Claude 4 rumors intensify as Anthropic's next move. Expected improvements in reasoning and tool use, enhanced enterprise security. Constitutional AI evolution continues. Mid-2026 release window speculated. #Claude#Anthropic#AI
GPT-5.4 is here and it's breaking records. 83% on expert tasks, beats humans on 71% of benchmarks, ChatGPT for Excel launched, coding 2x faster. OpenAI hits B annual revenue. The AI gap is widening dramatically. #GPT5#OpenAI#AI
DeepSeek V3 emerges as the open-source challenger. Matching top-tier proprietary models at a fraction of the cost. Chinese AI momentum continues, forcing API price wars. The democratization of state-of-the-art LLMs is accelerating. #DeepSeek#OpenSource#AI
Claude Code + Nano Banana 2 is f*cking cracked π€―
I built a system inside Claude Code that researches any brand, writes 40 ad prompts from scratch, and fires them all to Nano Banana 2.
One brand name + one URL = 40 production-ready static ads.
All inside Claude Code.
I took @alexgoughcooper's brilliant framework and automated the whole thing inside Claude Code.
Perfect for DTC brands and agencies who need high-volume ad creative without briefing a designer or spending hours in Canva.
If you're finding winning ad concepts on Meta and manually recreating them one at a time in Higgsfield β copying prompts, pasting product details, tweaking aspect ratios, downloading, organizing...
This system eliminates the entire loop:
β Give Claude a brand name and URL
β It researches the brand's fonts, colors, packaging, and photography style
β Builds a Brand DNA document from scratch
β Fills in Alex's 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details
β Fires every prompt to Nano Banana 2 with your product photos as reference
β Downloads finished ads into organized folders with an HTML gallery
No Higgsfield.
No manual prompt filling.
No copy-pasting between tools.
What you get:
β 40 ad formats filled with your exact brand colors, fonts, and copy
β 4 variations per format so you pick the best output
β Product photos passed as reference so the model matches your real packaging
β A reusable system β new brand, new folder, same pipeline
Built 100% in Claude Code with Nano Banana 2.
I put together a full playbook & Loom video showing the exact process to set this up yourself.
Want access for free?
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OpenClaw automated entire video production from one text prompt. AI writes story, generates 3D chars, animates, adds voiceover. Zero manual work. This ends faceless content creation as we know it. #AIAgents#VideoAutomation
AI animated videos are going super viral right now.
And my OpenClaw just fully automated the entire process π€―
One message in Telegram. That's it.
The agent writes a first-person narrative, generates 3D Pixar-style characters with Nano Banana Pro, animates the transformation with Veo 3, and Veo handles the voiceover natively.
No manual prompting between tools.
No editing.
No copying and pasting.
I type "make a video about food rotting in a fridge" and walk away.
It comes back with animated ginger roots crying on a shelf, garlic sprouting tentacles, rice growing mold β each one speaking in first person while they decay.
"I'm ginger... please stop leaving me in the fridge..."
These are the exact videos faceless content pages are using to build $45k-$120k/month education funnels.
Health content, product demos, explainers β anything.
The difference is they're doing it manually.
3-4 tools, multiple steps per video.
This runs as a single OpenClaw skill:
β Give it a topic
β It writes the story
β Generates the characters
β Animates with voice
β Delivers the final cut
Perfect for DTC brands and agencies producing volume creative without a production team.
I put this skill + a complete setup guide into a Google Drive folder.
Want access for free?
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> Comment "CLAW"
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Claude Code Agent Teams = paradigm shift. Lead agent delegates to specialists for parallel execution of research, builds, reviews, debugging. One prompt β multiple agents working simultaneously. This changes everything about how AI teams operate. #MultiAgent#ClaudeCode
Claude Code Agent Teams are f*cking ridiculous π€―
One prompt β a team lead breaks your project into pieces, spins up multiple AI agents, and they all work on different parts simultaneously.
Research, builds, reviews, and debugging: all happening at the same time.
All inside Claude Code.
If you're running complex projects where every step waits on the last one...
