... content queue, brief storage 5. AIAsset.Market something we built ourselves: grades AI projects on whether they can actually be operated, transferred, and sold. Turns out most "AI tools" are demos, not assets. Useful when evaluating whether to build something vs. buy it. Curious if anyone else is starting to think about AI tools not just as tools but as acquirable assets? Comment from Dinko Andres(@rocket4ce): Here are my 5 (can't work without them): VS

... character, automatically. Motion operates as a director layer on top of leading video models. You set up your project, define your cast and world, and generate scenes. The consistency is handled at the platform level, not by manually feeding reference images into each generation. Currently in early access. Best for: indie filmmakers, brand video creators, and anyone building a multi-scene narrative who wants to skip the manual consistency workflow. motion.verticalstudio.ai 2. LTX Studio LTX Studio by Lightricks ... ... want to manage a whole project from script to final cut in one interface. Steeper learning curve than Motion but more production features. 3. Runway Gen-4.5 Runway is the established standard for cinematic AI video quality. Its Character Reference

... everyone While working with Claude Code in VS Code , I ran into a small but frustrating workflow issue. For months I ve been using Antigravity , which allows you to select code and press Ctrl + L to instantly send that snippet as context to the agent. Even better, you can repeat this multiple times in the same message, and the UI provides context chips that let you trace the referenced

... idea into scenes and shot beats. We get clarity first, then generate. 2) Elements: consistent characters and products If we need a character or product to look the same across scenes, we create it as an Element. Then we reference it consistently throughout the project. Less lottery, more control. 3) References

... connects directly to GSC and runs real-time analysis across 50+ SEO aspects: Top Page and Query Performance Top Mover Delta Analysis Growth and Decay Analysis Performance Trends Rank Disparity Analysis CTR Uplift Analysis Impression and CTR Segmentation Brand vs. Non-Brand Performance Cannibalization Analysis Topical Cluster Performance Device Parity Analysis Device Distribution Country Performance Long Tail Performance Trust and Authority Analysis Then it doesn't just report it. It moves from Performance Opportunity Analyze Fix Apply. Automatically. Comes with ... ... Tracking Citation Tracking Monitored across Gemini, ChatGPT, Claude, Perplexity, Grok, and LLaMA. It surfaces missing semantic anchors, authority gaps, structural issues, knowledge reinforcement weaknesses, and citation loss vs

... right characters + environments per scene, and generates model-specific prompts so scenes don t get created in isolation (and drift). 2) Elements (persistent characters, props, products) Anything that must stay identical becomes an Element: Characters Props Products You reference them inside scenes as Element1, Element2, etc. So the model isn t guessing your product or character every time - it s anchored. Pro tip: angle references

... required: true, description: 'Date (YYYY-MM-DD)' }, time: { type: 'string', description: 'Time (HH:MM)' }, location: { type: 'string', description: 'Location or address' }, description: { type: 'string', description: 'Additional details' }, }, { displayName: 'Events', description: 'Calendar events and appointments', }); Schemas support string, number, and reference types. Required fields are validated on insert. # Python SDK mnx.records.define_schema('events', { 'title': { 'type': 'string', 'required': True, 'description': 'Event title' }, 'date': { 'type': 'string', 'required': True, 'description': 'Date (YYYY-MM-DD)' }, 'time': { 'type': 'string', 'description': 'Time (HH:MM)' }, 'location': { 'type': 'string ... ... pipeline loads all schemas for your project and dynamically generates LLM tool definitions (create_events, update_events, search_records) Context injection Any previously recalled records are included in the prompt so the LLM knows what already exists and can reference

... change a generated clip, you regenerate it. All of it. Every tool faces this same constraint. But here's what frustrated me: I couldn't control the inputs with any precision. I couldn't: Upload my own character reference and have it appear consistently across scenes Specify camera angles and shot composition Control the start and end frames of a clip Make the same character appear in Scene 1 and Scene 3 wearing the same outfit Use different narration voices ... ... problem was the workflow. I needed to control what got generated, not just hope the prompt worked. So I built RizzGen with a scene-based architecture: Break your video into scenes with a storyboard and script Upload character references

... detail and sharpness in seconds. Two Powerful Modes Text to Image : Describe your vision in simple words, and watch Nano Banana Pro bring it to life with stunning 4K quality. No design skills required. Image to Image : Upload any reference image (JPG, PNG, WebP, GIF) and transform it into something new. Apply style transfer, enhance details, or completely reimagine your photos with AI-powered precision. Why Nano Banana Pro? Stunning 4K Quality Output Generate genuine 4K resolution images ... ... Efficient Generate beautiful 4K images in seconds, not minutes. Optimized performance lets you iterate quickly and experiment freely. More speed means more creativity and better results. How It Works (3 Simple Steps) 1 Upload Your Image Upload any reference

... noticed asking for referrals often feels like asking a co-worker you haven t spoken to in years for a reference

... enhancements to make conversations more intuitive. Smarter context retrieval Significantly improved how we surface relevant information when asking questions about groups of cards or tags. This fixes the issue where answers previously favored just one or two cards. Precise reference highlighting Clicking on a reference

... large language models (LLMs) such as ChatGPT, Claude, Gemini and Perplexity mention and cite brands. The platform monitors brand mentions across these models in real time, analyses sentiment and provides prompts showing how and where the brand is being referenced. It also sends real time alerts when a brand is cited by an AI model and offers competitor

... This one is especially useful for anything customer support related: a ' source of truth ' knowledge base. Now you can upload files to your agents for them to reference when executing actions, see how to do this below (it takes less than one minute ...

... Bolt. Maintaining markdown files that document your app s current data model, product roadmap, and overall vision helps Bolt make more informed decisions especially in the early and mid stages of development. (Once you're moving toward production, these references become less essential.) Tactical Prompting Tips Explicitly instruct Bolt with phrases like, "Do not make code changes," during brainstorming sessions to prevent it from immediately jumping into code. This has been helpful for me when I just want to talk ... ... through a problem. Keeping a secondary AI assistant (like ChatGPT or Claude) available, and feeding it markdown reference