Gemini
Gemini 3 Overview
Evolution: Building on Gemini 1's multimodality and Gemini 2's reasoning, Gemini 3 arrives as Google's most intelligent model for multimodality and advanced reasoning.
Key Integrations:
Search: Powers generative user interfaces and codes custom interactive simulations.
Gemini App & API: Available now for tasks like learning, planning, complex video analysis, and developer building via Gemini 3 Pro.
Google Antigravity: A new software development platform utilizing Gemini 3's agentic coding capabilities.
Future Outlook: More features, sizes, and modalities will roll out over the coming weeks.
Introducing Gemini 3.7 Flash
Core Focus: Google introduces Gemini 3.7 Flash, its most intelligent workhorse model yet, specifically designed for coding, agents, and game development.
Demonstration (Game Building):
The presenter uses the model to build a 90s-style animated sprite game from scratch, utilizing custom generated assets (via "Nano banana").
Features highlighted include detailed graphics (like flame reflections), expansive maps, and strong prompt adherence.
Rapid Remixing & Adaptation:
Showing off agentic flexibility, the presenter modifies just a few words in the prompt (turning a sorcerer game into a pizza delivery driver in a suburb).
The model completely adapts the world, look, and gameplay mechanics (such as feeding pizza to dogs and raccoons) seamlessly.
Broad Capabilities & Availability:
Beyond gaming, the model brings major improvements to debugging, web development, and design adherence, helping users achieve high-fidelity results with fewer steps and less back-and-forth.
Gemini 3.7 Flash is rolling out now in Google Anti-Gravity, AI Studio, and the Gemini API.
Accelerating Design with Gemini's Deep Think Mode
The Power of Design: Grounded in a passion for building and helping others, good design can transform lives. By leveraging Gemini in Deep Think mode, creators can now design and iterate faster than ever.
AI in the Design Process: The speaker shares an example of designing accessibility products (for people with cerebral palsy or spinal cord injuries) and highlights how Deep Think makes the overall design process up to 10 times faster.
Iterating with AI Models:
Users can send images or prompts to generate multiple novel design options they hadn't considered.
In a test challenge using a turbine blade image, the model successfully generated a design that the user could interactively modify (adjusting blade pitch and shape) without needing prior CAD design experience.
Accelerating Innovation: AI tools act as powerful accelerants, enabling rapid exploration of material options and future technologies to solve global problems and bring products to market much faster.
Deep think semiconductor fabrication
Designing New Semiconductors with Deep Think
Breakthrough Results: A laboratory using Gemini's Deep Think mode to design new 2D semiconductors successfully grew a 130-micron-sized sample using a Deep Think-suggested recipe—exceeding their target of 100 microns and achieving the best result ever in their lab.
Overcoming 2D Material Challenges: As silicon reaches its limits, 2D materials (which have a one-molecular thickness) offer a futuristic choice for electronics. However, growing them is notoriously difficult because tuning parameters like gas flow and furnace heating typically takes human experts weeks or months to optimize.
Advanced Thermal Profiles: Instead of just giving a single temperature number, Deep Think provided an entire thermal profile by accumulating recent scientific advances.
Future Potential: The Deep Think API opens the door to automating laboratory instruments, marking just the beginning of AI-accelerated material science.
Here is a comprehensive summary of the guide on mastering Google Gemini prompts:
From Prompt Beginner to Prompt Architect
The Prompt Length Gap: While the average person uses only 9 words per prompt, Google notes that the most effective prompts contain at least 21 words.
The Four Pillars of Perfect Prompting: Treat your prompt like a job description using four key components:
Persona: Who Gemini is (e.g., an expert financial analyst).
Context: The background and "why" behind the request (e.g., audience constraints).
Task: The core instruction using a strong action verb (e.g., summarize, draft, analyze).
Format: The exact structure of the desired output (e.g., a three-column table, bulleted list).
