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Creating PowerPoint presentations with Templafy's free AI Agent just got even better! 🗨️Chat history 🎨Custom brand colors 📊Editable charts Create presentations—fully editable in PowerPoint:

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Templafy

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262,473 Aufrufe • vor 12 Tagen •via X (Twitter)

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Blender just became a prompt box. With Kimi K3 connected through Blender MCP, you can describe a scene like this in plain English and let the model handle the ugly part: terrain, buildings, lighting, materials, camera movement, animation, and the Python scripts holding everything together. The interesting part is not the first render. Kimi can inspect the result, notice that the camera clips through a tree or the city looks suspiciously like plastic, then edit the actual Blender scene and render it again instead of restarting from zero. You still need taste, because “make it cinematic” remains one of humanity’s least useful instructions. But the distance between an empty Blender file and a fully editable 3D world just got embarrassingly small. A few years ago, creating this meant weeks of modeling, scripting, lighting, and animation. Now you can describe the world, watch Kimi build it, and spend your time fixing the final 10% instead of manually constructing the first 90%. Kimi K3 + Blender MCP is basically text-to-3D without trapping the result inside a useless generated video. Every object, material, light, camera, and keyframe stays editable.

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Consulting-level slides, mimicking the McKinsey-style layout. I used kimi slide's adaptive mode to create them (coding version, not image gen version) .All the content was powered by K2's coding capabilities, fully editable. My prompt: Analyze Global EV market opportunities. Requirement: A professional, high-density consulting presentation slide, designed in the style of a top-tier strategy firm (McKinsey/BCG) blended with high-end editorial aesthetics. Core Content & Layout: 1. Rich Data Visualization: The slide is populated with complex, precise charts (stacked bar charts, waterfall charts, or line graphs) and detailed data tables with rows and columns. 2. Structured Frameworks: Includes strategic diagrams or 2x2 matrices constructed with thin, clean lines. 3. High Information Density: The layout is sophisticated and multi-column, mimicking an actual business analysis deck, not just an empty cover page. Visual Style: 1. Aesthetic: Tech-minimalist but information-heavy. Clean, sharp, and authoritative. 2. Typography: Serif fonts (like Times New Roman) for the main headlines to give a premium financial report feel; clean Sans-serif for chart labels and data numbers. 3. Color Palette: Clean white background. Text is sharp black. Charts and graphical accents use Deep Royal Blue and distinct shades of grey for data hierarchy. 4. Graphics: Use fine hairline borders for tables and precise vector lines for graphs.

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ByteDance just open sourced an AI SuperAgent that can research, code, build websites, create slide decks, and generate videos. All by itself. DeerFlow 2.0 (27K+ GitHub stars ⭐️), an AI system acting like an autonomous employee with its own computer workspace to research and code. Standard chatbots only generate text and forget your preferences. DeerFlow solves this by giving the AI an isolated virtual computer environment where it safely runs programs. When given a massive task, the main program creates several smaller AI assistants to work simultaneously. It also saves your past workflows so it gets smarter about your needs. DeerFlow is model-agnostic — it works with any LLM that implements the OpenAI-compatible API. Fully supports running local models on your own computer using tools like Ollama. An example - you ask for research on the top 10 AI startups in 2026 for a presentation, the lead agent in DeerFlow breaks that big job into smaller sub-tasks. It assigns one sub-agent to look into each company, another to find funding details, and a third to handle competitor analysis. These agents do all their work in parallel. Everything eventually converges, and a final agent pulls the results into a slide deck complete with custom visuals.

