No-Code Agentist

Jev is the AI model that never writes a word: up to 193x faster and 444x cheaper than LLMs on TypeSafe's own workflow tests What is Jev, how to use it in your workflow, and where it breaks, in my full breakdown: step 1 → meet Jev: LLMs write, Jev decides. state goes in, a typed answer with a real probability comes out in 70-500ms step 2 → learn the only 3 questions it answers: Noul returns the probability of yes, Choice picks one option from your list, Score rates on levels you define step 3 → see why "ask ChatGPT for JSON" breaks: it types answers token by token and makes up its confidence. Jev is trained so an 80% answer is right about 80% of the time step 4 → read the numbers with the fine print: Jev scored 76.0% at $0.0001 per call in 0.4s. Claude Opus 5 scored 78.4% at $0.4856 in 92.1s step 5 → rebuild a support inbox: one ticket, three parallel decisions, a 0.6 confidence floor, and humans only see the tickets the model is unsure about step 6 → let the LLM write only when a reply is needed, then run its draft back through Jev before it sends step 7 → do the math: 100,000 tickets x 392 tokens = about $1.65 a month for triage step 8 → plug it into your stack: n8n HTTP node, Python SDK, Vercel AI Gateway, Cloudflare Workers AI, or a 2-command Claude Code skill step 9 → steal 6 more workflows: RAG filtering, re-ranking (legal top-10 retrieval went from 38% to 62%), chatbot guardrails, citation checks, agent tool picking, DM triage step 10 → know where it breaks: no math, no dates, no writing, it can be steered by injected text, and "refund 0.72 + not refund 0.47 = 1.19" the result: every yes/no, label and 1-to-5 rating in your stack moves off the expensive chatbot, and the LLM only runs when something needs writing Read the full breakdown with copy-paste code below ↓

What would you delegate if work could keep moving while you sleep? I broke down how to build a 24/7 agent team with OpenAI Dots: → Clear roles → Recurring workflows → Human review where it matters The full playbook↓ https://t.co/LUz0njaOwT

What if you could scrape a website without writing a single selector? No XPath. No CSS selectors. No "time.sleep()" hacks. Just tell the AI what you want. That's BrowseGenie. Give it a URL and a prompt like: «“Get all product names, prices, ratings and availability.”» It opens the page, understands the structure, and extracts the data. But here's the really clever part: The AI doesn't rewrite the scraper on every request. BrowseGenie analyzes the page once → generates a custom BeautifulSoup extractor → saves it against the page's structural hash. Next scrape? It reuses the generated code. If the website changes its layout, BrowseGenie detects the structural difference and generates a new extractor automatically. The README reports: → 98%+ HTML size reduction before the AI sees it → ~5 seconds to extract hundreds of items → ~$0.00786 per scrape in its example → ~57× fewer tokens than sending raw HTML to the AI every time And it has a second mode that's even crazier. Browser Agent. Give it a plain-English task and it can open a real Chromium browser, navigate, click, scroll, type and extract data — even on JavaScript-heavy pages and multi-step workflows. You can even plug it into Claude Code or Cursor through MCP. Basically: Describe the data → let the agent figure out the scraping. No selector maintenance every time the website moves a "<div>". REPOO👇

Someone open-sourced a drag-and-drop builder for ai agents that you fully self-host. It's called smythos studio. clone it, `docker compose up`, open localhost:6060, and start wiring agents on a canvas. » Visual builder: connect llms, apis, and data steps by dragging boxes, zero code to start » Drop into custom code the moment no-code hits a wall » Ship each agent as a chatbot, an api, or an integration » Run it local, cloud, or edge, your keys and workflows stay on your infra No per-seat pricing. no hosted-only lock-in. it runs on your own box. Mit licensed. still early at 566 stars.

Hey techies🙂 Want to participate in your next or first hackathon? This is your chance👍 Lagos Agentic AI Build Day - 📆 Saturday October 3rd 2026 (Tomorrow) Link in comments👇 Build Production-Ready AI Agents in One Day Join developers, founders, product managers, designers and AI enthusiasts for a full day of learning and building with BimpeAI. Whether you're an experienced engineer or completely new to AI agents, you'll spend the day designing, building and deploying AI systems that solve real business problems. This is a hands-on builder event. You'll learn by building. What to Expect? Over the course of the day, you'll learn how modern AI agents are built and deployed for businesses across voice, messaging and web channels. Working individually or in teams, you'll build an AI agent that can automate a real business workflow using BimpeAI. Our engineering team and mentors will be available throughout the day to help you move from idea to deployment. Who Should Attend? •Software Engineers •AI & Machine Learning Engineers •Backend and Frontend Developers •Product Managers •Startup Founders •No-code Builders •UX Designers •Students and Early Career Developers No previous experience with BimpeAI is required. What You'll Learn •Designing AI agents for real businesses •Prompt engineering best practices •Building effective knowledge bases •Creating multi-step workflows •Integrating external systems with webhooks •Deploying agents across Voice, WhatsApp and Web Chat •Testing, debugging and improving AI systems •Best practices for production-ready AI agents What You'll Build Choose from a range of real-world business challenges or bring your own idea. Examples include: •AI Receptionist •Voice Customer Support •WhatsApp Sales Assistant •Restaurant Ordering Agent •Hotel Concierge •Appointment Booking Assistant •Customer Onboarding Agent •Lead Qualification Agent •HR & Internal Support Assistant •Debt Collection & Payment Reminder Agent

AI agents are more capable. The bottleneck is coordination. Can every agent see the context? Can work move without a Slack relay race? Can a human approve key moments? Build visible, no-code workflows for agent teams. #AIAgents #NoCode https://t.co/5LJQzGZoJH