#Workflows

🐘 Your database workflow, right inside VS Code. In the PostgreSQL Like a Pro: VS Code Edition series, learn how to connect to PostgreSQL, explore unfamiliar schemas, write better SQL, and investigate query performance with the PostgreSQL extension and GitHub Copilot. 🎬 Watch the series: Happy coding! 💙

$10,000 in prizes are up for grabs at the Flip the Switch Hackathon! 💰 Happening November 4–7, this hackathon, hosted by WeMakeDevs × DevTools Academy and powered by @switch_ai_, challenges you to connect AI agents to team chat platforms and build workflows that get real work done. 🏆 $2,000 for the best business workflow 🎨 $2,000 for the best personal or creative workflow 💻 $100 each for the top 20 open-source contributions 🎙️ $500 for the best project built with Wispr Flow Build solo or in a team of up to 4, from anywhere in the world. 🔗 Register now:

THIS IS F*CKING INSANE SpaceXAI just dropped 146 Grok Bot templates worth $29,200 for FREE bots like these basically cost $50–$200 each. and that’s just the official collection. GitHub already has 700+ bots, including complete teams with specialist roles, ready-made handoffs, and separate verifiers 20 GitHub projects you should open first: 01 Agent Org Chart → ready-made team structures for engineering, marketing, support, and sales. pick the organization your job needs instead of inventing every role 02 Grok Factory → one Firstmate routes software, research, and general work to the right specialists, then brings back reports or reviewed pull requests 03 multiBot → creates purpose-built teammates that delegate heavy work to coding CLIs, keeping Grok Bot focused on coordination and returning the result 04 Grok Bot Architecture → a blueprint for a chief of staff, specialist bots, structured handoffs, connected tools, and human approval points on one shared computer 05 Foreman → inspects a hosted bot crew, surfaces stalled work, and records evidence behind completion claims. a separate checker supplies the passing verdict 06 Grok Bot Second Brain → a five-bot setup with Conductor, Capture, Memory, Ops, and Research, sharing a knowledge vault and defined responsibilities 07 grokbot-skills → reusable skills for debugging, brainstorming, writing, and observing tasks, with upstream sources and licenses preserved 08 grokbot-x → an X content workflow that scouts posts, prepares drafts, publishes through Typefully, and uses logged results to evaluate changes to its writing skills 09 Restaurant Scout → a specialist setup for finding food brands and creators, preparing shoppable-content scripts, and organizing the findings into a catalog workflow 10 Grok Bot Shopping → shopping skills for product search, merchant checkout, Shopify discount-code tests, and order workflows, plus an optional Buyer bot 11 PhoneZero → gives Grok Bot a phone workflow for tasks like restaurant bookings. it prepares the call plan, waits for approval, and reports the outcome 12 Unlist → a privacy assistant playbook for people-search opt-outs, with site records, letter generation, submission logs, and follow-up tracking 13 Grok Bot Gateway → lets coding agents and scripts list bots, read conversations, and send tasks through a gateway bot using a webhook routine 14 grokbot-queue → queues and dispatches tasks across multiple Grok Bots, then collects their results using SSH and unofficial desktop automation 15 Thin Grok Bot → a delegation skill that keeps the bot team focused on routing while deeper builds and investigations run through coding CLIs or cloud agents 16 BOTROSTER → a separate self-hosted alternative with persistent named teammates, shared files, a browser, scheduled work, and approval controls 17 Root Agent → a coordinator that determines which specialists a request needs, manages assignments, and hands domain work to leads 18 Grok Bot Profiles → four focused roles: Spec Writer, Bug Reproducer, PR Producer, and PR Verifier. implementation and verification stay in separate conversations 19 Grok Bot Templates → 49 templates with defined jobs, outputs, skills, routines, and boundaries, plus team setups you can adapt to your work 20 HyperGrok Trading Desk → seven bots covering market data, research, strategy, risk, execution, and review. starts in research mode; live trades require your approval give the first team a job with an obvious finish line: one researched brief, one reviewed PR, or one prepared batch of drafts then check how much work you actually accepted and what it cost to produce. a larger roster earns its place when it improves that result the setup can be free. paying several bots to repeat the same investigation still costs you save this before you spend another weekend building a workflow that already exists the article below shows how to keep context smaller, reuse completed work, and contain retries so more of your Grok Bot budget reaches the finished result ↓