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HiveMind is a superintelligent network in which a central AI (MIND) orchestrates a swarm of uniquely coded Minds that drive mass data ingestion and limitless content creation. For decades, our approach has been to create content first, then analyze it into data afterwards to understand what worked. This was always backwards - analyzing the aftermath rather than engineering the success from the start. Traditional Flow: Content → Data Analysis → Insights Content isn't one-size-fits-all - a cooking show that captivates a senior audience on YouTube might bore a teenager who craves quick, dynamic experiences. The challenge isn't just creating content; it's creating the right content for the right audience. We need to change this. This is where HiveMind's specialized agents transform the landscape. Each agent, while connected to the central MIND, excels in its unique domain. One agent masters the art of children's educational content, while another crafts compelling cooking narratives. Another might specialize in rapid-fire social content that resonates with Gen Z. Through HiveMind, every piece of content generated becomes new data that teaches the system to create even better content. The system gets smarter with every cycle, understanding at an increasingly sophisticated level what makes content effective and engaging. But the true power lies in the feedback loop. Every interaction, every engagement, flows back to MIND, enabling each agent to evolve and refine its approach. This isn't just content creation - it's content evolution. As audiences engage, agents learn, adapt, and improve, making each new piece more effective than the last. In essence, we're not just building content creators; we're developing specialized digital artists who understand their audience intimately and grow smarter with every creation. You can think of it this way: Data → Pattern Recognition → Optimized Content → Engagement Data → Even Better Content Tzar

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26,190 Aufrufe • vor 1 Jahr

this might actually be the new ugc method i've seen 100s of ai ugc ads lately where it's the same creator in every single one. same voice, same face, same brand colors, never drifts once what they're actually doing is running notch agents with memory they load the brand context one time. cloned voice, reference photo, brand color codes, do-not-say words, taste or they just teach it inline as they chat, and every correction becomes a saved rule then before it generates a single frame, the agent reads every relevant memory first. hard rules, reference assets, language constraints, taste preferences, all of it and it's workspace-wide, so every new ad already knows the brand before you type a word each chat isn't a re-introduction anymore. it's training your brand isn't a prompt. it's permanent context run 30-50 of those a month at a real offer and the volume does the rest punchier cut: the new method nobody's clocked yet run notch agents with memory on load the brand once. cloned voice, reference photo, color codes, do-not-say words, taste. or teach it inline and every correction saves as a rule it reads every relevant memory before it generates a single frame, workspace-wide each chat isn't a re-introduction. it's training. your brand isn't a prompt, it's permanent context run it at a real rate and the volume prints.
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this might actually be the new ugc method i've seen 100s of ai ugc ads lately where it's the same creator in every single one. same voice, same face, same brand colors, never drifts once what they're actually doing is running notch agents with memory they load the brand context one time. cloned voice, reference photo, brand color codes, do-not-say words, taste or they just teach it inline as they chat, and every correction becomes a saved rule then before it generates a single frame, the agent reads every relevant memory first. hard rules, reference assets, language constraints, taste preferences, all of it and it's workspace-wide, so every new ad already knows the brand before you type a word each chat isn't a re-introduction anymore. it's training your brand isn't a prompt. it's permanent context run 30-50 of those a month at a real offer and the volume does the rest punchier cut: the new method nobody's clocked yet run notch agents with memory on load the brand once. cloned voice, reference photo, color codes, do-not-say words, taste. or teach it inline and every correction saves as a rule it reads every relevant memory before it generates a single frame, workspace-wide each chat isn't a re-introduction. it's training. your brand isn't a prompt, it's permanent context run it at a real rate and the volume prints.

