#🛎️service **We turn product ideas into concrete plans ready for development.** 🚀 > [!hint] Planning complements [[research]] > To enable effective [[design]] and [[build]] execution. --- ## What We Deliver - **Product roadmaps** with prioritized features and release sequences. - **Technical specifications** decomposing complex functionality. - **Tech stack recommendations** and solution architecture design. - **Implementation plans** mapping scope into development iterations. - **AI development kits** optimized for modern code generation tools. - **Team and resource strategies** including tool selection and workflow design. --- ## AI-Friendly Planning We create a documentation package optimized for AI code generation. ⚡ **Our approach includes:** - Advanced prompting techniques to extract comprehensive requirements from the initial brief. - Iterative specification refinement with LLMs to identify gaps, inconsistencies, and edge cases. - Modular information architecture in formats that AI tools can easily parse and understand. - Atomic feature breakdown, enabling step-by-step implementation with code generation tools. This approach enhances AI-assisted development with Cursor, Windsurf, Lovable, Bolt, and other modern development environments. --- ## Planning Outputs *We customize outputs to match your specific needs.* 🎯 *Below are some common examples.* ### Product Strategy - Product roadmap with prioritized features and release sequence. - Budget planning, team composition and sourcing strategy. - Evaluation of generative AI tools for development acceleration. - Tool selection and workflow design. ### Product Specifications - Domain model elaborating product entities and attributes. - User flow diagram outlining UI elements, user actions, and system processes. - Product functionality broken into atomic components. - Non-functional requirements for performance, security, and scalability. ### AI Development Kit - Tech stack guidelines for AI-assisted development. - Context templates, code patterns and architectural guidelines. - Integration specifications for APIs, databases, and services. - Prompt libraries for development and iterative refinement. --- ## Planning Process **Planning depth adapts to your needs.** We focus efforts where you need clarity most. ### Step 1: Concept & Context Discovery We analyze the product concept and business constraints, building on market insights and user research when available. Together, we define the product vision and establish success criteria that guide all subsequent decisions. ### Step 2: Product & Tech Specification We define what to build: product specifications, tech stack selection, and solution architecture. You get clear blueprints that translate your vision into buildable components. ### Step 3: Implementation Planning We map out how to build it: breaking scope into development iterations, sequencing features for maximum impact, and identifying smart resource alternatives. You receive a roadmap with clear next steps. --- ## Evaluate AI-Assisted Development Throughout the planning process, we help you navigate the evolving landscape of generative AI tools for product design and development. 🎓 You'll understand: - The opportunities and limitations of using gen AI for building your product. - Which available AI tools fit your specific case and why. - How to structure information and craft prompts that maximize AI effectiveness. - Which workflows can amplify your team's capabilities with AI assistance. By the end, you have both a comprehensive plan and an understanding of which AI tools may be useful for building your product and how to effectively use them. --- 🤙 Connect with [[Jaros]] for a casual intro. ![[02_plan.png]]