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LLM Knowledge Base → Slides When Andrej Karpathy shared his LLM Knowledge Base setup, many were wondering how to generate more visual forms of the wiki. There are many options, but I think Gamma is one of the best at producing high-quality, rich presentations. To showcase this, I just...

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elvis

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46,687 görüntüleme • 1 ay önce •via X (Twitter)

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I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.
0:16

I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.

elvis

66,475 görüntüleme • 2 ay önce

Gamma isn’t just a presentation tool anymore — it just received a serious intelligence upgrade. Meet Gamma Agent, your AI teammate for thinking, researching, and creating high-quality content. Here’s what it can do: • Run live web research inside your deck • Auto–fact-check claims with real sources • Convert any URL into structured slides instantly • Rewrite content in any tone • Personalize decks for different audiences • Summarize long documents in seconds I tested it: I uploaded a PDF, and Gamma instantly turned it into a clean, well-structured presentation. No formatting. No manual edits. Pure automation. This isn’t simple generation — it’s active intelligence built for founders, creators, marketers, and anyone who builds content daily. Gamma just changed the game. 👉 Try Gamma: #Gamma #ProductivityTools #AI #AIAgents #gammapartner
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Gamma isn’t just a presentation tool anymore — it just received a serious intelligence upgrade. Meet Gamma Agent, your AI teammate for thinking, researching, and creating high-quality content. Here’s what it can do: • Run live web research inside your deck • Auto–fact-check claims with real sources • Convert any URL into structured slides instantly • Rewrite content in any tone • Personalize decks for different audiences • Summarize long documents in seconds I tested it: I uploaded a PDF, and Gamma instantly turned it into a clean, well-structured presentation. No formatting. No manual edits. Pure automation. This isn’t simple generation — it’s active intelligence built for founders, creators, marketers, and anyone who builds content daily. Gamma just changed the game. 👉 Try Gamma: #Gamma #ProductivityTools #AI #AIAgents #gammapartner

Mohini Shewale

55,879 görüntüleme • 6 ay önce

Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.
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Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.

elvis

461,950 görüntüleme • 2 ay önce

Crafting engaging presentations takes a lot of time. Gamma app converts any paper into a snazzy presentation — in just a few clicks. And you can get started for free. Here's how to use Gamma to craft engaging presentations:
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Crafting engaging presentations takes a lot of time. Gamma app converts any paper into a snazzy presentation — in just a few clicks. And you can get started for free. Here's how to use Gamma to craft engaging presentations:

Mushtaq Bilal, PhD

22,966 görüntüleme • 1 yıl önce

💬 We get asked Can I manage my strategies without clicking through the platform? ❕ Answer from a GT App Top Trader: Yes, and it’s a total game-changer. I’ve started using the GT Protocol MCP server to connect the platform directly to my AI agent. 🔸 Fast Integration Grab the MCP server from the GT Protocol GitHub and follow the repo guide, it’s a quick setup that only takes a couple of minutes. Once it’s ready, you can connect Claude, Cursor, or Claude Code to your account. Just tell your agent to authenticate, and your tokens will be saved automatically. 🔸 Trading via conversation Now, I use natural language for everything. For example, I just ask for a backtest, get the win rate in seconds, and deploy to a demo account with one command. 🔸 Instant monitoring I don't click around anymore. I just ask "What’s running right now?" to get a full breakdown of active bots and profits delivered straight into the chat. No more forms or clicking, just pure AI-driven trading! 👉 Get the MCP Server
0:13

