env variable list
5. Setup instructions (assume I'm a beginner)
Rules:
— No placeholders. No TODOs. Complete code only.
— Every file labelled with its exact path.
— Production-ready from line 1."
#GlobalOneAI
Globalone.ch #Prompt
🇨🇭 Global One SI - Prompt
📣 Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 3: Let Fable 5 Read Your Entire Codebase
(This is where the 1M context window changes everything)
"You are a Principal Engineer doing a full codebase audit.
Here is my entire project: [PASTE ALL CODE or link repo]
Analyze everything and deliver:
— Architecture review (what's good, what's broken)
— Security vulnerabilities (ranked by severity)
— Performance bottlenecks (with fix for each)
— Dead code to delete immediately
— Top 5 refactors that will save me the most time
— Anything that will break at scale (>10K users)
— A prioritized fix list: Critical / Important / Nice-to-have
Be a $500/hr consultant. Brutal honesty only."
#GlobalOneAI
Globalone.ch #Prompt
(This is where the 1M context window changes everything)
"You are a Principal Engineer doing a full codebase audit.
Here is my entire project: [PASTE ALL CODE or link repo]
Analyze everything and deliver:
— Architecture review (what's good, what's broken)
— Security vulnerabilities (ranked by severity)
— Performance bottlenecks (with fix for each)
— Dead code to delete immediately
— Top 5 refactors that will save me the most time
— Anything that will break at scale (>10K users)
— A prioritized fix list: Critical / Important / Nice-to-have
Be a $500/hr consultant. Brutal honesty only."
#GlobalOneAI
Globalone.ch #Prompt
🇨🇭 Global One SI - Prompt
📣 Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 4: Trigger Claude's Parallel Subagent Mode
(Use this inside Claude Code with Dynamic Workflows enabled)
"This is a large-scale engineering task.
Break this into parallel workstreams and execute simultaneously.
Project: [DESCRIBE FULL PROJECT]
Total scope: [e.g., 15 features across 3 modules]
Workstream structure:
— Stream A: Database layer (schema + migrations + seed data)
— Stream B: Backend API (all routes + middleware + tests)
— Stream C: Frontend (all components + routing + state)
— Stream D: Auth system (signup / login / permissions)
— Stream E: Deployment config (Docker + CI/CD + env setup)
Run all streams in parallel.
Sync and merge at the end.
Flag any dependencies between streams before starting."
#GlobalOneAI
Globalone.ch #Prompt
(Use this inside Claude Code with Dynamic Workflows enabled)
"This is a large-scale engineering task.
Break this into parallel workstreams and execute simultaneously.
Project: [DESCRIBE FULL PROJECT]
Total scope: [e.g., 15 features across 3 modules]
Workstream structure:
— Stream A: Database layer (schema + migrations + seed data)
— Stream B: Backend API (all routes + middleware + tests)
— Stream C: Frontend (all components + routing + state)
— Stream D: Auth system (signup / login / permissions)
— Stream E: Deployment config (Docker + CI/CD + env setup)
Run all streams in parallel.
Sync and merge at the end.
Flag any dependencies between streams before starting."
#GlobalOneAI
Globalone.ch #Prompt
🇨🇭 Global One SI - Prompt
📣 Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 5: Use Claude code Honesty Mode to Catch Its Own Bugs
(Fable 5 is 4× less likely to hide code flaws — use this)
"You just wrote this code: [PASTE CODE]
Now switch roles. You are a QA Engineer
trying to break what you just built.
Find:
— Every bug you introduced (yes, your own)
— Security holes (XSS, injection, broken auth)
— Edge cases that will crash in production
— Anything you assumed but didn't validate
— Performance issues under load
For every issue:
→ Explain it in plain English
→ Rate severity: Critical / Medium / Low
→ Give the fixed code immediately
Don't protect your own work. Find everything."
#GlobalOneAI
Globalone.ch #Prompt
(Fable 5 is 4× less likely to hide code flaws — use this)
"You just wrote this code: [PASTE CODE]
Now switch roles. You are a QA Engineer
trying to break what you just built.
Find:
— Every bug you introduced (yes, your own)
— Security holes (XSS, injection, broken auth)
— Edge cases that will crash in production
— Anything you assumed but didn't validate
— Performance issues under load
For every issue:
→ Explain it in plain English
→ Rate severity: Critical / Medium / Low
→ Give the fixed code immediately
Don't protect your own work. Find everything."
#GlobalOneAI
Globalone.ch #Prompt
🇨🇭 Global One SI - Prompt
📣 Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 6: Use Fable 5 New Effort Control Feature
(Fable 5 lets you set effort level: high / extra / max)
For maximum depth on complex builds, start with:
"Set effort level: MAX
I need you to solve this completely, not quickly.
Task: [DESCRIBE COMPLEX CODING PROBLEM]
I don't want the first answer that works.
I want the BEST answer that:
— Handles all edge cases
— Scales to 1M users
— Has zero security vulnerabilities
— Is maintainable by a junior dev 6 months from now
Take as long as you need.
Think out loud. Show your reasoning.
Reject your first approach if a better one exists."
#GlobalOneAI
Globalone.ch #Prompt
(Fable 5 lets you set effort level: high / extra / max)
For maximum depth on complex builds, start with:
"Set effort level: MAX
I need you to solve this completely, not quickly.
Task: [DESCRIBE COMPLEX CODING PROBLEM]
I don't want the first answer that works.
I want the BEST answer that:
— Handles all edge cases
— Scales to 1M users
— Has zero security vulnerabilities
— Is maintainable by a junior dev 6 months from now
Take as long as you need.