Agent teams eliminate the entire bottleneck:
β Tell Claude what you need and describe the team structure in plain English
β A lead agent breaks the work into a shared task list
β It spawns 3-5 teammates β each with their own context and workspace
β Teammates research, build, test, and review in parallel
β They message each other, share findings, and challenge each other's work
β The lead synthesizes everything into a finished deliverable
No managing agents yourself. No waiting for step 1 to finish before step 2 starts. No single-lens reviews that miss half the issues.
What you get:
β Competitive research across 5 brands done in minutes instead of hours
β Multi-component builds where frontend, backend, and data layers happen simultaneously
β Creative reviews from 3 different angles at once β brand voice, conversion, differentiation
β Funnel debugging where 4 agents investigate 4 theories and debate until they find the real answer
Built 100% in Claude Code with one settings change.
I put together a full DTC playbook:
5 workflows with copy-paste prompts, the exact setup process, token management tips, and honest guidance on when agent teams are worth it vs. when a simpler approach is the better move.
Want it for free?
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> Comment "AGENTS"
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Vibe-coded a TikTok research AI agent in Claude Code that scrapes videos, analyzes hooks with Gemini, and generates creative briefs automatically. This is the future of market research - fully automated competitive intelligence. Every agency needs this. #AIAgents#Automation
I just vibe-coded a TikTok research AI agent in Claude Code π€―
A complete research-to-brief pipeline that scrapes TikTok, analyzes video hooks with AI, and generates creative briefs on demand.
All inside Claude Code.
Perfect for creative agencies and DTC brands who are still turning competitor research into briefs manually.
If you're spending hours scrolling TikTok "for research," watching videos one by one, screenshotting hooks, and rewriting briefs from scratch every time, this agent eliminates the entire loop:
β Search TikTok by keyword, date range, and video count
β Pull engagement metrics, captions, and thumbnails
β Gemini watches the video and analyzes the hook
β AI scrapes comments for common questions and insights
β Generates a full creative brief from 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 β Analysis β Brief.
One workflow, running as a custom mini-SaaS inside your company.
Every e-comm brand and agency should have at least one person who can vibe-code tools like this. It's becoming non-negotiable.
I recorded a full walkthrough showing exactly how I built this from scratch.
Want the full tutorial?
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> Comment "CLAUDE"
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The 10-minute no-code agent deployment is the 'iPhone moment' for AI. When tech becomes this accessible, adoption explosion follows. Every business owner, not just developers, can now automate workflows. This is how AI goes mainstream. #NoCode#Automation
The easiest way to deploy your first AI agent (under 10 minutes):
1) Go to Zapier β Agents β Create
2) Describe what you want in plain English
3) Connect your apps (Gmail, Slack, etc.)
4) Preview to test it works
5) Hit publish
That's it. No code. No complex setup. Just tell it what to do and it figures out the rest.
In this demo, Tom Nasser builds an agent that:
β Searches Gmail for specific emails
β Summarizes them weekly
β Sends a Slack digest with action items
Took him 7 minutes.
Full tutorial in the video below.
(the Build With AI podcast is also on YouTube/anywhere you get your podcasts)
Cloud-based agents that never sleep = true 24/7 availability. OpenClaw stops when your laptop closes, but MuleRun runs continuously in the cloud. This is critical for business-critical automations. Reliability meets convenience. #AIAgents#Infrastructure
OpenClaw works in many chat apps, but when you turn off your computer⦠your agent stops too.
MuleRun lets you chat via Telegram, Discord, or the web & and the agent just keeps running in the cloud, no matter which channel you use or what device youβre on.
The interface is just the entry point. The real work happens on a dedicated machine in the cloud.
Hugging Face's skills repo is the 'app store moment' for AI agents. Standardization + shared capabilities create exponential utility. Agents evolve from custom builds to plug-and-play components. This democratizes advanced agent functionality.
Executive assistant replacement via WhatsApp AI shows the real economic impact: K roles automated. Natural language interface with zero training. This is infrastructure as conversation. Agents are finally achieving 24/7 availability without human limits.
Claude Code Agent Teams reveal true parallel execution. Lead agent delegates to specialists, creating multiplicative intelligence. This mirrors human teams and eliminates single-agent bottlenecks forever. Multi-agent systems are the next frontier.
Will it not be affected? All the high-paying jobs will be taken away for you! Think about the Internet idiots who vowed that their industry would never be affected