💬 We get asked Can I manage my strategies without clicking through the platform? ❕ Answer from a GT App Top Trader: Yes, and it’s a total game-changer. I’ve started using the GT Protocol MCP server to connect the platform directly to my AI agent. 🔸 Fast Integration Grab the MCP server from the GT Protocol GitHub and follow the repo guide, it’s a quick setup that only takes a couple of minutes. Once it’s ready, you can connect Claude, Cursor, or Claude Code to your account. Just tell your agent to authenticate, and your tokens will be saved automatically. 🔸 Trading via conversation Now, I use natural language for everything. For example, I just ask for a backtest, get the win rate in seconds, and deploy to a demo account with one command. 🔸 Instant monitoring I don't click around anymore. I just ask "What’s running right now?" to get a full breakdown of active bots and profits delivered straight into the chat. No more forms or clicking, just pure AI-driven trading! 👉 Get the MCP Server

GT Protocol

36,479 görüntüleme • 1 ay önce

Advent of Claude Day 31 - Claude Agent SDK I saved the best for last. The same agent loop, tools, and context management that power Claude Code is available as an SDK. Build agents that work like Claude Code in as little as 10 lines of code. This is just the beginning. 🎇🥂
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Advent of Claude Day 31 - Claude Agent SDK I saved the best for last. The same agent loop, tools, and context management that power Claude Code is available as an SDK. Build agents that work like Claude Code in as little as 10 lines of code. This is just the beginning. 🎇🥂

Ado

99,497 görüntüleme • 5 ay önce

I have zero design skills, but created this high-converting landing page in 2 hours. Never thought I'd say this, but I just built a professional landing page that brings me clients daily. ...and I did it in just a few hours using AI. Here's my exact process: 1. I used Gamma to create the design outline in seconds → Go to Gamma. app → Add the content →Confirm template and generate The craziest part? One year ago, I paid a designer $3,000+ for a similar page that took days to complete. 2. Once I had the design framework, I simply: → Added testimonials from Google Drive → Embedded my VSL from Loom → Connected checkout links via Stripe → Applied my custom branding elements 3. Published directly to web with one click That's literally it. That's how I build all the landing pages for my businesses now. The results? Conversion rates I've never seen before. If you're a solopreneur, small business owner, or founder without a design team, Gamma is a must in your tool stack. It's like having a design agency partner right at your fingertips. No wonder they grew from 0 to 50 million users in under two years.
0:15

I have zero design skills, but created this high-converting landing page in 2 hours. Never thought I'd say this, but I just built a professional landing page that brings me clients daily. ...and I did it in just a few hours using AI. Here's my exact process: 1. I used Gamma to create the design outline in seconds → Go to Gamma. app → Add the content →Confirm template and generate The craziest part? One year ago, I paid a designer $3,000+ for a similar page that took days to complete. 2. Once I had the design framework, I simply: → Added testimonials from Google Drive → Embedded my VSL from Loom → Connected checkout links via Stripe → Applied my custom branding elements 3. Published directly to web with one click That's literally it. That's how I build all the landing pages for my businesses now. The results? Conversion rates I've never seen before. If you're a solopreneur, small business owner, or founder without a design team, Gamma is a must in your tool stack. It's like having a design agency partner right at your fingertips. No wonder they grew from 0 to 50 million users in under two years.

Chase Dimond | Email Marketing Nerd 📧

29,380 görüntüleme • 1 yıl önce

Grok-3 DeepSearch + Gamma = super hack: Combining those two is seriously the ultimate hack for productivity. Grok 3 will be your professional, hard-working researcher, while Gamma structures and organizes everything into beautiful slides. step-by-step guide below:
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Grok-3 DeepSearch + Gamma = super hack: Combining those two is seriously the ultimate hack for productivity. Grok 3 will be your professional, hard-working researcher, while Gamma structures and organizes everything into beautiful slides. step-by-step guide below:

The SamurAI

59,131 görüntüleme • 1 yıl önce

Gamma API + Claude + n8n is absolutely WILD This combo is absolutely insane for turning meetings into professional decks automatically. No manual notes. No "I'll send that over later." No remembering who needs what. Just AI tools working together like a professional operations team. Here's how it works: → Meeting ends, n8n trigger fires and pulls Fireflies transcript → Claude analyzes everything and creates professional presentation structure → Gamma API generates designer-quality deck with interactive link + PDF → Slack sends you preview with Approve/Reject buttons → Hit Approve, system emails deck to ALL participants with action items → They get PDF attachment + Gamma link before you even close Zoom Perfect for founders and sales teams who want to look impossibly organized. The power is in the combo: n8n = zero-click automation that runs itself Claude = extracts what matters, structures it professionally Gamma = designer-quality decks that look like you hired a team While others are scrambling to remember action items, your deck is already in their inbox. Close deals faster. Look impossibly organized. Never miss follow-up again. Like, RT + reply with "GAMMA" and I'll DM the complete system (Must be following so I can DM) Skip this and keep manually building slide decks at 11pm.
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Gamma API + Claude + n8n is absolutely WILD This combo is absolutely insane for turning meetings into professional decks automatically. No manual notes. No "I'll send that over later." No remembering who needs what. Just AI tools working together like a professional operations team. Here's how it works: → Meeting ends, n8n trigger fires and pulls Fireflies transcript → Claude analyzes everything and creates professional presentation structure → Gamma API generates designer-quality deck with interactive link + PDF → Slack sends you preview with Approve/Reject buttons → Hit Approve, system emails deck to ALL participants with action items → They get PDF attachment + Gamma link before you even close Zoom Perfect for founders and sales teams who want to look impossibly organized. The power is in the combo: n8n = zero-click automation that runs itself Claude = extracts what matters, structures it professionally Gamma = designer-quality decks that look like you hired a team While others are scrambling to remember action items, your deck is already in their inbox. Close deals faster. Look impossibly organized. Never miss follow-up again. Like, RT + reply with "GAMMA" and I'll DM the complete system (Must be following so I can DM) Skip this and keep manually building slide decks at 11pm.

Samruddhi Mokal

10,760 görüntüleme • 7 ay önce

LLM Artifacts Connected to Andrej Karpathy's LLM Knowledge base idea, I've been building out a fun way to generate dynamic artifacts from these knowledge bases with the goal of discovering and revealing meaningful and deeper insights. LLM KBs are hard to consume for humans, as I think they are more built for agents. So the question is, what form would be useful for humans to take actions and make important decisions? That's what I am trying to figure out with these artifacts. The artifact example shows a pulse on HN discussions around AI-related stories. The insights can go deeper, of course, but this is already super fun and thought-provoking, like some of my favorite podcasts. The format and depth matter a lot. The aggregation skills of agents are outstanding if you tune the prompts and skill carefully. I built this artifact generator in a few minutes through an agent skill, but I feel like there are so many ways that LLM-generated information can be used and consumed. Like generating deeper insights and analysis, and things that are just not feasible for humans today. The generated artifact (including its data and design) serves as reusable templates or can be updated in real-time via auomations, which is something I am also working on. It is truly an insane way to monitor and track information. Better than a newsletter. Better than newspapers. There is something about this that gets me really excited about the future of AI agents for knowledge generation and discovery. Lots of hidden gems everywhere just waiting to be discovered and acted on if the information is presented correctly. This is not perfect. The format, style/prose can be improved, but this is easy to customize via skill. You can personalize it to your liking. I feel like these dynamic artifacts are going to emerge as a strong new medium to stay on the cutting edge of things, both for agents and humans. My target is research, of course. This was just a basic example. Besides animation, I am also targeting other components like voice, videos, images, slides, etc. This space is full of opportunities to explore. Skill for this coming soon.
0:18

