D-Coder

ChatGPT gives you an answer. myclaw.ai gives you the finished thing. Give an agent a goal → a sourced report, a triaged inbox, a competitor alert lands in your channel. Done, not drafted. Here’s how it works: 👇

@Rixhabh__ Curious how natural cara-4 feels during longer calls, especially when the mood changes

Every AI avatar looks convincing… Until you actually start talking to it. CARA-4 was the first one that made me stop thinking about the avatar and just continue the conversation.

@nrqa__ That's a great list! Thanks for sharing these resources, I'm always looking for new summaries.

6 FREE book summary websites: 1. blas.comfourminutebooks .com 2. jamesclear .com/book-summaries 3. nateliason .com/notes 4. sive .rs/book 5. readingraphics .com 6. https://bestbookbits .com/ add more👇

As someone who follows how creators use new tools, I found the creator angle behind @PixVerse_ more interesting than the usual AI video demo. PixVerse Live Party brings together Reina, an AI fan host, football cheering, live style interaction, and shareable AI generated moments. It is still early, but I can imagine creators using setups like this to build around a character, a theme, and a moment their audience can join. I saw that creator angle more clearly in the demo: aisecret.co/PixVerseLive aisecret.co/PixVerseLive I do not see it as a finished platform. I see it as an early test of whether AI video can give creators more ways to invite people into the content itself.

Most AI gives you drafts. myclaw.ai gives you deliverables. You don’t ask it questions. You give it goals. Then you come back to finished work waiting where you already work. That’s the difference 👇

@Div_pradeep We're moving from chatting with AI to managing AI workers.

@csaba_kissi This is a great foundational stack.

Clean SaaS stack for faster shipping: - Frontend/backend hosting — Sevalla - Database — PlanetScale - Authentication — Clerk - Payments — Stripe - Transactional email — Postmark - File storage — Bunny Storage - Error tracking — Sentry - Product analytics — PostHog

@AndrewBolis This is a super helpful breakdown! It’s great to see how NotebookLM can really turn files into a research powerhouse.

Most people upload a file and hope AI “figures it out.” It won’t … unless you build a system around it. NotebookLM uses Gemini’s large context window. It turns scattered files into a connected, cited research brain. Here’s the workflow power users follow: [ 🔖 bookmark this post for later ] ✨ Gemini Flash • Core engine powering NotebookLM. • Fast, accurate synthesis across large sets of sources. Sample prompt: “Highlight the main key insights across these docs.” ✨ Gemini Pro (Plus Tier) • Used for deeper reasoning and context handling. • Best for complex briefs and enterprise workflows. Sample prompt: “Draft a polished briefing using these internal docs, with cited evidence.” 1️⃣ Add Sources • Import PDFs, Docs, transcripts, and webpages. • Structure, tables, and images stay intact. 2️⃣ Source-Based Chat • Respond only using your uploaded content. • Ideal for reviews, validation, and checks. 3️⃣ Structured Study Guides • Generates summaries, timelines, and briefs. • Helpful for organizing large material sets. 4️⃣ Visual Topic Mapping • Creates visuals to show relationships between topics. • Useful for comparing topics or themes. 5️⃣ Audio Overview • Converts notebooks into spoken recaps. • Great for reviewing long content on the go. 6️⃣ Video Summaries • Creates short narrated videos with slides. • Perfect for updates or training. 7️⃣ Deep Research • Find credible references for your topic. • Expands research with relevant material. 8️⃣ Structured Data Tables • Extracts key data points into organized, sortable rows. • Turns messy, unstructured info into clean, exportable data. 9️⃣ Collaborative Notebooks • Share notebooks with teams or clients. • Structure and citations stay intact. Copy-Paste These Power Prompts: ► Summarize Content “Create a 500-word thematic summary with citations.” ► Compare Sources “Show key points across these documents and note conflicts.” ► Identify Decisions “List main decisions and attach each one to its source.” ► Generate a Brief “Assemble a brief that organizes the material into: Background → Core Points → Recommendations.” ► Create Script for Audio/Video “Write a two-host script and test weak claims.” Workflows You Can Build: Research Review: ➟ Add papers into a notebook ➟ Produce a briefing from all sources ➟ Use chat for targeted questions ➟ Create audio for on-the-go review Shared Knowledge Base: ➟ Add all project documents ➟ Build an onboarding study guide ➟ Share the notebook with your team ➟ Auto-update when new files are added Content Analysis & Creation: ➟ Add competitor material ➟ Generate a comparison summary ➟ Build a mind map of themes ➟ Export slides for presentations Build the system once and turn raw files into insights fast. Save this guide and test it on your next deep-work task. 📌 Learn 30 free AI tools in 30 days: bit.ly/48woPL4 👉 Follow me @AndrewBolis for more and 🔄 Repost this to help others use AI

That's all for now. If you enjoyed reading this post, please : Like, repost, and follow me @Damn_Coder for more!

MyClaw is live: 👉 myclaw.ai Claude Code and Codex are next. The future isn’t chatting with AI. It’s having AI finish work while you’re doing something else.

The “ask AI” era is ending. The next step is: Assign work. Close the tab. Get results back later. That’s the shift MyClaw is betting on. And honestly, it feels inevitable.

Annual plans come with AI credits built in: 💰 Pro → $100 credits 💰 Max → $150 credits 💰 Ultra → $200 credits If you’re going to use agents every day, your subscription should pay you back.

Never compared two AI agents on real work before? Now you can. Hermes just launched. So if you subscribe to one agent, you get the other’s Max plan free for 30 days. Buy one instance. Get one free. Run them head-to-head on your own workflows. Keep the winner.

Turns out hosting AI agents was never the point. Finishing your work is. That’s what MyClaw is built for. And the list of agents keeps growing: ⚡ OpenClaw 🆕 Hermes 🤖 Claude Code (coming next) 🧠 Codex (coming next) Pick the best agent for the job. We keep it online for you. No install. No Docker. No server management.

ChatGPT gives you an answer. myclaw.ai gives you the finished thing. Give an agent a goal → a sourced report, a triaged inbox, a competitor alert lands in your channel. Done, not drafted. Here’s how it works: 👇

@Rixhabh__ The idea that "LLMs are not continual learners" is a much bigger claim than most people realize.

The next generation of AI won’t be defined by what models already know. It’ll be defined by how well they learn after deployment. That’s the problem Morpheus tackles. Skyfall AI tested frontier models including GPT-5.5 and Gemini 3.1 Pro and found that strong benchmark scores don’t always translate into real continual learning. Morpheus gives researchers a way to evaluate adaptation in realistic, evolving environments instead of static benchmarks. The environments are now open source for the research community.

@csaba_kissi Really appreciate you sharing these!

Open-source and free apps for coders lobehub.com - Open-source AI agent organizer that runs 7×24 operations sevalla.com - Deploy apps without managing infrastructure easymonitor.com - Open-source full-stack uptime monitoring phosphoricons.com - Free SVG icons library 60fps.design - Delightful details from top apps

Try it out here: Morpheus Website: morpheus.skyfall.ai Environment Hub: hub.morpheus.skyfall.ai Paper: Morpheus Blog: skyfall.ai/blog/llms-are-…

We’ve spent years measuring what AI models know. Morpheus measures whether they are actually continual learners. They tested frontier models such as Gemini 3.1 Pro and GPT-5.5 and the findings revealed something that the industry has largely ignored. Skyfall AI’s benchmark is a step toward evaluating continual learning the way it happens in the real world. Morpheus environments are now open-sourced for the research community. Learn more about what they discovered about LLMs in their research blog. Link in comments.