Tool: Gemini 2.5 Flash Image (Nano Banana) Why This Tool: Google's Nano Banana lets you generate images from text and edit them with simple instructions, all while keeping characters and subjects consistent across multiple images (perfect for creating branded content series without hiring a designer for every variation). Best For: Coaches creating consistent social media content series, small business owners building branded visual campaigns, marketers testing ad concepts before hiring designers, content creators who need the same character or product across multiple scenes Cost: Available through Gemini app with usage limits based on your Google AI plan (check ai.google.dev/pricing for current rates) Website: https://gemini.google/overview/image-generation/ Quick Win Prompt: "Think of a character or mascot that represents your brand (could be a person, animal, or object). Open the Gemini app, describe your character in detail (appearance, clothing, style), and generate your first image. Then create three more images with that same character in different settings or poses using prompts like 'the same character now holding a coffee cup' or 'the same character at a desk working.' You now have a consistent visual identity for your next content series." Other Things Nano Banana Can Do: - Natural language editing: Take any generated image and refine it by simply describing what you want changed (like "make the background darker" or "add a laptop on the desk") - Multi-image combining: Merge elements from several source images into one cohesive result, perfect for creating composite mockups or blending brand elements - API integration: Build Nano Banana directly into your apps or workflows using Gemini API or Vertex AI for automated image generation at scale - Precise character consistency: Generate entire visual stories or product demonstrations where the same face, outfit, or branded element appears reliably across dozens of images

Today I worked on a small proof of concept for a B2B lead generation setup called NexaGrowth. The goal was to see how AI could quickly qualify incoming leads without adding complexity. The workflow starts with new leads coming in through a Google Form and webhook trigger. Once a submission comes in, the data is sent to OpenAI where the lead is analyzed to classify the industry, estimate company size based on the description, and assign a lead score from 1 to 10. That output is then structured cleanly and pushed into Airtable so the data is easy to review and filter later. If the lead score comes back as 8 or higher, the automation instantly sends a Slack notification so the team can act fast on high intent leads. Nothing fancy, just clean logic, clear prompts, proper data mapping, and basic error handling to keep the flow stable. This kind of setup is a great example of how AI can support lead qualification without replacing existing systems or overengineering the process. Simple automations like this often deliver the quickest wins.