Think out loud. Show your reasoning.
Reject your first approach if a better one exists."
#GlobalOneAI
Globalone.ch #Prompt
🇨🇭 Global One SI - Prompt
📣 Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 7: Build a Production API from Scratch
"You are a Backend Architect at Stripe.
Design and build a complete REST API for [APP NAME].
Requirements:
— Auth: JWT + refresh tokens
— Rate limiting: [X] requests per minute per user
— Input validation on every endpoint
— Proper error codes (not just 200 and 500)
— Logging that tells me exactly what broke and when
— API versioning (/v1/ structure)
Endpoints needed:
[LIST YOUR ENDPOINTS]
Deliver:
1. Complete Express/Node code (every file)
2. Middleware setup
3. Error handling module
4. README with curl examples for every route
5. List of environment variables needed
Standard: if Stripe's API team reviewed this, they'd approve it."
#GlobalOneAI
Globalone.ch #Prompt
"You are a Backend Architect at Stripe.
Design and build a complete REST API for [APP NAME].
Requirements:
— Auth: JWT + refresh tokens
— Rate limiting: [X] requests per minute per user
— Input validation on every endpoint
— Proper error codes (not just 200 and 500)
— Logging that tells me exactly what broke and when
— API versioning (/v1/ structure)
Endpoints needed:
[LIST YOUR ENDPOINTS]
Deliver:
1. Complete Express/Node code (every file)
2. Middleware setup
3. Error handling module
4. README with curl examples for every route
5. List of environment variables needed
Standard: if Stripe's API team reviewed this, they'd approve it."
#GlobalOneAI
Globalone.ch #Prompt
🇨🇭 Global One SI - Prompt
📣 Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 8: Refactor Legacy Code Like a Senior Engineer
"Here is code I wrote 6 months ago: [PASTE CODE]
I was a beginner. It works but it's a mess.
Refactor this completely:
— Apply SOLID principles where relevant
— Remove all duplicate logic (DRY)
— Break large functions into small, testable units
— Add TypeScript types if applicable
— Improve variable/function naming throughout
— Add error handling I missed
— Write unit tests for every function
Deliver:
1. Refactored code (fully working)
2. Side-by-side comparison of what changed + why
3. List of bad patterns I was using (so I stop repeating them)
Teach me while you fix it."
#GlobalOneAI
Globalone.ch #Prompt
"Here is code I wrote 6 months ago: [PASTE CODE]
I was a beginner. It works but it's a mess.
Refactor this completely:
— Apply SOLID principles where relevant
— Remove all duplicate logic (DRY)
— Break large functions into small, testable units
— Add TypeScript types if applicable
— Improve variable/function naming throughout
— Add error handling I missed
— Write unit tests for every function
Deliver:
1. Refactored code (fully working)
2. Side-by-side comparison of what changed + why
3. List of bad patterns I was using (so I stop repeating them)
Teach me while you fix it."
#GlobalOneAI
Globalone.ch #Prompt
🇨🇭 Global One SI - Prompt
📣 Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
PROMPT 9: Full Deployment in One Prompt
"You are a DevOps Engineer. Deploy my app completely.
App: [NAME] | Stack: [TECH STACK]
Budget: Under $20/month
Goal: Live app, custom domain, auto-deploy on git push
Deliver step by step:
1. Best hosting choice for my stack + exact cost
2. Dockerfile (if needed)
3. GitHub Actions CI/CD pipeline (copy-paste .yml)
4. Environment variable management guide
5. Custom domain + SSL setup (step by step)
6. Database backup automation
7. Uptime monitoring setup (free tools)
8. What to do when something breaks at 2am
Assume I have never deployed anything before.
Every command copy-paste ready."
#GlobalOneAI
Globalone.ch #Prompt
"You are a DevOps Engineer. Deploy my app completely.
App: [NAME] | Stack: [TECH STACK]
Budget: Under $20/month
Goal: Live app, custom domain, auto-deploy on git push
Deliver step by step:
1. Best hosting choice for my stack + exact cost
2. Dockerfile (if needed)
3. GitHub Actions CI/CD pipeline (copy-paste .yml)
4. Environment variable management guide
5. Custom domain + SSL setup (step by step)
6. Database backup automation
7. Uptime monitoring setup (free tools)
8. What to do when something breaks at 2am
Assume I have never deployed anything before.
Every command copy-paste ready."
#GlobalOneAI
Globalone.ch #Prompt
🇨🇭 Global One SI - Prompt
📣 Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
The biggest unlock in Opus 4.8 and Fable 5 isn't the model.
It's Dynamic Workflows inside Claude Code.
Here's what that means in plain English:
Old way → you give Claude one task, it does one task.
New way → Claude plans the entire project,
breaks it into subtasks,
spawns hundreds of parallel subagents,
runs them all simultaneously,
then synthesizes everything back into one output.
Real example of what this handles:
→ Migrate 100,000+ lines of code in a single session
→ Refactor an entire codebase while keeping tests green
→ Build, test, and document a full feature in one run
This is not "AI autocomplete."
This is an AI engineering team working for you.
It's Dynamic Workflows inside Claude Code.
Here's what that means in plain English:
Old way → you give Claude one task, it does one task.
New way → Claude plans the entire project,
breaks it into subtasks,
spawns hundreds of parallel subagents,
runs them all simultaneously,
then synthesizes everything back into one output.
Real example of what this handles:
→ Migrate 100,000+ lines of code in a single session
→ Refactor an entire codebase while keeping tests green
→ Build, test, and document a full feature in one run
This is not "AI autocomplete."
This is an AI engineering team working for you.
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