NOVA

@NinaAImarketing We’ve officially entered the AI cinema era

Higgsfield Original Series just launched and Arena Zero genuinely feels like required viewing for anyone in AI. This isn’t “what’s possible someday” this is happening right now.

@AIwithGhotai @ThineAI Everyone chasing benchmarks, they’re chasing understanding

My whole feed is AI benchmarks and feature announcements and then @thineai drops this and resets everything.

My OpenClaw bot runs 6 AI agents 24/7 - and I'm giving away the exact skill file for free: - Scouts local businesses without a website - Audits their web presence and scores opportunities - Builds a custom demo site + walkthrough video automatically - Sends cold outreach with the live preview + payment link - Handles objections and closes the sale via email - Maintains existing clients on autopilot Bring your own API keys. No subscription. Fully automated. Reply "SKILL" and I'll send it to you (must be following)

@AIwithGhotai This feels like a no-brainer for real estate teams.

Turning messy real estate docs into clean, source-cited underwriting models in Excel is a massive unlock. This is exactly where AI agents shine high-stakes, detail-heavy workflows done faster and more reliably. Big congrats on the launch 👏

@AIwithGhotai Agents on top of solid models = where real value starts.

This might be the most “AI-heavy” earnings in Tencent’s history but the real shift is deeper than that: 👉 The model narrative is finally back on track. We’re now seeing: • Clear iteration path (Hunyuan 2.0 → 3.0) • Continuous capability improvements (reasoning, efficiency, multimodal) • Direct integration into live products like Yuanbao 📌 This also reflects a broader commitment: Tencent continues to invest in advancing its foundation models, positioning AI as a long-term growth driver rather than a short-term cycle. 📌 After a phase of uncertainty across the industry, Tencent is moving into a predictable execution cycle and that’s a big deal. And with AI agents like Qclaw and WorkBuddy emerging on top of this model layer, the roadmap is extending beyond capability toward real-world task execution.

@futurebylea This could seriously improve agent reliability.

The difference between a 10x developer and a 1x developer isn't typing speed. It's that the 10x dev spends 20% of their time planning so the other 80% isn't wasted. CodeRabbit Planner just automated that 20%.

I just vibe coded a Meta Ad spy tool in Claude Code 🤯 Meta just made it possible to sort any brand's ads by *highest impressions* for the first time. Which means you can now see *exactly which competitor ads* are getting the most views. But clicking through the Ad Library one brand at a time is still painful. So I built a tool that pulls it all into one place: One brand URL in → top ads scraped, organized, and fully analyzed by AI. Here's how it works: → Import any brand with their Ad Library URL → Apify scrapes their top-performing ads automatically → Click into any ad for full breakdown (headline, copy, CTA) → Gemini watches the video or analyzes the image → Returns asset type, visual format, messaging angle, hook tactic, offer type No manual research. No watching videos one by one. No messy spreadsheets. Here's what I built: - 50+ DTC brands already loaded (AG1, Caraway, Chomps, Dr. Squatch, Gruns, Jones Road, Magic Spoon, Ridge) - Weekly auto-scrape to refresh top ads - AI analysis on any ad in one click - Bookmark system to save winners - Filter by brand, category, media type, or AI tags Built 100% in Claude Code. I recorded a full step-by-step showing exactly how I built this, including ALL the prompts. Want access to all of the prompts for ree? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

@AIwithGhotai How does the 'memory' work? Does it remember context across days/weeks

🔥 While you sleep, OpenClaw works. While you eat, OpenClaw works. While you binge Netflix. you get it. No Mac Mini. No coding skills. No headaches. Just click, deploy, and watch your AI agent run 24/7. Get started in 30 seconds →

Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a skill inside Claude Code that writes JSON image prompts for Nano Banana 2, and the outputs look like they came from a professional photo shoot. One plain-text prompt. Claude rewrites it as structured JSON with lighting, camera, composition, style, and negative prompts. Then fires it off to Nano Banana 2. All inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without booking a shoot. If you're using Nano Banana 2 for product shots and lifestyle images but every generation feels like pulling a slot machine lever — random lighting, inconsistent style, plastic skin, misspelled labels ... This skill fixes the entire output: → You describe what you want in plain English → Claude rewrites it as a structured JSON prompt (lighting, camera angle, lens, depth of field, color grading — all of it) → Fires it to Nano Banana 2 via API → Saves the prompt + image in organized folders → You iterate on the style until it's dialed, then every output matches No more slot machine prompting. No more inconsistent brand imagery. No more burning credits on unusable generations. What you get: - Photo-realistic product shots and lifestyle images on demand - Full control over style, lighting, composition, and camera settings - Saved JSON prompts you can reuse across every campaign - A skill that gets smarter the more feedback you give it Built 100% in Claude Code with a custom skill + Python scripts. I put together a full playbook showing the exact skill, the JSON schema, and the workflow to set this up yourself. Want the full playbook? > Like this post > Comment "BANANA" And I'll send it over (must be following so I can DM)

@AIwithGhotai Verification loops are a game changer.

Most LLMs optimize for speed. MiroThinker-1.7 optimizes for reliability. Agent-native training + verification-centric reasoning = Al that validates its own logic across multil step chains. Not just generating text. Actually solving complex problems,

My OpenClaw bot builds websites & mails a postcard with a QR link to local businesses on autopilot... You can use it to land new customers without a single cold call, here's how it works: - Finds 100s of local businesses via Google Maps - Builds each one a custom website in minutes - Prints a real postcard with their site preview + QR code - Mails it directly to their door - They scan it, see their site, and reach out - Runs 24/7 completely hands off Direct mail gets a much higher response rate than cold email. Reply "OpenClaw" and I'll send you the full breakdown of how you can do it too (must be following so I can DM)

@Zai_org Epic imagery! A claw-some rider on a turbo-charged steed – perfect metaphor for GLM-5-Turbo dominating agent environments. Can't wait to integrate this beast into my workflows.

Introducing GLM-5-Turbo: A high-speed variant of GLM-5, excellent in agent-driven environments such as OpenClaw. Coding Plan Max: z.ai/subscribe OpenRouter: openrouter.ai/z-ai/glm-5-tur… API: docs.z.ai/guides/llm/glm…

Everybody is focused on the usual suspects, but GLM-5-Turbo just dropped and might quietly disrupt the inference market. Keep your eyes on this! 👀

@Ubermenscchh Appreciate the honest take here. Sometimes the simplest improvements save the most time.

Most AI research falls apart before you even get to the useful part. Usually the weak spot is jumping between too many tools just to organize what you found. I tried using Perplexity Computer to handle a full research workflow in one place. Gave it one prompt, it pulled the sources, structured everything, and handed me a clean output I could actually work with. No tab switching. No copy pasting. No reformatting. That part alone saved me an entire morning. Genuinely annoyed I didn't try this sooner.

I rebuilt my viral TikTok AI agent with Claude Code in 37 minutes 🤯 A full research-to-brief pipeline that scrapes TikTok, analyzes videos with AI, and generates creative briefs for your clients. All inside Claude Code + Replit. Perfect for creative agencies and DTC brands who want to turn competitor research into briefs without the manual grind. Look, all e-commerce brands & agencies should have at least one person on their team who is their "AI expert" & can vibe-code apps & workflows like this. Here's what the Claude Code version of my TikTok Agent does: → Search TikTok by keyword, date range, and video count → Pull engagement metrics, captions, and thumbnails → Gemini actually watches the video and analyzes the hook → AI scrapes comments for common questions and insights → Generate a full creative brief based on your template + brand bible No watching videos manually. No copying notes into docs. No rewriting briefs from scratch. What you control: - Multiple client projects with separate brand bibles - Your own creative brief template - Which videos to analyze and brief - Full customization through Replit's AI agent Research → Analysis → Brief. One workflow, running a custom, mini-SaaS inside your company I recorded a full walkthrough showing exactly how I built this from scratch. Want the full tutorial? > Like this post > Comment "CLAUDE" And I'll send it over (must be following so I can DM)