The new ChatGPT Images update just landed, and it’s a clear reminder: we’re in a new era of AI imaging. If you want the most photorealistic, believable, pro-ready visuals in 2025, here’s the current landscape — and which tools are strongest for real work, not just cool hobby outputs. 🔗 OpenAI just announced updated image capabilities: https://openai.com/index/new-chatgpt-images-is-here/ 🥇 1) ChatGPT Images (GPT Image 1.5+) Strengths: • Very strong at understanding complex prompts • Excellent multi-modal capability (text + visuals) • Great for consistent character direction and scene adjustments • Superb at compositional reasoning Best use cases: • Concept visuals from text alone • Image editing with context • Storyboarding and descriptive creative work Why it matters: GPT Image thinks about visuals with context — not just style replication. This gives it realism that actually makes sense to a human viewer. 🥈 2) Nano Banana Pro Strengths: • Exceptional photo-realism • Stable, consistent character and object generation • Strong lighting and texture handling • Minimal plastic/CGI feel Best use cases: • Portraits and people • Fashion campaigns • Product visuals • Instagram/brand imagery Nano Banana often produces the most believable individual frames — particularly for people, faces and real-world textures. 🥉 3) Seedream 4.5 Strengths: • Very good at detailed backgrounds • Strong compositing and layered edits • Works well with mixed reference concepts Best use cases: • Environment-rich scenes • Complex edits with multiple subjects • Composite storytelling visuals While not always as “pure photoreal” as Nano Banana, Seedream shines when you want scene and mood integration. ⚙️ Honorable Mentions MidJourney (latest models) • Beautiful stylized results • Great for artistic direction, less so for strict realism Stable Diffusion (custom pipelines) • Highly tweakable • Great for fine control over identity/style consistency

My name is Jennifer Hudson I'm new here

Running the simple gap analysis that igor posted in "Hacks of the Week" has been a game-changer for my work. Instead of vaguely trying to “be different,” I can now see exactly where the crowd is clustered, where clients are still underserved, and where there’s real room to build value. It turns a fuzzy sense of “competition” into a concrete map of opportunities, blind spots, and leverage points I can design around on purpose instead of by accident. It also makes my AI work 10x more effective, because I’m no longer asking for generic ideas—I’m feeding it a clear picture of what already exists and then directing it toward the empty spaces. That means more focused offers, sharper messaging, and product ideas that are naturally more aligned with real unmet needs, not just what sounds good in my head.

Within the SAME chatgpt/claude/deepseek conversation, run these prompts in this exact order: Prompt #1: Based on everything you know about me, what is the fastest way for me to make <INCOME GOAL>? Limit to 1 offer and 1 channel. Prompt #2: Who is the #1 person I should learn from to succeed? Prompt #3: Pretend you are that person. Create a simple 90-day action plan that needs <$1,000 upfront and has a 95% chance of success. List the top 3 risks.