the marketing gold rush is here creating high quality animations with claude is really cheap but it’s not easy, nor fast i built an automated workflow skill to make beautiful animations with claude you give it a verse, a quote or a story, and say how it should look it draws every frame, narrates it and scores it → describe the look in your own words: oil paint, watercolour, crayon, ink, storybook → writes every scene as code and paints each frame like hand animation → reads it aloud with a voice that runs on your computer, or use your own → captions timed to every word → music composed for each short, nothing to license → vertical, square or wide → a 40 second short rendered in under a minute on the pro plan you can make 50+ a day, on the 5X you can make 250 i'm giving the whole workflow + skill away for free comment "animator" and i'll send it over

10 resources your AI workflow is missing 👀 1. — 100+ free templates 2. — Motion sections 3. — ASCII designs 4. — 170+ visual techniques 5. — Creatives 6. — Portfolio inspiration 7. — Award-winning websites 8. — CTA inspiration 9. — Design resources 10. — Design community Save this for your next build 🔖

1M+ views in less than a week on a brand new account Claude Opus 5.5 creates these in less than 10min. Check the first comment if you want the entire workflow!

Un dev japonés ha encontrado una forma de convertir Claude Code en una máquina de crear contenido. Y casi nadie está aprovechando esto. Se llama “Find Skills”. Lo conectas a Claude Code mediante un paquete MCP, le dices qué quieres conseguir y él busca entre cientos de skills del ecosistema de Anthropic para montarte el workflow ideal. Mira todo lo que puede hacer con un solo prompt: → Guion del vídeo: Notion + Claude → Selección de B-roll: Veo 3 → Thumbnail: Sora → Caption y programación: Buffer → Seguimiento de métricas: Typefully Todo conectado. Todo automatizado. Su canal de YouTube puede generar contenido de forma continua. Él solo tiene que decir qué resultado quiere. Mientras muchos siguen usando la IA para escribir un texto un poco más rápido, este tío ha convertido todo su proceso de trabajo en un sistema que funciona prácticamente solo. La diferencia no está en cuánto usas la IA, sino en todo lo que eres capaz de delegarle. Guárdalo, porque esto te puede ahorrar muchísimas horas. 🔖

I made this 50-second animated explainer with Claude. Reels like this are pulling up to 1M views (the page on the right has one at 4.9M). Want the full workflow? Comment "reels" or join my Telegram channel (link in bio) and I'll send the whole process when it's ready 👇

