1
Company knowledge sharing
Goal: Align AI knowledge levels across the company.
- One-off or recurring format.
- Map AI usage maturity across teams.
- Identify opportunities to improve AI adoption.
- Unify best practices across the company.
Module options
2
Tooling and team strategy
Goal: Equip the team and set up effective processes.
- Tooling battle: compare available tools by price/performance.
- Rules for secure usage in a team setup.
- Environment configuration: IDE setup aligned with company standards.
- Sub-agents: practical inspiration for specialized agents in different delivery phases.
3
Advanced workflows
Goal: Accelerate delivery and analysis phases.
- Deep research & PRD: requirements, research, best practices, and handling client feedback.
- Legacy code analysis: understand unfamiliar projects in minutes.
- Case study: finding 120+ app speed improvements in 2 hours.
- Security & QA: AI for security audits and first-layer code review.
Interactive demo baseline
- Scale: 160k+ LOC codebase, 97% written with AI.
- Lifecycle: 2 commercial SaaS projects delivered from prototype to production, 100% AI-written.
LanguageCzechEnglish
LocationOn-siteOnline
How collaboration works?
- 1
Strategic call
We discuss your current situation, expectations, team seniority, and collaboration scope. Together, we identify the key opportunities to develop next.
- 2
Approach proposal
We select the most suitable format for knowledge transfer.
- 3
Execution
Online or on-site, with space for questions and your specific real-world situations.
- 4
Evaluation and next steps
Review feedback and define recommended follow-up actions.
