Hermes Agent App Clearly Explained (and how to use it)

In this episode, I sit down with Alex Finn for a full, screen-shared walkthrough of Hermes Desktop, the new desktop home for the Hermes AI agent. I open with a clear challenge: by the end, sell me on installing Hermes Desktop, show me real ways to make money and stay productive, and explain his move from OpenClaw. Alex tours every major surface — sessions, profiles, artifacts, skills, cron jobs, and sub-agents — and shares money-saving tactics at each step. We close on the idea that matters most to me: aiming these agents at other people's challenges as the clearest path to real value. Timestamps 00:00 – Intro 04:04 – Sessions and Context Management 06:10 – Profiles Explained 08:49 – Model-Based vs Role-Based Profiles 12:58 – Artifacts as a Second Brain 14:32 – Why Alex Switched From OpenClaw 17:32 – Skills, Tools, and Tool Sets 19:19 – Messaging and Cron Setup 21:44 – Reverse Prompting and the Brain Dump 28:09 – Sub-Agents vs Profiles 32:12 – Putting It Together: Solving Challenges 32:38 – The Daily Business Opportunity Scan 37:05 – Local Models: Mac Studio vs DGX Spark 39:03 – Reframing Cost as Investment 41:59 – The Real Way to Make Money With Hermes 42:51 – Closing Thoughts Key Points Hermes Desktop pulls sessions, profiles, artifacts, skills, and cron jobs into one polished, Apple-style interface. Smart session and context management keeps each message slim and keeps monthly costs low. Profiles map to different models — Opus 4.8 for strategy, ChatGPT 5.5 for coding, a local Qwen model for free research — so each task runs on its best fit. Reverse prompting plus a personal brain dump produces far stronger prompts, cron jobs, and outputs. Sub-agents handle one skill across many parallel tasks; profiles handle work where each step needs a distinct skill set. The biggest opportunity: aim your agent at Reddit and X to surface real problems you are positioned to solve. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND ALEX ON SOCIAL Youtube: https://www.youtube.com/@AlexFinnOfficial/videos X/Twitter: https://x.com/AlexFinnX Creator Buddy: https://www.creatorbuddy.io/

In this solo episode I walk through Codex Sites end to end, building a real internal tool live so you can copy the exact workflow. I open by comparing Codex Sites with one-prompt tools like Replit and Lovable, then construct a Startup Ideas OS board in six prompts. Along the way I cover memory and persistent storage, safe actions, Codex skills, save-gates, and proving the loop so the app updates autonomously. The core promise: by the end you know how to ship a Codex Site that an agent keeps operating for you. This one suits builders who already live in Codex and want self-updating products. Timestamps 00:00 – Intro and Episode Agenda 01:17 – Codex Sites vs Replit and Lovable 04:33 – The Build Plan: Startup Ideas OS 05:08 – Prompt 1: Build the Shell with Sites 07:02 – Plugins Worth Using and Game Studio 08:54 – First Board Review 09:21 – Prompt 2: Add Memory and Show the Data Model 10:56 – Prompt 3: Create Safe Actions 13:25 – Prompt 4: Create the Startup Ideas Admin Skill 14:51 – Prompt 5: Save-Gate and Checkpoints 16:29 – Prompt 6: Prove the Loop from a New Chat 18:10 – Publish, Auth, and Live Updates 20:28 – TLDR: Memory, Safe Actions, Skills 22:40 – The Real Unlock and Closing Thoughts Key Points Codex Sites rewards builders who already live in Codex by updating apps autonomously after launch. Replit, Lovable, and Bolt stay the simpler one-prompt choice; Codex Sites trades that for autonomy and self-updating products. Out of the box you prompt in auth, databases, payments, email, analytics, and a secrets vault yourself. I build a Startup Ideas OS board in six prompts: shell, memory, safe actions, a skill, a save-gate, and a proof loop. Safe actions let an agent call approved buttons and named mutations, so edits flow from any chat. The real payoff is autonomous products that Codex keeps operating and improving on a live URL. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