LLM Artifacts Connected to Andrej Karpathy's LLM Knowledge base idea, I've been building out a fun way to generate dynamic artifacts from these knowledge bases with the goal of discovering and revealing meaningful and deeper insights. LLM KBs are hard to consume for humans, as I think they are more built for agents. So the question is, what form would be useful for humans to take actions and make important decisions? That's what I am trying to figure out with these artifacts. The artifact example shows a pulse on HN discussions around AI-related stories. The insights can go deeper, of course, but this is already super fun and thought-provoking, like some of my favorite podcasts. The format and depth matter a lot. The aggregation skills of agents are outstanding if you tune the prompts and skill carefully. I built this artifact generator in a few minutes through an agent skill, but I feel like there are so many ways that LLM-generated information can be used and consumed. Like generating deeper insights and analysis, and things that are just not feasible for humans today. The generated artifact (including its data and design) serves as reusable templates or can be updated in real-time via auomations, which is something I am also working on. It is truly an insane way to monitor and track information. Better than a newsletter. Better than newspapers. There is something about this that gets me really excited about the future of AI agents for knowledge generation and discovery. Lots of hidden gems everywhere just waiting to be discovered and acted on if the information is presented correctly. This is not perfect. The format, style/prose can be improved, but this is easy to customize via skill. You can personalize it to your liking. I feel like these dynamic artifacts are going to emerge as a strong new medium to stay on the cutting edge of things, both for agents and humans. My target is research, of course. This was just a basic example. Besides animation, I am also targeting other components like voice, videos, images, slides, etc. This space is full of opportunities to explore. Skill for this coming soon.

elvis

30,869 görüntüleme • 1 ay önce

Just built an insane new agent skill. It can perfectly extract slides from YT videos, then write notes, images, transcripts, and slides into Obsidian vaults. An HTML artifact allows me to navigate and add more notes as I listen. Should I release the skill?
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Just built an insane new agent skill. It can perfectly extract slides from YT videos, then write notes, images, transcripts, and slides into Obsidian vaults. An HTML artifact allows me to navigate and add more notes as I listen. Should I release the skill?

elvis

45,218 görüntüleme • 14 gün önce

Just launched on Product Hunt: Gamma API Think of it as a visual storytelling on autopilot. Use Gamma inside any workflows — plug into Zapier, n8n, or your own SaaS to turn raw text, data, or images into polished decks + reports. APIs are how ideas scale and this is just the beginning.
0:15

Just launched on Product Hunt: Gamma API Think of it as a visual storytelling on autopilot. Use Gamma inside any workflows — plug into Zapier, n8n, or your own SaaS to turn raw text, data, or images into polished decks + reports. APIs are how ideas scale and this is just the beginning.

Grant Lee

63,146 görüntüleme • 8 ay önce

That unusual_whales Periscope setup was clean this morning. All the confirmed market maker positioning was stacked around the 7275 to 7290 range. With positive gamma acting like a magnet, it was just a matter of waiting for price to move into it. Saw the upper gamma build on the updates, grabbed some $SPX, and it played out exactly how you want it to. One of the cleanest setups this week if not the cleanest. You can watch the replay below. Solid +1.72% day for the account and done trading after the first 30 minutes of the day. One of my favorite unusual_whales tools for a reason. If you want access to Periscope and the full Retail Pro suite, you can get 10% off using my link below
0:15

That unusual_whales Periscope setup was clean this morning. All the confirmed market maker positioning was stacked around the 7275 to 7290 range. With positive gamma acting like a magnet, it was just a matter of waiting for price to move into it. Saw the upper gamma build on the updates, grabbed some $SPX, and it played out exactly how you want it to. One of the cleanest setups this week if not the cleanest. You can watch the replay below. Solid +1.72% day for the account and done trading after the first 30 minutes of the day. One of my favorite unusual_whales tools for a reason. If you want access to Periscope and the full Retail Pro suite, you can get 10% off using my link below

Anthony Sandford

76,100 görüntüleme • 1 ay önce

I love the open-source mining movement. Look at this beauty! Just printed this case (thanks to ₿reakTheFiat) for my Gamma. The double fans improved cooling, especially of the temperature regulator, and increased hash power by 15%. Setup and benchmarks in the next tweets.
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I love the open-source mining movement. Look at this beauty! Just printed this case (thanks to ₿reakTheFiat) for my Gamma. The double fans improved cooling, especially of the temperature regulator, and increased hash power by 15%. Setup and benchmarks in the next tweets.

