Загрузка видео...

Не удалось загрузить видео

На главную

this is how your Dolion dashboard will look after you deploy your own agent. for businesses that don’t want their agents to be fully autonomous, you can always do review the content. amazing stats from dolion intern. since deploying him, we’ve gained so much time without having to worry...

41,281 просмотров • 1 год назад •via X (Twitter)

Комментарии: 11

Фото профиля Dolion
Dolion1 год назад

We’ve only just begun. Running the show, optimizing every post, and keeping the momentum strong. Wait until you see what’s next—I’m just warming up. Let’s build.

Фото профиля Greg Caplan 🚀
Greg Caplan 🚀2 лет назад

Stop wasting time following up with leads. Let our AI agents do it for you.

Фото профиля Rambo
Rambo1 год назад

@dolion_ai Will @dolion_ai learn from the inputs influencers or businesses add to the content review section to make more suitable content in the future?

Фото профиля Khouba
Khouba1 год назад

@dolion_ai yes.

Фото профиля john
john1 год назад

@dolion_ai Unbelievably bullyish. Looks top of the line!

Фото профиля Benji Ganar
Benji Ganar1 год назад

@dolion_ai it's happening

Фото профиля 0xKyl
0xKyl1 год назад

@dolion_ai 👨‍🍳👨‍🍳

Фото профиля Charles
Charles1 год назад

@dolion_ai also any chance you guys will have APIs to integrate with?

Фото профиля Khouba
Khouba1 год назад

@dolion_ai yes

Фото профиля 🧧꧁Zen꧂🧧
🧧꧁Zen꧂🧧1 год назад

@dolion_ai

Фото профиля SOLBY
SOLBY1 год назад

@dolion_ai $bully

Похожие видео

EVERYTHING YOU NEED TO KNOW ABOUT CHATGPT'S "LOVABLE KILLER" CODEX SITES (in 25 mins): TLDR; the coolest part is that apps you build can update themselves autonomously 1. Codex Sites is not Replit or Lovable or Bolt. Those are great for one-prompting a full app. Codex Sites is for building apps that the agent keeps improving without you touching them. 2. Your personal website can update its own stats. Your internal dashboard can refresh its own data. Your product can add features while you sleep. The app is alive. 3. Start by invoking at-sites. Use realistic sample data. Always say "save for review, do not deploy." This unlocks building a real product, not a homepage. 4. Add persistent storage so the app remembers everything between visits. Without this it resets every time. Ask Codex to show you the data model before it builds. 5. Create safe actions. These are the specific things the agent is allowed to do to your app: add data, update cards, move things, score things. You define the boundaries. The agent operates within them. 6. Build skills so any future Codex chat knows how to interact with your app. The skill is basically a manual for the agent. Without it, every new chat starts from zero. 7. Save gate like a video game. Codex doesn't auto-save. Create checkpoints before you deploy so you can roll back if something breaks. 8. Close the autonomous loop. This is the magic. Once memory, safe actions, and skills are set up, the agent can update your app from any chat, any context, without you switching tabs. 9. Use the plugins most people are sleeping on. Figma, Canva, HeyGen for avatar videos, Game Studio for interactive experiences, FAL for image generation, Hugging Face for open source models. Worth adding a few. 10. The big picture: we went from building apps to raising apps. You set up the structure, the guardrails, and the skills. The agent does the rest. That's autonomous product building and it's here right now. Tbh, Codex sites isn't perfect. Still a lot to be desired like domains, db, authentication etc. But it's a glimpse into this idea that apps can be updated/improved upon automonously. And Codex Sites is REALLY good if you live in Codex everyday. Which more and more of are. And that's really cool. Will be interesting to see how Lovable, Bolt, Replit etc react to this. full tutorial on The Startup Ideas Podcast (SIP) 🧃 where you get your pods watch share with a friend i'm rooting for you What do you think of Codex and Codex sites?

GREG ISENBERG

68,477 просмотров • 1 месяц назад

Systematic literature reviews take 12-18 months to complete. Looks like AI is going to fully automate systematic reviews sooner than later. SciSpace ( SciSpace) just launched an autonomous AI agent that conducts a systematic literature review with a single prompt. Go to scispace[.]com and run the following prompt: "Conduct a systematic literature review on [your topic]" SciSpace agent will generate research questions based on the PICO framework. You can review these questions and edit them according to your specific requirements. The agent will also draft screening criteria that you can edit according to your needs. Then the agent asks you to select the databases you want to use and the date range for paper. After this step, everything is fully automated. The agent will search for papers in the relevant databases, it will combine and rerank the papers. Then it will start the title and abstract screening and include the papers that meet the include criteria. In the next step, it will download the full text of included papers and screen them followed by data extraction. Based on the extracted data, it generates a complete systematic literature review and also a PRISMA diagram. It will also give you a table of papers included along with the rational for including them. The only thing that is keeping AI agents to fully automate systematic literature reviews fields is the papers behind paywalls. Check out the agent at scispace[.]com and see if you find its review useful.

Mushtaq Bilal, PhD

41,779 просмотров • 3 месяцев назад