THIS IS A PURE F*CKING GOLD beyond SpaceXAI’s 146 official templates for Grok Bot, there are another 624+ ready-made bots you can use completely FREE. and almost nobody knows they exist full teams with specialist roles, bots that hand work to each other, separate verifiers that check the output, and entire multi-bot trading desks. all open source 20 GitHub projects worth opening first: 01 awesome-grokbot → a searchable index of public Grok Bot configurations, organized by job. find an existing setup instead of writing every instruction yourself 02 botteams → pick a company team and copy its installer prompt. it creates named bots, a group chat, and proposes routines for your approval 03 rosterroom → 82 paste-ready team setups covering founders, operations, security, finance, and research. each includes roles, a first assignment, and approval boundaries 04 grok-bot-profiles → Spec Writer, Bug Reproducer, PR Producer, and PR Verifier. the verifier works in a separate conversation so the builder doesn’t approve its own work 05 hypergrok-trading-desk → 7 specialist bots and 17 skills for market research, strategy testing, risk, execution, and review. starts with public data; trades require your approval 06 root-agent-skill-framework → a coordinator that sizes the team your request needs, creates specialists, and delegates daily management to leads 07 awesome-grokbot by mergisi → paste START.md into a setup bot and choose an engineering, sales, marketing, success, operations, or personal team 08 grok-bot-templates → 49 templates, 10 teams, 47 skills, and 8 routines. each setup defines the job, deliverable, boundaries, and first task 09 botskills → paste-ready BOT.md setups with required integrations and a clear boundary: the action each bot must never take without you 10 grok-skills → 195 reusable playbooks for code review, debugging, research, writing, planning, and shipping. add a proven process instead of another vague instruction 11 crew-contract → a working agreement for bot teams: defined missions, named owners, evidence in handoffs, completion checks, and stopping when the budget runs out 12 grokbot-for-gtm → an outbound playbook that connects prospect research, email, LinkedIn, replies, and meeting tracking. bring your accounts and approve the sends 13 gojiberryai-sales-os → 13 sales roles covering buying signals, prospect research, enrichment, copy, follow-ups, qualification, and pipeline analysis through the GojiberryAI MCP 14 grok-research → an equity research team with persistent researchers, scout reports, reviewed views, and a shared research database. research stays separate from live trading 15 grok-bot-token-saver → a chief-and-workers setup that replaces dragging old conversations forward with short role cards and handoffs for the next session 16 grok-bot-cli → create bots and groups, send messages, and inspect threads from scripts. it reuses your signed-in desktop session without manual token copying 17 grok-bot-skill → let a coding agent list, message, and create Grok Bot teammates, connecting development work with the bots already running your workflows 18 awesome-grok-bot by majiayu000 → another searchable catalog of public bot shares, plus team recipes, setup guides, and community tools organized by job 19 akeru-bot → a separate, self-hosted alternative with named teammates, per-bot tools, instructions, and memory. keep profiles and conversation history on infrastructure you control 20 guaca → a separate desktop workspace where agents share conversations, delegate tasks, and use MCP tools. run the workspace locally or on your own server start with one job you already understand. read the setup, connect the tools it needs, and inspect the first result before scheduling it the templates and source code are free. running them still uses your plan, APIs, or hosting then make the team share findings instead of repeating research. keep handoffs short, preserve completed work, and give failed operations a stopping point save this. your next useful bot might already be built the article below breaks down 7 workflow changes to make that setup cheaper and get more finished work from the same budget ↓

THIS IS A PURE F*CKING GOLD. 9 OF THE MOST-STARRED GROK BOT SETUPS ON GITHUB HAVE OVER 20K ★ BETWEEN THEM each one fixes something your bot keeps getting wrong. all 9 are FREE to download 01 / it keeps getting stuck reading websites web-access (9,281★) a web-access playbook that chooses between fetching pages, browser interaction, and other available channels. saves site-specific methods for future runs 02 / it can discuss your project but can’t work in it devspace (5,299★) connects Grok Bot to approved project folders through MCP, with tools for searching files, editing code, and running commands 03 / every task starts with you explaining everything again obsidian-second-brain (4,990★) a dedicated Grok Bot build for working with your notes, plus a shared crew logbook that records completed jobs and lessons 04 / your agents work separately and lose the handoff openmeld (1,400★) a shared workspace for people and agents to coordinate tasks, preserve context, and pick up work another teammate started 05 / it repeats the same browser clicks every run unbrowse (810★) turns authorized browser workflows into reusable API access, giving your bot a direct route when repeating the interface is unnecessary 06 / you keep discovering the same setup mistakes grokbot-field-notes (638★) rules, role descriptions, and playbooks from the Grok Bot team’s 72-hour public build, including 40 failures and the lessons behind them 07 / it builds another assistant that already exists awesome-grokbot (432★) a searchable catalog of public Grok Bot templates with checked share links and creator attribution. find a starting point before writing another setup 08 / your trading bot jumps from an idea straight to an order hypergrok-trading-desk (212★) 7 specialist roles and 17 skills separating research, strategy, risk, and review. execution requires a connected API wallet and approved trade tickets 09 / managing the bots becomes another manual job grok-bot-cli (137★) create and update bots, manage groups, send tasks, inspect conversations, and automate cleanup from scripts connected to your account pick the problem you recognize from your last session. connect the required tools and test one complete job before expanding the setup save this. fix what keeps breaking before adding another bot the article below explains 7 workflow changes that reduce repeated context, duplicate research, and failed retries so your Grok Bot setup costs less to run ↓

