some more typos

content/posts/2023-shape-up-ai-products/index.md

@@ -1,19 +1,21 @@
 ---
 title: "Shape Up for AI Products: Prototyping while Shaping"
 date: 2023-11-16
-summary: "Exploring the synergy of shaping and prototyping in AI project management using Shape Up methodology."
+summary: "Exploring the synergy of Shaping and Prototyping in AI project management using Shape Up methodology."
 categories: ["Product"]
 tags: ["AI Development", "Project Management", "Shape Up", "Prototyping"]
 ---
 
-In software, outcomes can never be guaranteed. This is why Shape Up excels with its fixed-time, variable-scope approach.
+In software, outcomes can never be guaranteed. This is why Shape Up excels with its fixed-time, variable-scope approach, allowing strategic deployment of ressources.
 
 But, outcomes can be even harder to guarantee when you build products on top of some form of AI like LLMs.
 This is why de-risking projects with a structured yet flexible approach like Shape Up is even more important.
 
+Let me explain.
+
 ## Framing - Laying the Foundation
 
-The journey begins with framing. This initial phase is all about understanding and articulating:
+The journey begins with Framing. This initial phase is all about understanding and articulating:
 
 1. **The Problem**: What specific challenge or need is the AI project addressing?
 2. **The Context**: What are the environmental, technological, and business contexts in which this problem exists?
@@ -23,26 +25,26 @@ Framing sets the stage, offering a clear, focused lens through which the entire
 
 ## Shaping - Crafting the Solution Space
 
-Once the frame is set, shaping takes the helm. This phase involves:
+Once the frame is set, Shaping takes the helm. This phase involves:
 
 1. **Exploring Solutions**: Brainstorming potential ways to address the framed problem.
 2. **Refining Ideas**: Narrowing down the ideas to those most viable and aligned with the project's goals.
 3. **Prototyping**: Testing and experimenting with these ideas to see what works and what doesn't in a low-risk environment.
 
-Shaping is where creativity meets pragmatism. It's a time for open-ended exploration, but always within the boundaries set by the framing phase.
+Shaping is where creativity meets pragmatism. It's a time for open-ended exploration, but always within the boundaries set by the Framing phase.
 
 ## Prototyping: Bridging Shaping and Building
 
-By weaving prototyping into the shaping phase, Shape Up creates a dynamic and responsive environment for AI project development. It allows teams to:
+By weaving Prototyping into the Shaping phase, Shape Up creates a dynamic and responsive environment for AI project development. It allows teams to:
 
-1. **Test Feasibility**: Determine if the ideas generated during shaping are technically and practically feasible.
+1. **Test Feasibility**: Determine if the ideas generated during Shaping are technically and practically feasible.
 2. **Gather Early Feedback**: Obtain insights from stakeholders, users, or team members, refining the approach based on this feedback.
 3. **Risk Mitigation**: Turn abstract concepts into tangible prototypes, reducing the unknowns and uncertainties inherent in AI development.
 
 Prototyping is not about creating a polished product; it's about learning, experimenting, and adapting.
 
 ## Conclusion: A Strategic Approach for AI Projects
 
-That you need to prototype to build an AI product is clear.
+That engineers need to prototype to build an AI product is clear. But you don't need to pause your product process while they are doing it.
 
-But combining Prototyping with Shaping unlocks even more: both the Shaping and the Prototyping of the tech are more efficient.
+Prototyping while Shaping makes both Shaping and the Prototyping of the tech more efficient.