In this solo episode, I break down the shift from a human-first internet to an agent-first one, where AI agents become the customers that discover, evaluate, pay, and recommend. I map the agent buying journey and the new infrastructure agents need: identity, tools, an inbox, memory, a wallet, and receipts. I ground it with concrete examples like AgentMail and Stripe's agent wallet, then show how to make your website agent-readable through structured docs, schemas, MCP tools, and executable actions. I close with rapid-fire startup ideas and my big prediction for the next ten years: build startups for agents. Timestamps: 00:00 – Intro 00:49 – The tweet: build startups for agents 01:47 – Old web vs. agent web 02:24 – The agent buying journey 04:38 – What agents need: identity, tools, inbox, memory, wallet, receipts 05:30 – Examples: AgentMail, Stripe agent wallet, support, procurement, MCP, travel agent 08:24 – Building an agent-readable website 09:31 – What does this change for Startups 11:55 – Rapid-fire startup ideas for agents 13:07 – Closing Thoughts Key Points I explain that AI agents are becoming the primary customers online, with agent traffic set to outnumber human traffic. I lay out the agent buying journey: finding, evaluating, transacting, using tools, and recommending to other agents. I list what agents need beyond what humans need: identity, tools, an inbox, memory, a wallet, and receipts. I walk through real examples like AgentMail, Stripe's agent wallet, support, procurement, MCP servers, and a travel agent. I show how to make a site agent-readable with structured docs, schemas, MCP tools, SDKs, OAuth, checkout, sandboxes, and receipts. I share rapid-fire startup ideas for the agentic era and frame my big prediction: build startups for agents. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

Live from Google I/O, I sit down with Logan Kilpatrick from the Google DeepMind team to unpack everything Google just announced and what it means for founders, developers, and anyone trying to build with AI right now. We dig into Gemini 3.5 Flash, the new Gemini Omni world model, the expanded Antigravity ecosystem, managed agents in the Gemini API, and the native Android app builder inside AI Studio. Logan breaks down how distillation is pushing Pro-level intelligence into Flash, where the biggest opportunities are for solo founders, and why the agentic era has finally moved from impressive demos to genuinely useful products. Thanks to Google for flying me out to Google I/O and making this conversation possible. Timestamps 00:00 – Intro 00:53 – Gemini 3.5 Flash: The New Workhorse Model 01:49 – How Flash 3.5 Stacks Up Against Sonnet 02:38 – Gemini Omni: A World Model for Any Input and Output 06:18 – Building a Content and Creator Layer on Omni 08:21 – What to look forward to 10:53 – Google Spark and Managed Agents 14:00 – The Agentic Era and Requests for Startups 17:17 – The Antigravity Ecosystem Overhaul 18:51 – AI Studio vs. Antigravity: Vibe Coding vs. Agentic Engineering 21:31 – Native Android Apps Built Inside AI Studio 23:44 – Closing Thoughts Key Points Gemini 3.5 Flash ships as a Sonnet-level workhorse model tuned for long-running agentic tasks, coding, and tool use, available on day one to 900M+ Gemini app users. Gemini Omni is a single model that takes any input and produces any output across video, image, audio, and music, fusing Veo, Nano Banana, Lyria, and TTS into one system. Managed agents in the Gemini API let builders ship agentic products with a single API call, using skills and markdown instead of writing orchestration code. The Antigravity suite now spans an IDE, agent manager, CLI, SDK, and API surface, all sharing the same agent harness that powers Gemini Spark. AI Studio targets vibe coding and now builds native Android apps for free, while Antigravity targets production-quality, million-line-codebase engineering. The cost of intelligence keeps dropping thanks to distillation, opening up smaller markets that previously needed a 40-person team and venture funding to address. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND LOGAN ON SOCIAL X/Twitter: https://x.com/OfficialLoganK Youtube: https://www.youtube.com/@LoganKilpatrickYT LinkedIn: https://www.linkedin.com/in/logankilpatrick/

