1
Week 1
Assessment & planning
- Kickoff: your data, processes, goals
- AI fundamentals workshop
- Identify 2–3 use cases to build
Learn — Path 01
1-month intensive
Project-based pricing
Understand AI. Build agents. Own the transformation.
A one-month intensive where your team becomes proficient with AI tools, agents, skills, and MCP integrations — independent and confident.
← Back to all offerings01 — Who it's for
Teams ready to move fast on AI and own the transformation.
- You know AI matters but don't know where to start
- Your team wants to build, not just consume AI
- You want internal capability, not external dependency
- You need to understand agents, skills, MCP, agentic backends
- You're ready for a hands-on, practical deep dive
- You can commit ~1 month of team time and focus
02 — What you learn
From fundamentals to advanced implementation.
01
AI fundamentals & LLM concepts
How LLMs work, Claude vs OpenAI, prompting, context windows, and practical limitations. Not theoretical — focused on building.
02
Building agents & skills
How to structure agents, define skills, handle tool calling, and manage state. Build proof-of-concept agents for your use cases.
03
MCP (Model Context Protocol) integration
Connect agents to your systems. APIs, databases, tools. Make agents do real work in your environment.
04
Agentic backends & workflows
Multi-step automation. Orchestration. How agents interact with each other and your systems. Advanced patterns.
05
Process automation for your business
Analyze your workflows. Identify AI opportunities. Build agents that cut manual effort on day-to-day tasks.
03 — How it works
Four weeks. Hands-on learning. Real outcomes.
2
Weeks 2–3
Building & training
- Hands-on agent development
- Agents, skills, and MCP workshops
- Build proof-of-concept agents
- Team learns by doing
3
Week 4
Advanced topics & handoff
- Agentic patterns & workflows
- Orchestration & multi-agent systems
- Documentation & knowledge transfer
- Plan next steps (agents or custom builds)
04 — What you get
Tangible outcomes at the end of four weeks.
✓
Initial assessment report
Your data readiness, process analysis, AI opportunities, and recommended use cases.
✓
Proof-of-concept agents
2–3 working agents you built during the coaching, ready to deploy or iterate on.
✓
Documentation & code samples
All the code, patterns, and documentation your team needs to continue building independently.
✓
Your team proficient in AI building
Claude, OpenAI, agents, skills, MCP, agentic patterns. Ready to build more agents, understand trade-offs, and own the work.
✓
Roadmap for next steps
Where to focus. Custom agents to build. Agents to subscribe to. How to scale AI in your organization.
05 — What success looks like
Your team finishes stronger than when you started.
- Team understands how to use Claude, OpenAI, and other LLMs
- Can build agents and define skills from scratch
- Understands MCP and how to integrate agents with your systems
- Knows agentic patterns and how to implement them
- Has 2–3 working proof-of-concept agents ready to deploy
- Ready to subscribe to agents or build custom solutions
- Confident to experiment and iterate independently
06 — Investment
Project-based pricing. Transparent.
By project or by hour
Scoped to your team and goals
Exact pricing depends on team size, complexity, and scope. We'll provide a clear estimate after our discovery call.
- Duration~1 month
- Our effort~80–120 hours
- Your team's effortFull participation required
- Team sizeIdeally 3–5 key people
- FormatWorkshops, hands-on coding, 1-on-1 mentoring
- Next step30-minute discovery call
07 — After coaching
Most clients then choose one of two paths.
Your team is now proficient. Time to scale — either subscribe to proven agents or build custom solutions for your unique needs.
FAQ
Common questions about coaching.
What if we don't have a strong technical background?
Even better. The coaching starts from fundamentals and builds up. Non-technical founders and business leaders often have the best ideas about where AI fits. We'll teach the technical concepts needed to build.
How much time does our team need to commit?
Full participation from 3–5 key people over ~1 month. That's typically 20–30 hours per person spread across 4 weeks. We design around your calendar.
What if we don't know which use cases to focus on?
That's exactly what the Week 1 assessment is for. We audit your processes, data, and operations together. By the end of Week 1, we'll have identified 2–3 high-impact use cases.
Can we customize the coaching agenda?
Absolutely. The framework is consistent (fundamentals → agents → MCP → agentic patterns), but we adapt the content and use cases to your business.
What happens after coaching ends?
Your team is independent and equipped to build. Most clients then either subscribe to agents or engage for custom agent development. We're here if you need follow-up or advanced projects.
Path 01 — Learn
Ready to level up your team on AI?
Let's talk about your team, your use cases, and what a coaching engagement would look like for you.