Advanced Prompting Techniques
Chain of Thought Prompting: Instructing Gemini to explain its process before giving the final answer forces sequential reasoning, dramatically improving accuracy and logic.
Zero, One, and Few-Shot Prompting: Providing examples ("shots") in your prompt guides the model on formatting. Zero-shot uses no examples, one-shot uses a single example, and few-shot (like two-shot) uses multiple input-output pairs to lock in a desired structure.
Defining Audience Expertise: Beyond setting Gemini's persona, you can specify the target audience's level (e.g., "assume the reader is a middle school student") to automatically adjust complexity.
Productivity & Integration Tips
Gemini as a Prompt Author: You can ask Gemini to write optimized prompts for you. For instance, ask it to draft a prompt for generating a research report on a specific subject.
Connecting Google Apps: By enabling Google Workspace under settings and connected apps, you can type an ampersand (@) followed by the app name (like Google Drive) to pull live data directly into your chat.
What specific task or project would you like to build a 21-word prompt for using these four pillars?
Mastering SOLIDWORKS 3D Design with Advanced Prompting & AI
Applying the core pillars of effective prompting (Persona, Context, Task, Format) and advanced AI techniques can dramatically accelerate your 3D CAD modeling workflows, troubleshooting, and lab instruction design in SOLIDWORKS.
Here is how to structure advanced prompts for SOLIDWORKS engineering tasks:
Persona: Define the AI's role (e.g., "Act as an expert CAD engineer and SOLIDWORKS certified professional (CSWP)").
Context: Provide background on what you are building or teaching (e.g., "I am designing a parametric mechanical enclosure with snap-fit joints for a student prototyping lab, working with 3D-printed Prusa parts").
Task: Use strong action verbs for specific challenges (e.g., "Troubleshoot this lofted boss/base feature failure," "Optimize this bracket geometry for high stress tolerances," or "Generate a step-by-step lab instruction handout for an introductory extrusion and revolve exercise").
Format: Dictate the structure (e.g., "Provide the solution as a numbered step-by-step troubleshooting checklist with corresponding SOLIDWORKS feature tree recommendations").
Advanced Techniques for CAD Workflows
Chain of Thought Prompting for Simulation: When debugging a failed assembly mate or a complex FEA stress analysis result, instruct the model: "First, explain your diagnostic process for identifying interference or constraint conflicts before recommending the fix." This forces the model to methodically trace geometry errors.
Few-Shot Formatting for Macros: If you are writing or debugging VBA/C# macros for SOLIDWORKS automation, provide a few-shot example of a working macro snippet alongside your input to ensure the generated code matches your exact API function calls.
Would you like to draft a detailed 21-word prompt for a specific SOLIDWORKS modeling challenge or lab assignment you are currently working on?
Here is a structured, 21-plus-word prompt utilizing the four pillars (Persona, Context, Task, Format) tailored for designing a 3D carport in SOLIDWORKS:
Persona: Act as an expert CAD engineer and senior structural designer specializing in residential steel and timber framing.
Context: I am modeling a freestanding 3D carport for a residential property subject to local wind and snow loads, using parametric sub-assemblies for posts, beams, and roof trusses.
Task: Outline the optimal modeling strategy and feature tree hierarchy for building this carport parametric assembly in SOLIDWORKS, ensuring proper clearance and joint connections.
Format: Provide the response as a structured, step-by-step workflow guide with specific SOLIDWORKS feature recommendations (e.g., Weldments, Configurations, and Mate references) for each phase.
How to Use This in Your Workflow
Chain of Thought Addition: If you run into structural clearance errors or complex roof pitch intersections, append: "First, explain your diagnostic reasoning for how to handle multi-angle roof pitch mates before providing the step-by-step fix."
Iteration: You can feed this prompt directly into Gemini or use it to guide your modeling steps in SOLIDWORKS, adjusting dimensions or material properties as you iterate.
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