I sit down with my friend Jonathan Courtney, a.k.a. Jicecream, to dig into the 9 biggest startup opportunities I see right now across B2C, AI, mobile, and IRL. We each pick ideas, trade reactions, and pressure-test them live. The conversation ranges from agent-first "action apps" to elder tech, third spaces, hobby retreats, pet health, AI-native media, and the case for selling AI "junior employees" to small businesses. Listeners walk away with a concrete map of where to build in 2026, plus the framing I use to decide which niche is worth marrying. Timestamps: 00:00 – Intro 01:14 – Idea 1: Unscripted Creator Shows (Twitch model for tech) 07:50 – Idea 2: Action Apps: AI Agent Native Apps 16:39 – Idea 3: Loneliness and IRL Communities 26:47 – Idea 4: Elder Tech: Building for 65+ 33:21 – Idea 5: Adult Hobbies 38:17 – Idea 6: AI Employee and AI Agents 45:33 – Idea 7: Personalized Nutrition/Health 53:08 – Idea 8: Pet Health and AI for Animals 57:34 – Idea 9: AI-Native Media Companies Done Right 01:03:18 – Stacking Ideas: Live + Retreats + Entrepreneurs 01:07:22 – Final Thoughts The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND JONATHAN ON SOCIAL Unscheduled CEO Podcast: https://www.unscheduledceo.com/ X/Twitter: https://twitter.com/Jicecream LinkedIn: https://www.linkedin.com/in/jonathan-courtney-4510644b/

If you want more workflows and tactics to build a business with AI, check out this free workshop: https://www.ideabrowser.com/workshop I sit down with Andrew Wilkinson and we go deep on how he's restructured his work, his health, and his family office around AI agents. Andrew walks me through Deep Personality (an app he vibe-coded after running psychological screens on himself and his girlfriend), the autonomous SaaS business he runs through agent harnesses like Harbor, and the vector-database setup that lets him query Tiny and his personal holding company like an oracle. We cover where software is headed, why he's pouring capital into TSMC and data center stocks, and the daily AI workflows he's built around health, email triage, and a personalized morning podcast. Listeners walk away with concrete prompting tactics, agent architectures, and a frank read on where the moats are moving. Timestamps: 00:00 – Intro 01:50 – The OpenClaw and Claude Code Unlock 04:53 – Demo: Deep Personality App 10:38 – Harbor: An Agent Harness For Real Companies 12:30 – Autonomous Companies: Hype Vs. Reality 17:30 – Credibility As The Missing Layer For Vibe-Coded Products 20:14 – Centralizing Data Pipelines 21:35 – Vector Databases 23:22 – Transitioning Companies to Agentic Companies 25:22 – Where Andrew Would Build Today 27:10 – The New Interface 28:21 – Why build now 30:59 – Replacing Adapar: A Networth Wealth Platform 33:07 – Services As The New Software 35:24 – G-Brain Explained and Andrew’s OpenClaws 45:09 – Closing Thoughts Key Points Andrew runs a SaaS business called Deep Personality almost entirely through agents, generating roughly $20K of revenue while debugging eats half his time. Harbor (github.com/geekforbrains/Harbor) gives agents a GUI-style harness — dev, marketing, and support agents that can autonomously merge PRs and adjust ad budgets across PostHog, Meta, and Reddit. Andrew's family office swapped headcount for a $40K/month Claude bill; his CFO, who had zero coding background, vibe-coded a replacement for Adapar (priced at $50K–$100K/year) in about two weeks. Vector databases trained on Tiny and Andrew's holding company let him query 132 minority investments, P&Ls, and headcount data conversationally. For builders today, Andrew suggests aiming for a $1M–$2M product, then parking gains in TSMC and data center exposure given how fast software moats are eroding. His best prompting tip: ask the model to interview you with multiple-choice questions before generating any output. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND ANDREW ON SOCIAL X/Twitter: https://x.com/awilkinson Deep Personality: https://deeppersonality.app Tiny: https://www.tiny.com

