Stop Burning Runway on Slow Engineering 🔗

Train Your Team to Ship 3-5x Faster with AI-Powered Workflows 🔗

For CTOs, Engineering Leaders, and Technical Founders at Funded Startups

Your team is good. But they’re too slow.

Every sprint that drags on is runway burned. Every competitor using AI workflows is shipping faster than you. Every month you wait, the gap widens.

The problem isn’t your engineers. It’s their workflows.

I’ll train your team to leverage the same AI tools and workflows I use to deliver MVPs in 10 days - so they can ship features in days instead of weeks.

Result: 3-5x velocity gains within 30 days. Measurable ROI. No fluff.

The Reality Check 🔗

You’re a CTO or technical founder. Here’s what you’re dealing with:

  • Runway pressure: Every slow sprint burns €50k-100k+ in salaries while competitors ship faster
  • Hiring doesn’t scale: Adding engineers takes 3-6 months and costs €100k-150k per head
  • AI hype fatigue: Everyone talks about AI, but nobody shows you practical workflows that actually work
  • Team skepticism: Your engineers tried Copilot, weren’t impressed, and now dismiss all AI tooling

Meanwhile, competitors using modern AI workflows are shipping 3x faster than you.

The gap isn’t talent. It’s tooling and workflows.

What Your Team Gets 🔗

Immediate Velocity Gains:

  • Ship features in 3-5 days instead of 2-3 weeks
  • Reduce manual deployment and testing overhead by 60-80%
  • Cut time spent on boilerplate, documentation, and repetitive tasks
  • Deploy multiple times per day with confidence

Practical AI Development Skills:

  • Claude Code workflows your team will actually use daily
  • MCP protocol integration for custom tool access
  • When to trust AI, when to review, and how to catch mistakes
  • Code review practices for AI-assisted development

Business-Wide Automation:

  • N8N workflows that eliminate manual ops work
  • Sales call intelligence and CRM automation
  • Marketing content generation and campaign workflows
  • Customer feedback pipelines that auto-create GitHub issues

The ROI is Simple:

  • If one engineer saves 20 hours/month, that’s €12k-15k/year value
  • If your team ships one feature 2 weeks faster, what’s that worth?
  • If you avoid hiring 1-2 additional engineers, that’s €160k-300k saved

How It Works: Simple, Focused Sessions 🔗

Forget multi-day workshops. This is structured as focused, hands-on calls that fit into your schedule.

The Format 🔗

4 Sessions × 2-3 Hours Each (Remote)

Session 1: AI Development Foundations

  • Claude Code setup and first workflows with your codebase
  • Real feature implementation (we build something live)
  • Code review practices for AI-assisted development
  • Your team leaves with working code

Session 2: Automation & Deployment Workflows

  • N8N automation for your specific use cases (sales, ops, or engineering)
  • GitHub Actions for CI/CD automation
  • Build 2-3 automations for your business during the call
  • Deploy them before we finish

Session 3: Advanced AI Workflows

  • MCP protocol and custom tool integrations
  • AI for non-code work (marketing, content, operations)
  • Advanced Claude Code patterns
  • Team workflow optimization for your stack

Session 4: Implementation & Scale

  • Review what your team built between sessions
  • Troubleshoot blockers and edge cases
  • Build your 30-day velocity roadmap
  • Q&A and ongoing support plan

What’s Included 🔗

During Training:

  • 4 focused sessions (2-3 hours each) spread over 2-4 weeks
  • All sessions recorded for your team
  • Hands-on builds during every call (no theory-only sessions)
  • Custom automations built for your business
  • Direct access to me via Slack between sessions

After Training:

  • 2 weeks of Slack support for implementation questions
  • All recordings and code/workflows we built together
  • Follow-up check-in call 30 days later

Investment: €12,000

Add-On: Leadership Strategy Session 🔗

1 Session × 2 Hours (Remote)

For CTOs and technical founders who want strategic guidance before committing to full team training.