THIS IS F*CKING GOLD: 100 CLAUDE SKILLS ON 1 SCREEN 767K+ GITHUB STARS. ALL FREE. SAVE YOUR AI COURSE MONEY a cheat sheet for everything you can teach Claude to do 10 categories covering collections, memory, workflow, marketing, design, data, security, docs, dev and automation the skills worth grabbing first: → everything-claude-code, 219k stars, a giant pack of ready skills → ui-ux-pro-max-skill, 95k, for cleaner design → claude-mem, 84k, gives Claude a memory between chats → superpowers by obra, 42k, a full workflow for coding → obsidian-skills, 36k, connects Claude to your notes → marketingskills, 35k, for marketing work → planning-with-files, 24k, keeps plans in files so Claude does not lose track the useful part: only 14 of the 100 are official from Anthropic: docx, pdf, pptx, xlsx, skill-creator and more the other 86 come from the community start with the official ones for daily work use community packs to explore what else Claude can do the workflow: pick a skill → read its SKILL.md → install it → give Claude a real task → keep it or delete it the 3 i would try first: → skill-creator, so Claude builds new skills for you → claude-mem, so it stops forgetting you → superpowers, if you write code save this, then pick 3 and test them this week

10 resources to level up your AI workflow 👇 — AI-ready UI components. — Agent skills for design and code. — Animated React components. — AI-powered UI design. Best design inspo. — Generate UI with AI. — Motion design references. — Build apps with AI. — Landing page inspiration. Save these for your next project.

these 3 FREE GitHub repos should honestly be BANNED on Wall Street hedge funds spend millions building research terminals, hiring analysts and developing prediction models someone put the building blocks for an entire AI-powered trading desk on GitHub for FREE it’s called REA + Kronos + TradingAgents here’s how it works: REA helps AI agents understand and reconstruct complex software interfaces and workflows Kronos is a financial forecasting model that treats market candles like tokens and generates possible future price movements TradingAgents creates an AI research team where analysts debate trades before a portfolio manager makes the final decision combine all 3 and you can build a Bloomberg-style research terminal with AI-generated market forecasts and a team of virtual trading analysts here’s how to build it yourself for FREE: step 1 → open Claude Code and connect REA using to map out a professional financial terminal with charts, market data, screeners and research panels step 2 → ask Claude to build the complete interface with equities, crypto, FX, commodities, global indices and financial news step 3 → clone and load Kronos-small, the 24.7M parameter financial forecasting model step 4 → feed Kronos the latest 512 OHLCV candles, forecast the next 24 and sample 100 possible future price paths directly onto the terminal charts step 5 → clone and connect its research workflow to the same market data step 6 → let 4 AI analysts examine fundamentals, news, sentiment and technicals, then watch BULL and BEAR agents debate before the risk team and portfolio manager evaluate the trade step 7 → combine the forecast distribution with the agents’ decisions, track BUY/SELL/HOLD signals and backtest the entire system with realistic transaction costs before risking capital the result: one workspace combining a Bloomberg-style terminal, probabilistic market forecasting and an entire AI investment research team 3 open-source repos one AI-powered trading desk i won’t say anything more… bookmark this and thank me later ↓

Build a better Claude Code workflow: • CLAUDE.md: Project context • Settings: Permissions • Rules: Coding standards • Commands: Reusable workflows • Agents: Specialised tasks • Hooks: Automated checks A solid setup makes AI coding more effective. #ClaudeCode