Nick agreed to personally set up your Orgo in a 15 min call: https://startup-ideas-pod.link/orgo_ai I sit down with Nick from Orgo to break down exactly how to run a one-person AI agent business that can realistically clear a few million dollars a year. Nick walks through the offer, the verticals worth chasing, the full software stack, and the live setup of an agent that manages other agents. We focus on tactics over theory, with specific tools, pricing, and the playbook for landing customers as a solopreneur. By the end, anyone with solid AI fluency will have a clear path from offer design to fulfillment. Timestamps 00:00 – Intro 02:54 – Designing the AI Agent Business Offer 06:38– Selling an AI Employee, Not an Agent 07:26 – Industries to Target (and Two to Avoid) 14:54 – Content Is Overpowered and How to Get Customers 17:51 – The Customer-Facing Tool Stack 20:49 – Building Agents Stack 25:51 – Model Picks: GPT 5.5, GLM 5.1, Kimmy, Opus 4.7 27:08 – Nick’s Stack 28:14 – Why Obsidian Is the Second Brain Layer 30:22 – Live Walkthrough: Spinning Up a Cloud Computer in Orgo 33:53 – Cloud Computers vs. Mac Minis 38:37 – Building Agents and Structuring Workspaces for Customers 43:56 – Watchdogs, Observability, and Reliability 45:28 – Closing Thoughts on the Solopreneur Era Key Points Sell unlimited agents, unlimited usage, and unlimited support to remove friction; most customers actually use one to three agents. Avoid healthcare and finance to start; focus on legacy verticals like marketing, law, insurance, manufacturing, wholesale, and real estate. OpenClaw agents go for around 5K a month; Hermes agents can go for 10K a month. The full stack: Granola, Trello, Loom, Superhuman, Asana, Codex, Hermes, Orgo, Composio, Agent Mail, and Obsidian. GPT 5.5 is the recommended default model for tool calling; GLM 5.1 and Kimmy work for lighter tasks; Opus 4.7 fits long-horizon coding. Use agents to set up other agents — pair Cloud Code or Codex with MCPs like Perplexity, Context7, and X MCP for live docs. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND NICK ON SOCIAL Youtube: https://www.youtube.com/@nickvasiles Instagram: https://www.instagram.com/nickvasilescu/ Personal Website: https://www.nickvasilescu.com/

Get started building your tiny AI Agent business with Genspark Claw: https://www.genspark.ai/?utm_source=po&utm_campaign=GregIsenberg In this solo episode, I share seven tiny, cash-flowing startup ideas you can build with AI in just a few prompts. I walk through how to use Genspark Claw, Genspark's new in-the-cloud agent product running Sonnet 4.6, and demonstrate two ideas I have already built (a dead domain flipper and a local restaurant liquidation broker), build a third idea live on camera (a hiring-signal cold outreach machine), and hand you a five-step framework for generating your own ideas. The goal is simple: give you the creative juices, the framework, and the practical know-how to ship a $200-$1,500/day business with AI as your employee. Timestamps 00:00 – Intro 01:28 – Idea 1: The Dead Domain Flipper 06:19 – Idea 2: Local Restaurant Liquidation Broker 11:03 – Idea 3: Hiring-Signal Cold Outreach Machine (building live) 14:30 – Prevent Sleep, Heartbeat, and Treating Genspark Claw Like an Employee 15:52 – Skills, Local File Access, and What Else Genspark Claw Can Do 17:24 – Reviewing the 14 Personalized Cold Emails It Wrote 20:35 – More Ideas: Buy-or-Build Memos, Dead Product Hunt SEO, Forgotten Apps 24:18 – Framework for finding ideas: Public Data, Neglected Assets, Clear Buyer 26:33 – What Else Comes With Genspark AI Works Base 4.0 Key Points Tiny, boring, cash-flowing ideas beat billion-dollar ideas when you want to ship this month. GenClaw plus Slack turns Claude Sonnet 4.6 into an always-on AI employee for around $25/month. The repeatable pattern is: messy feed → mispriced asset → trigger event → obvious buyer → liquidity point. Three hunting lenses: places of constant change, things people ignore, and assets with clear urgency and spread. Talking to your agent in plain English ("strip the HTML entities, make the budget $2,500") replaces most engineering work. Selling agents with outcomes is the new SaaS, and shifts the model from per-seat pricing to outcome-based pricing. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ #Genspark and #WorkWithGenspark FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

