Im so amazed how all things that the Base44 AI can be created and the program is thinking ahead of the creator with just using the past data. -My Ethical marketing network frame is almost ready, has anyone else used the same ? -TIps of something special I could add on the frame for Freelancers use?

After logging 300+hours of intensive AI use in the last six weeks, after the AI bootcamp, 40 days ago from Nov 6th, 2025, running real workflows—not demos—I made a decisive platform shift to GEMINI PRO. Below is the exact rationale, from my personal and practical use documented for transparency and repeatability at the request of some of my followers. ChatGPT — Limitations Observed in High-Intensity Use (300+ Hours of Practical Work) ✘ Inconsistent reliability during peak usage hours; frequent bottlenecks ✘ Constantly have to reopen new chats to continue an existing workflow ✘ Consistently forces the user to refresh the chat when it crashes ✘ Uses DALL·E for image generation (Inferior MCP connector) ✘ Very poor quality in image AI generation ✘ Uses report PDF generator, which is inaccurate and does not parse text properly ✘ Does not produce native video outputs in comparison to Gemini Pro VEO 3 or upcoming VEO 4 power ✘ Does not integrate like Gemini Pro with Google Videos, Products, and Workspace ✘ Does not check Gmail inside the chat interface ✘ Uses folders, but does not use Gems like Gemini Pro, which are sub-agents with rules, (Time Saver) Gemini Pro — Why I Transitioned (Now Operating as “Nautilus”) ✔ Exported ENTIRE history of conversations from ChatGPT to Gemini Pro very easily. ✔ Stronger long-context persistence across extended conversations ✔ Stable performance during sustained, high-intensity usage ✔ Supports structured agent orchestration with Gems ✔ Enables purpose-built autonomous agents (“Tritons”) ✔ Reduces prompt redundancy through retained role-specific logic ✔ Scales horizontally without performance collapse ✔ Better aligned with real business, automation, and execution workflows ✔ Superior image creation with Nana Banana Pro ✔ Superior creation of videos with VEO3 & VEO4 ✔ Checks Gmail inside Gemini Pro chat interface (Genesis Pro user face) ✔ Pulls YouTube videos directly inside the UI chatbox, which GPT does not do ✔ Grabs direct research from Google, which ChatGPT cannot do

Hello, Is it possible to watch the recordings of the AI Advantage Summit? Please let me know if that's at all possible. Thank you, Jack Garcia

A lot of AI “adoption” discussions stay at the mindset level. Useful, but I’ve found progress usually comes from much more boring mechanics. What’s worked best for me so far: 1. Pick a task with a small blast radius.Summarisation, classification, first-draft support. If it fails, it’s annoying — not dangerous. 2. Define “good enough” upfront.Not “be smart”, but constraints like: cite the source, ask clarifying questions when unsure, and never take actions without human confirmation. 3. Design for being wrong.Assume the model will misunderstand. Make uncertainty visible, log failures, and do a quick weekly “what broke?” review. 4. Only then scale.If one narrow use case isn’t reliable and repeatable, adding more prompts/agents just multiplies confusion. Confidence with AI has come less from mindset shifts and more from seeing the same small workflow work 10 times in a row without surprises. Curious what others here consider a “safe first win” use case — especially ones that still hold up after the novelty wears off.