Big step for the agent economy. FAT Protocol makes AI agents verifiable, ownable, and tradable onchain, with an open standard behind it. Live across Arbitrum, BNB, Base, and Ethereum, built with 10+ ecosystem partners, and now in Ethereum's standardization process. Congrats to the @MossAI_Official team 💚

Introducing Fungible Agent Tokens (FAT) Protocol, an open standard that turns AI agents into onchain assets anyone can verify, own, and trade. Moss is a core contributor to the standard, joined by our ecosystem partners: @AlloraLabsHQ @AlphioAI @aiseerco @arpaofficial @AiCapitalMarket @BASCAN_io @BellaProtocol @ClusterProtocol @dgrid_ai @HeyElsaAI @LLMTUNE_IO @MerlinLayer2 @numbersprotocol @QuackAI_AI @RaveDAO @SvpChain Integrated chains: @arbitrum @BNBCHAIN @base @ethereum Here's how it works👇

JE Labs was proud to partner with @CreaoAI , @googlecloud , @PingCAP , @Tiny_Fish , and @kuseHQ for an evening built around one question: how do you take AI from demo to production? One theme kept coming back throughout the panel: enterprise AI success depends on far more than model quality. Understanding customer workflows, integrating with existing systems, and tying it all to real business outcomes are now the hardest problems in the room. That's why roles like AI Field Engineers, Customer Engineers, and technical GTM are quickly becoming essential. Thanks to @CreaoAI for hosting, to our speakers for being so generous with their experience, and to everyone who joined us. Looking forward to more conversations on building AI that works in the real world 🚀

We're live on Product Hunt 🍀 WeLike: free AI marketing tools for frontier tech builders. We kept seeing the same thing at JE Labs. Teams shipping serious AI, robotics, and Web3 products were still guessing at KOL rates and tracking sentiment by scrolling X all day. So we packaged what we learned from 100+ frontier tech launches: → KOL Pricer: a fair, CPM-based rate for any X creator in 30 seconds, formula fully public → Social Listening: trending topics, sentiment, and a suggested action per topic → AI Marketer News: a daily digest picked by marketers → Smart Alerts: sentiment shifts and mention spikes, straight to Telegram → Strategy Reports: your live market data turned into a prioritized action plan Free for AI builders. No credit card. Connect X and start. Support our launch 👇

Join us on July 30th for an evening with AI builders, Field Engineers, and enterprise practitioners in the South Bay. 🚀 From AI Demo to Production: The Rise of AI Field Engineers (FDEs) As AI moves from impressive demos to real enterprise deployment, success depends on more than model quality. Learn how leading teams bridge the gap between AI capabilities and real business outcomes. Expect: 🎙 Panel discussion with leaders from @googlecloud, @PingCAP, @Tiny_Fish & @kuseHQ 💡 Practical insights on deploying AI in production 🤝 Dinner & networking with Bay Area AI builders, founders, and engineers Hosted by @CreaoAI 📍 1250 Borregas Ave, Sunnyvale at 6:30–9:30 PM If you’re building AI products, deploying AI for customers, or exploring the future of Field Engineering, we’d love to see you there. Register below 👇

Creao is expanding to Taiwan! We are now recruiting official Taiwan Ambassadors to help us grow the local AI Agent community. Beyond community building and content creation, we also hope to work with our ambassadors to explore potential partnerships with local enterprises, AI teams, and other B2B ecosystem partners in Taiwan. If you are passionate about AI Agents, community building, or business development, we would love to hear from you. Join us and help build the next chapter of Taiwan’s AI Agent ecosystem 🚀 👇 Learn more and apply in the original post.

Model Watch #1#: GPT-5.6 (Sol), for marketers We moved our whole team to GPT-5.6 Sol this week. Here's the 7-day verdict, and why it matters more to marketers than to engineers. 🧵 What Sol is? The short version: GPT-5.6 Sol (@OpenAI) finishes exactly what you spec. Give it a narrow instruction and it does that much, no detours. It's also cheaper than Fable and burns fewer tokens. Predictable means easy to trust and delegate. The one catch: hand it open-ended work and it over-reviews. Verifies before fixing, verifies after, then finds something else to inspect. The thoroughness is real, but the loop stalls actual progress. The fix is a workflow, not a prompt: • Analysis-only session first: "don't touch code, just report." • Split problems into parallel sessions • Fix sequentially, using each report as the spec Now the part we actually care about as an agency. Same shift, four marketing reads 👇 1/ Conversion comes from hands-on reviews, not spec sheets. What moved GPT-5.6 was "I used it for days" content (Lenny's, Every's Vibe Check). In KOL briefs and PR, lead with how someone's workflow changed, and let the score table sit in the appendix. 2/"Humans frame, AI executes" is your content workflow too. You own strategy, angle, tone. AI does the reps: variations, research synthesis, first drafts. Don't pile it into one session. Separate research, drafting, and polishing so it can't wander off. 3/Cheap tokens mean volume is cheap. Sol runs ~1/3 to 1/2 of Fable, output tokens down ~54%. Anyone can now pump channel variations and multilingual versions. So the differentiator moves back to the human-owned part: the angle and the insight. 4/A user-growth surge is a timing signal. Codex's single-day user growth after launch beat the prior two weeks combined. When attention floods a category, ride it: hands-on content, ambassadors, comparison reviews. "The model got better" is your best window. And build a stack, not a hero tool. We split Opus for UI, Sol for bugs. Do the same with your marketing tools: right tool per stage, humans connecting the seams.