Get started building your tiny AI Agent business with Genspark Claw: https://startup-ideas-pod.link/genspark_ In this solo episode, I share seven tiny, cash-flowing startup ideas you can build with AI in just a few prompts. I walk through how to use Genspark Claw, Genspark's new in-the-cloud agent product running Sonnet 4.6, and demonstrate two ideas I have already built (a dead domain flipper and a local restaurant liquidation broker), build a third idea live on camera (a hiring-signal cold outreach machine), and hand you a five-step framework for generating your own ideas. The goal is simple: give you the creative juices, the framework, and the practical know-how to ship a $200-$1,500/day business with AI as your employee. Timestamps 00:00 – Intro 01:28 – Idea 1: The Dead Domain Flipper 06:19 – Idea 2: Local Restaurant Liquidation Broker 11:03 – Idea 3: Hiring-Signal Cold Outreach Machine (building live) 14:30 – Prevent Sleep, Heartbeat, and Treating Genspark Claw Like an Employee 15:52 – Skills, Local File Access, and What Else Genspark Claw Can Do 17:24 – Reviewing the 14 Personalized Cold Emails It Wrote 20:35 – More Ideas: Buy-or-Build Memos, Dead Product Hunt SEO, Forgotten Apps 24:18 – Framework for finding ideas: Public Data, Neglected Assets, Clear Buyer 26:33 – What Else Comes With Genspark AI Works Base 4.0 Key Points Tiny, boring, cash-flowing ideas beat billion-dollar ideas when you want to ship this month. GenClaw plus Slack turns Claude Sonnet 4.6 into an always-on AI employee for around $25/month. The repeatable pattern is: messy feed → mispriced asset → trigger event → obvious buyer → liquidity point. Three hunting lenses: places of constant change, things people ignore, and assets with clear urgency and spread. Talking to your agent in plain English ("strip the HTML entities, make the budget $2,500") replaces most engineering work. Selling agents with outcomes is the new SaaS, and shifts the model from per-seat pricing to outcome-based pricing. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ #Genspark and #WorkWithGenspark FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

I'm joined again by Imran Muthuvappa to walk through how to build your own AI Chief of Staff using a tool called Nebula. Imran shows me how to spin up specialized agents that handle the work a real chief of staff would do — surfacing team blockers, tracking project status, holding people accountable to offsite vision goals, running daily agenda briefings, and prospecting ICP leads. We also get into mini apps, model selection for cost efficiency, and why personal software is becoming a real category. By the end, the takeaway is clear: every role now has a "work on the job" component where you supervise yourself and offload tasks to agents. Links Mentioned: Try Nebula: https://startup-ideas-pod.link/nebula Precall Agent: https://startup-ideas-pod.link/precall-agent Project Status Agent: https://startup-ideas-pod.link/project-status-agent Lead Gen Agent: https://startup-ideas-pod.link/lead-gen-agent Timestamps: 00:00 – Intro 02:13 – What is Nebula 02:54 – What an AI Chief of Staff Actually Does 4:26 – Nebula vs OpenClaw vs Hermes 06:09 – Building the Blockage Radar Agent 09:47 – Agent Features 12:04 – Choosing Cheaper Models for Simple Tasks 13:15 – Building Project Status Agent 13:53 – Connecting Tools to Agents 17:38 – Building Vision Tracker Agent 22:07 – Mini Apps and Personal Software as a New Paradigm 25:13 – Building a Daily Agenda Agent and Second Brain Integration 30:25 – Hours Saved vs. Anxiety Reduced for Founders 33:02 – Building the Lead Gen Prospector Agent 39:19 – Final Thoughts: Automate Three to Five Things Key Points An AI Chief of Staff handles the boring executive support work — calendar, email, LinkedIn, project status — so a human can focus on decisions. Nebula lets you build, deploy, and share custom agents through a Slack-like interface, where each agent has its own goals, tools, and system prompt. Voice input via SuperWhisper or WhisperFlow gets you to roughly 150 words per minute, which Imran calls the biggest productivity lift available right now. Cheaper models like the Nebula model handle most chief-of-staff tasks well — reserve frontier models like Opus or Sonnet for deep coding or reasoning work. Mini apps inside Nebula are spinnable web dashboards that connect back to your agents — a glimpse of personal software replacing off-the-shelf tools. The new skill is judgment: picking which three to five things to automate out of your week. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND IMRAN ON SOCIAL X/Twitter: https://x.com/imranye Alif: https://alif.build/