How to replace your entire video editing team with Grokbot computer use and "group chats" Two 8-figure founders DM'd me and said they already implemented it from my last tweet. And because I've received 10+ DMs about this tutorial... I decided to start from zero and build this Grokbot + StefanBrain workflow from the ground up. And showcase the exact copy-paste process you can use too... across ANY Grokbot + SB workflow. Make sure you watch to the end to see these use cases: - Automate end-to-end video editing and generation - Use CapCut or Premiere Pro + Grokbot groupchats + skills for expert editing - Stitch multiple videos together and keep outputs consistent inside SB's video editor - Overlay new audio (e.g., different language audio OR song ad from Suno) inside SB VidGen **Comment/RT and I'll send you the full setup prompt I use in the video.**

A StefanBrain user scaled to $2M/mo using Grokbot to generate videos… All with computer use. And he gets way better results… because Grokbot doesn’t make human prompting mistakes. It uploads all the right reference images, structures the prompt properly. And most importantly, it creates a skill to do it all - completing that feedback loop. I believe this is the way AI is going. You have one simple UI. And it orchestrates all your agents. Grokbot, Hermes, doesn’t matter what you use. What matters most is that the AI model you choose understands your intent to a tee. And from there, it controls your Claude Code, your Codex… Hell, it will probably control your email, your Notion, your ClickUp, your Loom. Not even through MCP, but through your computer. Any task that you can do on a computer that is repetitive (EVEN PROMPTING) will be done by the AI. You are simply going to align yourself and your orchestrator to do that work together. You won’t need to sift through 10s of open chats to find the one where you worked on something. And if understanding intent is the most important part. It also means that prompting = skill [issue] once again. But not with 20,000 characters and hundreds of constraints like AI usually does. Prompt flexibility is what I like to call it. And it’s basically just prompting AI like a human does… Brain dump. Let the AI get all the context (contextmaxx). Have it ask you questions. Don’t try to have it one shot your task in one go. That’s how our team and our users are moving at terminal velocity, using AI in marketing.

GITHUB IS ACTUALLY INSANE RIGHT NOW. You can build an entire AI content factory without hiring a team. Here are 10 open-source repos worth checking out: 1. OpenCreator Give Codex a creator workspace for writing scripts, generating images, creating voiceovers, translating videos, and editing content. 2. Social Media Research Skills Use Claude Code or Codex to research viral posts, analyze competitors, mine comments, and extract hooks from video transcripts. 3. Local Deep Research Turn any topic into a detailed research report using web searches, your documents, and local or cloud AI models. 4. FLUX.2 Generate and edit images for thumbnails, social posts, and marketing campaigns. The Klein 4B models have Apache-licensed weights. 5. Kokoro Turn written scripts into AI voiceovers with a compact, open-weight text-to-speech model. 6. ACE-Step 1.5 Generate music from text prompts, create instrumentals, and regenerate specific audio sections. It can run locally on supported hardware. 7. Short Video Factory Create batches of short videos from prompts and your footage, with AI-generated scripts, voiceovers, editing, and subtitles. 8. AI YouTube Shorts Generator Convert long YouTube videos into vertical Shorts with AI-selected highlights, transcripts, and automatic cropping. 9. Podcastfy Turn source material into AI-generated podcast conversations, customize the dialogue, and produce audio in multiple languages. 10. Social Media Agent Turn a URL into X and LinkedIn posts, review and edit the drafts, then schedule them through an AI agent workflow. Research, writing, visuals, voiceovers, music, video editing, and distribution. You can automate almost every stage of content creation with the right tools. Which part of your workflow would you automate first? Want to build your own AI content factory? 👀 Follow @rakib_hossen_ai for more AI tools, open-source gems, and workflows that help you create smarter and faster. 🚀