Sulfur

15,290 Aufrufe • vor 2 Monaten

Kimi just wiped out Google Docs, Excel, and PowerPoint in one quiet update. While most people still treat AI like a fancy typing assistant, Kimi Premium shipped something completely different: AI that creates finished professional files directly from conversation. Not exports. Not drafts. Real Excel, Word, PPT, and PDFs built at the structural level. Ask for five years of financials on the Magnificent Seven and it doesn’t summarize. It builds a multi-sheet Excel workbook with balance sheets, income statements, cash flows, clean formatting, and sourced data like a senior analyst prepared it. Someone asked for a DCF on Apple. Kimi produced a full valuation model with assumptions, discount rates, scenario analysis, and citations. Another user fed in one payroll Excel file and got 30 individualized, encrypted PDF payslips out. End-to-end automation. It gets crazier. It can generate images inside spreadsheets for storyboards. One prompt produced a 20-shot video storyboard Excel with timing, visuals, voiceover text, sound cues, and consistent sketch images per frame. This isn’t better chat. It’s execution replaced. Kimi doesn’t give you content to paste into tools. It gives you the tools’ final output. That’s the shift everyone missed. Try it here:
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Kimi just wiped out Google Docs, Excel, and PowerPoint in one quiet update. While most people still treat AI like a fancy typing assistant, Kimi Premium shipped something completely different: AI that creates finished professional files directly from conversation. Not exports. Not drafts. Real Excel, Word, PPT, and PDFs built at the structural level. Ask for five years of financials on the Magnificent Seven and it doesn’t summarize. It builds a multi-sheet Excel workbook with balance sheets, income statements, cash flows, clean formatting, and sourced data like a senior analyst prepared it. Someone asked for a DCF on Apple. Kimi produced a full valuation model with assumptions, discount rates, scenario analysis, and citations. Another user fed in one payroll Excel file and got 30 individualized, encrypted PDF payslips out. End-to-end automation. It gets crazier. It can generate images inside spreadsheets for storyboards. One prompt produced a 20-shot video storyboard Excel with timing, visuals, voiceover text, sound cues, and consistent sketch images per frame. This isn’t better chat. It’s execution replaced. Kimi doesn’t give you content to paste into tools. It gives you the tools’ final output. That’s the shift everyone missed. Try it here:

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Increasingly, HTML Artifacts are becoming a core part of how I work with AI agents. Long-horizon agent sessions need a better way to surface insights about what work it has done. This may not be obvious right now, but as you start to let your agent work on dynamic workflows, large codebases, long-running loops (e.g., using /goal), and deep research tasks, you need a good way to present results. Chat window is not it. You also don't want to just trust everything the agents do. Artifacts help provide an important verification layer, which in turn enables important decision-making. I like HTML artifacts because I can just ask the agent to produce as many of them (and in whatever form) as I need to verify the work and make sense out of everything. I even built a nice tab system for my artifacts. They are great for continual learning and research. I use HTML artifacts for logging, tracking experiments, brainstorming, managing my inbox, code reviews, agent session management, deep research, writing, reading, and so much more. I believe Andrej Karpathy wrote about this somewhere: As we move on to more advanced applications of AI agents and outputs get more complex, we will start to find the need for even more advanced forms of interactions with AI, including interactive neural videos/simulations.
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Increasingly, HTML Artifacts are becoming a core part of how I work with AI agents. Long-horizon agent sessions need a better way to surface insights about what work it has done. This may not be obvious right now, but as you start to let your agent work on dynamic workflows, large codebases, long-running loops (e.g., using /goal), and deep research tasks, you need a good way to present results. Chat window is not it. You also don't want to just trust everything the agents do. Artifacts help provide an important verification layer, which in turn enables important decision-making. I like HTML artifacts because I can just ask the agent to produce as many of them (and in whatever form) as I need to verify the work and make sense out of everything. I even built a nice tab system for my artifacts. They are great for continual learning and research. I use HTML artifacts for logging, tracking experiments, brainstorming, managing my inbox, code reviews, agent session management, deep research, writing, reading, and so much more. I believe Andrej Karpathy wrote about this somewhere: As we move on to more advanced applications of AI agents and outputs get more complex, we will start to find the need for even more advanced forms of interactions with AI, including interactive neural videos/simulations.

