You have your design specs ready, but before you tell an AI agent to build your app, what comes next? In this episode of Build It, we walk through how to create a step-by-step implementation plan with zero coding required. Follow along as we prep our smart personal trainer app, turning our architecture docs into a crystal-clear execution roadmap so our agent never has to guess.
Instead of rushing straight into building, learn how to act like an architectural detective. You will discover how to prompt Gemini to uncover missing requirements, resolve contradictions across design documents, and compare what the model assumes versus what it recommends. Plus, see how to structure a four-stage milestone plan with Antigravity, complete with human checkpoints, autonomous browser testing, and rollback version control so you can build with total confidence.
Chapters:
0:00 - Intro
0:57 - Finding missing info and document contradictions
2:05 - Asking Gemini: Assumptions vs. recommendations
3:07 - Why updating specs in place preserves LLM context
4:00 - Creating backups to protect document integrity
5:15 - Structuring architecture docs for better model attention
6:53 - Why every AI app needs an implementation plan
7:29 - Breaking down the phase gated milestone approach
8:47 - Setting up human checkpoints and autonomous testing
10:06 - Adding version control and rollback safeguards
More resources:
Builder Central → https://g.dev/ai/builder-central
Google Antigravity → https://g.dev/ai/build-it-with-agy
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#GoogleCloud #Gemini #Antigravity #NoCode #AIAgents #BuildIt
Speaker: Devin Chase
Products Mentioned: Gemini, Antigravity, Google Cloud
Instead of rushing straight into building, learn how to act like an architectural detective. You will discover how to prompt Gemini to uncover missing requirements, resolve contradictions across design documents, and compare what the model assumes versus what it recommends. Plus, see how to structure a four-stage milestone plan with Antigravity, complete with human checkpoints, autonomous browser testing, and rollback version control so you can build with total confidence.
Chapters:
0:00 - Intro
0:57 - Finding missing info and document contradictions
2:05 - Asking Gemini: Assumptions vs. recommendations
3:07 - Why updating specs in place preserves LLM context
4:00 - Creating backups to protect document integrity
5:15 - Structuring architecture docs for better model attention
6:53 - Why every AI app needs an implementation plan
7:29 - Breaking down the phase gated milestone approach
8:47 - Setting up human checkpoints and autonomous testing
10:06 - Adding version control and rollback safeguards
More resources:
Builder Central → https://g.dev/ai/builder-central
Google Antigravity → https://g.dev/ai/build-it-with-agy
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#GoogleCloud #Gemini #Antigravity #NoCode #AIAgents #BuildIt
Speaker: Devin Chase
Products Mentioned: Gemini, Antigravity, Google Cloud