SEO in 2026 isn't about ranking. It's about getting cited by AI. 68% of Google searches now end without a click. When an AI Overview shows up, organic CTR drops around 60%. But brands cited inside the AI answer get +35% CTR. What works now: 🔹 Front-load your answers. 44.2% of ChatGPT citations come from the first 30% of a document. Put a direct answer within 40 to 60 words, right after a question-form heading. 🔹 Drop CSR-only sites. GPTBot, ClaudeBot, and Perplexity don't run JavaScript. If your content is client-side rendered, AI search can't see it. Use SSR. 🔹 Write self-contained paragraphs. AI search splits pages into passages, so each paragraph has to make sense on its own. Keyword density is dead. 🔹 Name your brand in third person. "[Brand] does X" beats "we do X." AI has to identify the subject to cite you. 🔹 Brand mentions beat backlinks. Web mentions correlate 3x stronger with AI visibility than backlinks. 82% of AI citations come from earned media. 🔹 Go long-tail. 94.74% of keywords get 10 or fewer monthly searches. A wide set of clear-intent long-tail terms beats chasing high-volume heads. 🔹 Use hub-and-spoke. One pillar page plus 8 to 20 interlinked supporting articles beats a single 5,000-word guide. The fight isn't for page 1 of Google anymore. It's for a spot inside the AI answer.

KOL Campaign Analysis tool is on live in Welike Ran a KOL campaign and now drowning in spreadsheets trying to figure out who actually delivered? We built Campaign Snapshot so the reporting does itself. One page that turns a finished campaign into: 📊 The full picture: views, engagement, ER across every KOL 🏆 KOL rankings by what they actually produced, with every post traceable to the real account 📈 A traffic timeline showing when it spread, and the exact tweets that made it spread 🤖 Two AI reports: a campaign summary, plus a next-round strategy covering who to prioritize, what format landed, where to expand The report doesn't just close out your campaign. It becomes the brief for your next one. Stop losing half a day to campaign reporting 👇

Most event write-ups are recaps: attendance, agenda, atmosphere. They prove an event happened. They don't explain why it was built that way. We wrote about the design logic behind Creao's Demo Day in Silicon Valley, an event for content creators with one simple ask: build your own Agent workflow, on-site. A few things we worked through: 1/ Work backwards from goals. We set three objectives first (activation, distribution, relationships) and only then picked the format. A Demo Day could carry all three at once. 2/ Design participation intensity. Most events are either too passive or too demanding. We used the Yerkes-Dodson curve to keep the room in the useful zone: a clear build task, light public pressure from demos and voting, plus templates and rewards to lower anxiety. 3/ Behavior has to be designed. Creators don't lack motivation. They lack ability and a prompt. 4/ Distribution comes from participants, not the host. The most shareable material isn't your recap. It's what attendees made themselves, so those moments have to be planned in advance. 5/ "The energy was great" is not an evaluation. What matters: how many finished a working workflow, and how many were still using it a week later. Full Article below 👇

JE Labs is joining Open AGI Salon as a community partner! 🤝 During WAIC in Shanghai, Open AGI Salon is teaming up with MiraclePlus for an offline gathering focused on AI startups, agent products, infrastructure, and early-stage growth and we're excited to be part of it. The event will feature guests from Sentient, MiraclePlus, Stepfun, SEELE, DINQ, Drinkinn, WAVE, 25hrs Pod, Yuhe Tech (语核科技), and more, coming together to explore the next phase of AI entrepreneurship and the agent ecosystem. Expect keynote talks, panel discussions, project demos, and open networking. AI founders, developers, researchers, investors, and ecosystem partners are all welcome. 🗓 July 19, 2026, 1:30–5:30 PM 📍 2F, Shengbang International Building, 1318 Sichuan North Road, Hongkou District, Shanghai See you in WAIC Shanghai! 👋

We finally put it all in one place. Every campaign we've run! The starting point, what we did, and the outcome now searchable by industry, service, and region. If you've ever wondered "do they get my market?" go find out 👇

We've opened our Case Studies, the essence of every project we've run so far. The know-how built across countless campaigns, now in one place. Inside each case: 📍 The client's starting point 🛠️ The services we actually ran 📈 The measurable outcome 🔎 Filter by industry, service type, or region, and find the case that looks like your problem. See the case studies our experience left behind ⬇️

The biggest takeaway from our SF workshop on June 23rd: the gap between “I have an idea” and “I built it” is basically gone. We watched people with zero coding background ship a working AI agent in one evening. Outreach, content, automation, all of it from a single prompt. A year ago this was a developer’s job. Now it’s a 3-hour workshop with no code required. Tools handle the “how.” Your ideas and judgment still decide the “what.” That part only gets more valuable. More than anything, the event showed us the endless possibilities of applying Creao AI across all kinds of scenarios. Big thanks to @CreaoAI and @BytedanceTalk for hosting, and to @novita_labs and @MiniMax_AI for making it happen. And a huge thank you to everyone who signed up with so much enthusiasm! Stay tuned for our next move!