From Notebook to Production
Without Switching Systems
One framework for your entire stack. From data exploration to API deployment. From model training to production monitoring. In one conversation.
This Is Your Brain Trying to Do Both
- Context switches: 8+ per day
- Time lost per switch: 23 minutes
- Daily productivity: 40% of potential
- Frustration level: Maximum
One Framework. Every Task. No Switching.
AI: "I'll create an end-to-end solution. Starting with exploratory data analysis..." [Builds notebook analysis] You: "Continue"
AI: [Knows you're ready for modeling phase] "Moving to model development..." [Builds and validates model] You: "Continue"
AI: [Automatically transitions to engineering] "Wrapping model in FastAPI service..." [Creates production-ready API] You: "Continue"
AI: [Still has full context] "Adding monitoring and deployment config..." [Completes entire pipeline]
- No context switching.
- No explaining twice.
- No manual coordination.
- No separate workflows.
The AI knows when you need data science rigor.
The AI knows when you need engineering robustness.
The AI handles the transition seamlessly.
One Setup. Infinite Power.
- Download FlowState Bundle
- Open your AI tool (Claude/Cursor/Copilot)
- Run ONE initialization prompt
- AI asks: "What are you building?"
- You answer
- Done
• Complete orchestration framework
• DS + SE methodologies unified
• Your project context
• Task management system
• Quality gates for both domains
You: "Continue"
AI: [Picks up next task, executes with appropriate rigor]
You: "Add task: optimize model performance"
AI: [Captures requirements, adds to backlog]
You: "What's our progress?"
AI: [Shows current state from AGENTS.md]
You: "Continue"
AI: [Advances to next task seamlessly]
- AGENTS.md tracks all tasks
- CLAUDE.md maintains context
- HANDOFF.md preserves state
- Requirements traced automatically
- Evidence trails created
- Quality gates enforced
You never switch modes.
You never lose context.
You just build.
Everything. Unified. Automatic.
- Statistical rigor built-in
- Reproducibility guaranteed
- R + Python full parity
- Experiment tracking (EXP-IDs)
- Model validation gates
- Evidence trail system
- Production safety gates
- Test coverage enforcement
- Security scanning built-in
- Code comprehension limits
- Deployment checklists
- Git safety protocols
No manual mode changes needed.
It just works.
tracked in the same AGENTS.md board.
Complete visibility.
End with deployed API.
Never lose context.
Never start over.
SE gates for production code.
Applied automatically.
AI knows what's next.
You stay in flow.
What you DON'T get (thankfully):
✗ No manual template switching
✗ No copying between systems
✗ No context loss
✗ No mode confusion
✗ No duplicate work
"Where Are The Testimonials?"
No fake testimonials.
No made-up metrics.
No borrowed social proof.
Just the truth:
I'm a data scientist who also builds.
Every day I switched between:
- Jupyter for analysis
- IDE for APIs
- Terminal for deployment
Lost hours to context switching.
Lost days to integration issues.
Lost weeks to coordination overhead.
Then I discovered orchestration.
Built FlowState DS for data work.
Built FlowState SE for engineering.
But switching between them?
Still painful.
So I unified them.
One framework.
One workflow.
One conversation.
• Week 1: Data analysis and modeling
• Week 2: API development
• Week 3: Integration and testing
• Week 4: Deployment and monitoring
• Day 1: Analysis through model
• Day 2: API and testing
• Day 3: Integration
• Day 4: Deployed
My team's reaction:
"How did you build the entire pipeline so fast?"
"Can you teach us?"
"What are you using?"
That's when I knew others needed this.
14-day money-back guarantee.
Try the unified workflow.
Build something end-to-end.
See if it transforms your work.
If not, full refund.
No questions.
Email: abe@flowstateai.dev
Discord: Founder's private channel
You will too.
Simple Math for Smart Builders
FlowState AI SE alone: $229
Total if separate: $378
• Two different workflows to manage
• Context switching between them
• Manual coordination overhead
• Integration nightmares
• Your sanity: Priceless
Immediate savings: $79
✓ One unified system
✓ Zero context switching
✓ Seamless integration
✓ 10x faster end-to-end
Time saved per week: 20+ hours
Weekly value created: $2,000+
- Full FlowState AI DS ($149 value)
- Full FlowState AI SE ($229 value)
- Unified orchestration framework
- Seamless domain switching
- Single conversation workflow
- Automatic quality gates
- 12 months of updates
- Private Founder's Discord
After that: $599 forever
Which One Are You? (Be Honest)
- Morning: Statistical analysis
- Afternoon: Building APIs
- Evening: Why won't they integrate?
- Debug with data analysis
- Build with statistical awareness
- Deploy with performance metrics
- Data pipelines AND services
- Models AND APIs
- Analysis AND deployment
- No team to hand off to
- Every task is yours
- Context switching hell
Two Types of Builders. Only One Ships.
Here's what happens next:
You have data work AND engineering work.
We all do now.
That's the reality of modern tech.
The question is:
Will you continue switching between systems?
Losing context, losing time, losing sanity?
Or will you unify your workflow?
One framework, one conversation, one flow?
- Builders using the bundle ship complete products.
- Builders using separate tools ship fragments.
- Builders with unified workflow own their domain.
- Builders without it beg for resources.
Right now: $299 (save $79)
November 15th: $599 (forever)
Right now: Founder's Discord access
After November 15th: Standard support
(Secret = FlowState Bundle)
$299 is the difference between A and B.
Choose wisely.
P.S. — While you're reading this, someone just initialized FlowState Bundle and started building an end-to-end ML system in one conversation. By dinner, they'll have it deployed. You're still thinking about it.
P.P.S. — That context switching is killing your productivity. You know it. I know it. Your incomplete projects know it. Fix it now, or compete against those who did.