Bart Mol

22,388 görüntüleme • 1 yıl önce

Excited for my shoot today with Aziani/Gamma! Stay tuned to see the final product 🤙
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Excited for my shoot today with Aziani/Gamma! Stay tuned to see the final product 🤙

Kaylee Lang

13,990 görüntüleme • 2 yıl önce

we've shipped an official MCP Server 🚢 I was a bit skeptical of MCP at the start, but as soon as started using it i changed my mind. It's a lot of fun using tools like Cursor/Claude to build with supabase [details in thread]
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we've shipped an official MCP Server 🚢 I was a bit skeptical of MCP at the start, but as soon as started using it i changed my mind. It's a lot of fun using tools like Cursor/Claude to build with supabase [details in thread]

Paul Copplestone - e/postgres

40,208 görüntüleme • 1 yıl önce

Thrilled to announce the Monitor tool which lets Claude create background scripts that wake the agent up when needed. Big token saver and great way to move away from polling in the agent loop Claude can now: * Follow logs for errors * Poll PRs via script * and more!
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Thrilled to announce the Monitor tool which lets Claude create background scripts that wake the agent up when needed. Big token saver and great way to move away from polling in the agent loop Claude can now: * Follow logs for errors * Poll PRs via script * and more!

Noah Zweben

1,184,280 görüntüleme • 2 ay önce

gamma + n8n = personalized proposals at scale most b2b teams still write every proposal manually.. researching companies, personalizing offers, and writing outreach emails one by one this workflow automates all of it here’s how it works: - the flow researches your prospect - pulls their company data + recent activity - sends it to gamma - gamma generates a custom proposal deck with their logo, case studies, and tailored copy - then writes a personalized outreach email linking to the deck this is the quickest way I’ve seen to get 50 done-for-you proposals in under 30 minutes the result: - every proposal feels written 1:1 - response rates go up - your team gets hours back each week perfect for agencies, consultants, and BD teams who want to scale personalization without losing quality want the full Gamma + n8n proposal generator workflow? comment PROPOSAL + like this post (must be following so i can dm you)
0:13

gamma + n8n = personalized proposals at scale most b2b teams still write every proposal manually.. researching companies, personalizing offers, and writing outreach emails one by one this workflow automates all of it here’s how it works: - the flow researches your prospect - pulls their company data + recent activity - sends it to gamma - gamma generates a custom proposal deck with their logo, case studies, and tailored copy - then writes a personalized outreach email linking to the deck this is the quickest way I’ve seen to get 50 done-for-you proposals in under 30 minutes the result: - every proposal feels written 1:1 - response rates go up - your team gets hours back each week perfect for agencies, consultants, and BD teams who want to scale personalization without losing quality want the full Gamma + n8n proposal generator workflow? comment PROPOSAL + like this post (must be following so i can dm you)

J.B.

49,588 görüntüleme • 6 ay önce

Hyped to share this – I recently built an AI chat plugin for Obsidian using Cursor Composer. I've been using it for the last couple weeks and its totally changed how I use Obsidian. I use it to reflect, generate ideas, plan my day, and more. It's also great at being a search-and-synthesis machine for my 2,000+ notes – like having a Perplexity for my brain. If you're an Obsidian power user and want to try out the alpha, reply below and I'll DM you details!
0:18

Hyped to share this – I recently built an AI chat plugin for Obsidian using Cursor Composer. I've been using it for the last couple weeks and its totally changed how I use Obsidian. I use it to reflect, generate ideas, plan my day, and more. It's also great at being a search-and-synthesis machine for my 2,000+ notes – like having a Perplexity for my brain. If you're an Obsidian power user and want to try out the alpha, reply below and I'll DM you details!

Adil

56,715 görüntüleme • 1 yıl önce

HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:
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HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:

elvis

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