elvis

36,881 Aufrufe • vor 2 Monaten

The era of the specialist is over. Full-stack GTM athletes are taking over. For too long, GTM has been divided into specialists, creating a soul-crushing web of dependencies: - Sales needs a custom business case to close a deal, but Marketing is slammed. - Marketing has a winning campaign idea, but design and engineering can’t prioritize it. - CRO has 5 ideas for increasing sales productivity, but no GTM engineers to execute. In GTM, speed is everything and dependencies are the enemy. That's why we're giving GTM teams the full-stack capabilities they need to close revenue. Welcome to the era of the GTM Athlete. These are people who don't ask permission or wait in queues. They can do whatever is needed to take deals from cold to closed—research accounts, launch ads, create a business case, generate tailored follow-ups, and close deals. Sales rep brainstorms with their champion how to convince the CISO. 30 mins later sends them a polished business case with security architecture and ROI. By lunch time, she launches ads to the entire buying committee. The next day, the rep presents a custom deck to key decision makers and gets verbal commitment. No more begging. No more waiting. No more losing. Our vision is to build the AI Swiss Army knife that turns specialists into GTM athletes. Today we are launching a critical capability that enables this vision: an AI agent that can create anything customer facing. You can now create executive business cases, deal follow-ups, landing pages, ABM campaigns and more, all by yourself. Unlike other AI tools, our agent plugs into your brand and data to create materials that actually look and sound like you. Sign up on our website. We're letting people off the waitlist every day, with 30 days of unlimited AI usage. I’d love to hear your feedback.
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The era of the specialist is over. Full-stack GTM athletes are taking over. For too long, GTM has been divided into specialists, creating a soul-crushing web of dependencies: - Sales needs a custom business case to close a deal, but Marketing is slammed. - Marketing has a winning campaign idea, but design and engineering can’t prioritize it. - CRO has 5 ideas for increasing sales productivity, but no GTM engineers to execute. In GTM, speed is everything and dependencies are the enemy. That's why we're giving GTM teams the full-stack capabilities they need to close revenue. Welcome to the era of the GTM Athlete. These are people who don't ask permission or wait in queues. They can do whatever is needed to take deals from cold to closed—research accounts, launch ads, create a business case, generate tailored follow-ups, and close deals. Sales rep brainstorms with their champion how to convince the CISO. 30 mins later sends them a polished business case with security architecture and ROI. By lunch time, she launches ads to the entire buying committee. The next day, the rep presents a custom deck to key decision makers and gets verbal commitment. No more begging. No more waiting. No more losing. Our vision is to build the AI Swiss Army knife that turns specialists into GTM athletes. Today we are launching a critical capability that enables this vision: an AI agent that can create anything customer facing. You can now create executive business cases, deal follow-ups, landing pages, ABM campaigns and more, all by yourself. Unlike other AI tools, our agent plugs into your brand and data to create materials that actually look and sound like you. Sign up on our website. We're letting people off the waitlist every day, with 30 days of unlimited AI usage. I’d love to hear your feedback.

Jaleh Rezaei

219,411 Aufrufe • vor 6 Monaten

Building a business is hard as it is - so we’ve created this resource directory you can get for free. It has got all the resources (guides; templates; databases; discounts & free deals) you need as an entrepreneur to build your biz - curated & collected by Y Combinator alums who raised over $100M in venture capital; had exits; and built dozens of companies. It’s especially useful if you’re considering raising; whether angel or full-blown VC; there wouldn’t be a better time of the year. No comments needed - just chat with No Cap👽 via email or telegram: Why sharing this? This is just one of the many perks of No Cap’s free acceleration program called nc/acc - specifically targeting solopreneurs & lean AI-native teams.
0:17

Building a business is hard as it is - so we’ve created this resource directory you can get for free. It has got all the resources (guides; templates; databases; discounts & free deals) you need as an entrepreneur to build your biz - curated & collected by Y Combinator alums who raised over $100M in venture capital; had exits; and built dozens of companies. It’s especially useful if you’re considering raising; whether angel or full-blown VC; there wouldn’t be a better time of the year. No comments needed - just chat with No Cap👽 via email or telegram: Why sharing this? This is just one of the many perks of No Cap’s free acceleration program called nc/acc - specifically targeting solopreneurs & lean AI-native teams.

Alexander Nevedovsky

56,383 Aufrufe • vor 5 Monaten