THIS IS A PURE F*CKING GOLDMINE Anthropic just shared one of the best tricks for Claude Code. The idea: let Opus 5.5 write the plan as a script, and let a swarm of cheaper agents run it. Bigger jobs and way fewer Opus tokens, because the script holds the plan and Opus only sees the final answer. You just launch Claude Code like this: claude --model opus --effort ultracode here's the split: → Opus 5.5 turns your task into a workflow script → Haiku 5.5 agents scan every file in parallel → Sonnet 5.5 agents patch each fix in its own isolated copy → you stop burning Opus context on a hundred agent transcripts Opus only shows up at three moments: → writing the workflow before the run → reading the verified results after it → signing off before anything ships Opus plans. Haiku scans. Sonnet ships. JEV engineering is the same move one layer down: the forks that need no thinker (which file, which tool, retry or stop) go to JEV in milliseconds, and the big models only see the ones that split the full tree > Opus 5.5 runs the main session and writes the workflow > scan audits every file on Haiku 5.5 > edit patches each fix on Sonnet 5.5 in an isolated copy > verify cross-checks every finding on Sonnet 5.5 > Opus 5.5 reads only what survived verification > JEV routes micro-forks in milliseconds paste the tree and this prompt into Claude Code ↓ "Rebuild my Claude Code setup around this tree: 1. Run the main session on Opus 5.5 with ultracode on. 2. In every workflow, run read-only scan stages on Haiku 5.5 and edit stages on Sonnet 5.5, each edit in its own isolated copy. 3. Add one rule to CLAUDE.md: every finding gets an independent verifier agent before it's reported, and fix loops stop after two rounds with no progress. 4. Route fast deterministic forks (tool choice, path selection, retries) through JEV. Show me every change as a diff first. No edits until I say go." ↳ save it, it'll come in handy.

REA is pure f*cking treasure right now it lets your AI agent reverse engineer any app, down to the binary Opus 5.5 reads how a feature works, then rebuilds its own version from scratch but one wrong number can pass every check in this article :

honestly don't understand why everyone still doesn't use this Elon Musk dropped an idea that blew up with 27 million views: "Forget launching startups. Invest in unexciting online assets and let automated systems handle them" That is precisely how Grok Bot operates right now. The entire setup costs zero dollars beyond your base subscription: -> set up an agent and name it Mogul -> task it with identifying a mundane daily search niche (it scans live complaints on X and Reddit since it's powered by Grok) -> it generates a concise directory platform on its local system and deploys one valuable entry every single night -> it independently handles email outreach under your name to lock in affiliate and referral partnerships -> the content workflow runs completely on autopilot while financial updates are sent directly to your Telegram -> month one brings in steady visits; by month three you net your initial $315 and the momentum keeps building indefinitely Your laptop can stay completely shut while the web footprint expands on its own Every single page functions as a permanent micro-worker. It generates compounding returns just like rental property Some creators manage 3 platforms simultaneously without ever opening them. They keep quiet about it, and now you know why For every month you delay, a competitor's bot uploads another 30 pages into the exact niche you had your eye on Check out the step-by-step breakdown below Save this post right now before someone else claims your target market