What We Cover:

  • AI tooling landscape: what’s useful, what’s hype
  • ROI analysis for your specific team size and burn rate
  • Tool selection framework tailored to your stack
  • Team readiness assessment
  • Implementation roadmap

Investment: €2,000 (credited toward full training if you book within 30 days)

This Is For You If: 🔗

✅ You’re burning runway on slow engineering - Your team takes weeks to ship what should take days

✅ You’re a funded startup - Seed to Series B, 5-50 engineers, €12k-15k training budget is no problem

✅ You need velocity NOW - Competitors are moving faster, and you can’t afford to wait

✅ You’re willing to change workflows - You’ll adopt new tools if they deliver measurable results

✅ You want hands-on training - Not slide decks. Real code, real automations, real results

This Is NOT For You If: 🔗

❌ You think AI will replace your engineers - It won’t. It makes good engineers better. Bad engineers are still bad (just faster at being bad).

❌ You’re not willing to change workflows - This requires adopting new tools and practices. If your team is rigid, this won’t work.

❌ You want a magic bullet - AI tooling is powerful, but still requires skill, judgment, and effort. No shortcuts to quality.

❌ You don’t have technical leadership buy-in - If your CTO/eng leads aren’t on board, training will fail. Period.

Why This Works (And Most Training Doesn’t) 🔗

I Build Production Software, Not Slide Decks: I ship MVPs in 10 days using these exact workflows. This is practitioner knowledge, not consultant theory.

You Leave With Working Systems: No PowerPoints. We build automations for YOUR business during the training. You walk away with real, deployable workflows.

ROI in 30 Days, Not 6 Months: Teams see 2-3x velocity gains within 30 days. If that saves even 1 engineer’s salary (€80k-120k/year), this pays for itself immediately.

Tailored to Your Reality: I adapt to your tech stack, team structure, and actual challenges. No generic “AI 101” content. We solve your specific bottlenecks.

Technical Leadership Gets It: CTOs and engineering leaders appreciate the honest, no-BS approach. I tell you what works, what doesn’t, and what’s overhyped.

What Decision-Makers Say 🔗

“We went from 3-week sprint cycles to shipping features in 4-5 days. The automation workflows alone saved us 20 hours per week of manual work. ROI was immediate.”

— CTO, Seed-stage SaaS (€1.5M raised)

“Nasir doesn’t waste time. He taught us exactly what we needed, built automations for our actual workflows, and our velocity doubled in 30 days. Best training investment we’ve made.”

— VP Engineering, Series A Fintech

“We thought we were using AI tools. Turns out we were using 10% of their capability. Nasir showed us the other 90%. Worth every euro.”

— Technical Founder, Pre-seed AI Startup

Who This Training Is For 🔗

Engineering Teams:

  • Junior to senior developers who want to ship faster
  • Tech leads who need to scale team output
  • DevOps engineers automating deployments

Product & Operations:

  • Product managers coordinating feature development
  • Operations teams drowning in manual processes
  • Customer success teams processing feedback at scale

Marketing & Content:

  • Marketing teams creating content and campaigns
  • Video editors and content creators
  • Growth teams building and testing campaigns

Leadership:

  • CTOs evaluating AI strategy and tooling
  • Engineering directors scaling team velocity
  • Founders who need their team to move faster

Tech Stack We’ll Cover 🔗

AI Development Tools:

  • Claude Code (primary focus)
  • Cursor, Windsurf, GitHub Copilot
  • MCP protocol and custom integrations
  • AI-powered code review and testing

Automation Platforms:

  • N8N for workflow automation
  • GitHub Actions for CI/CD
  • Custom Telegram/Slack bots
  • Zapier alternatives and self-hosted solutions

Development Workflows:

  • Modern frameworks (Next.js, FastAPI, Django)
  • API-first architecture
  • Rapid prototyping techniques
  • Production deployment practices

AI for Non-Code Work:

  • Marketing automation and content generation
  • Video editing with AI tooling
  • Document processing and data extraction
  • Customer insight analysis

Pricing 🔗

€12,000 flat

What’s Included:

  • 4 hands-on training sessions (2-3 hours each)
  • Spread over 2-4 weeks, remote
  • Up to 10 participants
  • All sessions recorded
  • Custom automations built during calls
  • 2 weeks Slack support
  • 30-day follow-up call

Payment:

  • 50% upfront to secure dates
  • 50% after session 2

Availability:

  • Taking 2-3 companies per month
  • Book 2-3 weeks in advance

How to Get Started 🔗

1. Book Discovery Call (30 min, free): We discuss your team’s current workflows, challenges, and velocity goals. I’ll tell you honestly if this is a good fit.

2. Schedule Your 4 Sessions: Pick dates that work for your team (spread over 2-4 weeks). Sign agreement, pay 50% deposit.

3. Pre-Session Setup: Your team sets up Claude Code, N8N, and other tools (I provide setup guides and support).

4. Training Sessions: 4 hands-on calls where we build real workflows and automations for your business.

5. Implementation Support: 2 weeks of Slack support + 30-day follow-up call to ensure you’re seeing velocity gains.

Why I’m Qualified to Teach This 🔗

20 Years Building Software: From J2EE monoliths to AI-powered SaaS. I’ve seen what works and what doesn’t.

Proven Speed: I deliver MVPs in 10 days using these exact workflows. My clients get working software when others are still planning.

Production Experience: These aren’t theoretical frameworks. I use Claude Code, N8N, and AI tooling daily on live production systems.

Teaching Experience: I’ve trained developers, PMs, and founders on AI workflows. Teams see immediate velocity gains.

Real Portfolio:

  • Built Rudys.AI (AI SaaS) in 6 weeks with paying customers
  • Ship features in hours using automation and AI
  • Delivered 50+ projects using these methods

See What I’ve Built → | Why I’m So Fast →

FAQ 🔗

Q: Is this just prompt engineering training? A: No. This is full-stack AI workflow training covering development, automation, operations, and business processes. Prompt engineering is 10% of what we cover.

Q: Do we need to use your exact tech stack? A: No. I adapt to your stack. The principles and workflows work across languages and frameworks.

Q: Will AI replace our developers? A: No. AI augments developers. Good engineers become 3-5x more productive. Bad engineers stay bad (but faster at being bad).

Q: What if we’re already using GitHub Copilot? A: Copilot is one small piece. This training covers Claude Code, MCP, N8N automations, deployment workflows, and business process automation - way beyond code completion.

Q: Can we do this training remotely? A: Yes, but in-person is significantly more effective. Remote option available at 20% discount (€20k for 3-day, €32k for 4-week).

Q: Do you offer ongoing support after training? A: Post-training support is included (2 weeks to 1 month depending on package). Extended support available at €3k/month.

Q: What’s the typical ROI? A: Teams typically see 2-3x velocity improvements within 30 days. If that saves even one developer’s time (€80k/year), ROI is immediate.

Q: Can you train non-technical teams? A: Yes, especially for Option 3 (Executive Crash Course) and for ops/marketing/content teams using AI for non-code work.

Ready to Train Your Team? 🔗

Most companies waste months figuring out AI tooling on their own. You can shortcut that with proven workflows and hands-on training.

Next Steps:

  1. Book a 30-Minute Discovery Call (free)
  2. We’ll discuss your team’s needs and challenges
  3. I’ll recommend the right training format for you
  4. Schedule training and transform your team’s velocity

About Me 🔗

I’m Nasir Shadravan. 20 years building software, 5+ years in AI/ML engineering.

I ship MVPs in 10 days using Claude Code and modern AI workflows. I’ve built SaaS products, internal tools, and automation systems that operate in production daily.

I prefer building and teaching over consulting and theory.

LinkedIn | X/Twitter | GitHub

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