𝗪𝗛𝗔𝗧 𝗜𝗦 𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗔𝗜? 𝗧𝗛𝗘 𝗗𝗜𝗙𝗙𝗘𝗥𝗘𝗡𝗖𝗘 𝗜𝗦 𝗔𝗖𝗧𝗜𝗢𝗡 Not every AI system that uses tools is an AI agent. This distinction matters. 𝗧𝗛𝗘𝗦𝗘 𝗔𝗥𝗘 𝗡𝗢𝗧 𝗙𝗨𝗟𝗟 𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗔𝗜: 01 — 𝗟𝗟𝗠 𝗖𝗛𝗔𝗧𝗕𝗢𝗧𝗦 Typical flow: User → System Prompt → LLM → Response The model generates a response based on the provided context and instructions. Useful? Absolutely. Autonomous? Not really. 02 — 𝗥𝗣𝗔 Robotic Process Automation can execute predefined workflows. User → Trigger → Script → Predefined Steps → Response It's excellent for repetitive processes, but the workflow is generally predefined rather than dynamically planned by the system. 03 — 𝗦𝗜𝗠𝗣𝗟𝗘 𝗥𝗔𝗚 RAG improves an LLM by retrieving relevant information. User → Retrieve Data → LLM → Response It helps ground the model with external knowledge. But retrieval alone doesn't mean the system can independently plan and execute a complex workflow. 𝗦𝗢 𝗪𝗛𝗔𝗧 𝗠𝗔𝗞𝗘𝗦 𝗔𝗜 𝗔𝗚𝗘𝗡𝗧𝗜𝗖? An agentic system can combine: → Memory → Planning → Tool use → Orchestration → Feedback loops → Human oversight → Multi-agent coordination Instead of simply answering a question, it can determine what needs to happen next. 𝗔 𝗧𝗬𝗣𝗜𝗖𝗔𝗟 𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗙𝗟𝗢𝗪: User Goal ↓ 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 ↓ 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 ↓ 𝗧𝗼𝗼𝗹 𝗦𝗲𝗹𝗲𝗰𝘁𝗶𝗼𝗻 ↓ 𝗔𝗰𝘁𝗶𝗼𝗻 ↓ 𝗢𝗯𝘀𝗲𝗿𝘃𝗲 𝗥𝗲𝘀𝘂𝗹𝘁 ↓ 𝗥𝗲𝗳𝗶𝗻𝗲 ↓ 𝗥𝗲𝗽𝗲𝗮𝘁 𝗶𝗳 𝗻𝗲𝗲𝗱𝗲𝗱 ↓ 𝗙𝗶𝗻𝗮𝗹 𝗢𝘂𝘁𝗽𝘂𝘁 And in more advanced systems, multiple specialized agents can collaborate. For example: 𝗖𝗼𝗱𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁 → Build, modify, debug 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗔𝗴𝗲𝗻𝘁 → Search, analyze, fetch 𝗖𝗶𝘁𝗮𝘁𝗶𝗼𝗻 𝗔𝗴𝗲𝗻𝘁 → Validate and reference information The orchestrator coordinates everything. 𝗧𝗛𝗘 𝗞𝗘𝗬 𝗗𝗜𝗙𝗙𝗘𝗥𝗘𝗡𝗖𝗘: 𝗖𝗵𝗮𝘁𝗯𝗼𝘁 → 𝗔𝗻𝘀𝘄𝗲𝗿𝘀 𝗥𝗣𝗔 → 𝗙𝗼𝗹𝗹𝗼𝘄𝘀 𝗽𝗿𝗲𝗱𝗲𝗳𝗶𝗻𝗲𝗱 𝘀𝘁𝗲𝗽𝘀 𝗥𝗔𝗚 → 𝗙𝗶𝗻𝗱𝘀 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 → 𝗥𝗲𝗮𝘀𝗼𝗻𝘀, 𝗽𝗹𝗮𝗻𝘀, 𝘂𝘀𝗲𝘀 𝘁𝗼𝗼𝗹𝘀, 𝗮𝗰𝘁𝘀, 𝗮𝗻𝗱 𝗶𝘁𝗲𝗿𝗮𝘁𝗲𝘀 𝘁𝗼𝘄𝗮𝗿𝗱 𝗮 𝗴𝗼𝗮𝗹 𝗧𝗛𝗘 𝗕𝗜𝗚 𝗦𝗛𝗜𝗙𝗧: AI is moving from: “𝗚𝗶𝘃𝗲 𝗺𝗲 𝗮𝗻 𝗮𝗻𝘀𝘄𝗲𝗿.” to: “𝗛𝗲𝗹𝗽 𝗺𝗲 𝗴𝗲𝘁 𝘁𝗵𝗶𝘀 𝗷𝗼𝗯 𝗱𝗼𝗻𝗲.” That’s the real idea behind agentic AI. Save this framework for later. Follow @AamirAnsar94694 for more AI, tools, automation and tech insights. #AI #AgenticAI #AIAgents #GenerativeAI #RAG #ArtificialIntelligence #AIEngineering #Automation

Your CI/CD pipeline doesn't have to just fail and wait for someone to investigate. In this course, Farzeen shows how to build a self-healing DevOps workflow with GitHub, OpenAI, and n8n. You'll analyze failing logs, generate patches, open pull requests, secure secrets, trigger webhooks, and notify your team automatically.