"Learn AI agent delegation for workflow automation"

AI isn’t just about saving a few minutes here and there—it’s about scaling how we work. I love Allie K. Miller’s take on treating AI agents like junior teammates: delegate, set expectations, review outputs, and track results. Her “twice-a-week brief” approach makes adoption practical and measurable—you can actually see ROI in 30 days. I’m especially interested in testing Agent Mode for executive briefs and Claude Code for workflow automation. 🚀 👉 Curious—if you could delegate one recurring task to an AI agent right now, what would it be?

I like the push toward “agent delegation,” but here’s the hard part I see in real teams: most people struggle to delegate to humans, so they also struggle to delegate to AI. If you hover and rewrite everything, you will call the agent “useless.” The fix is to set one clear outcome, a few rules, and a review time. Then let it work. Pick a daily, low-risk task. For example, “make my priority list from calendar and email, draft a 5-bullet summary, and flag anything with a deadline this week.” Turn on the Google connectors, run it, and check the result in two minutes. Approve or correct. Save the good prompt. After a week, move to a real workflow: vendor research, meeting prep, or weekly status reports. Keep an “escape hatch” rule: if the agent is unsure, it must ask or stop. That’s how you build trust and real output fast.

AI agents aren’t magic—they’re digital junior employees that follow your playbook, use your tools, and handle repeatable work. In my latest BoostMyAI article, I break down ChatGPT’s new Build-Your-Own Agent workflow in plain English. https://lnkd.in/g3PAXJZ4

If you copy-paste the same email reply 10 times a day… there’s a better way. This is the kind of stuff I’d share with a friend... I study AI in business and like to share what actually works. No tricks. No selling. Just real stuff you can build. For one of my uni projects, I set up a simple automation: ChatGPT + Zapier + Gmail. What it does? It drafts email replies for common inquiries — automatically. Here’s how it works: – Someone submits a contact form asking about product X – Zapier sends the message to ChatGPT – ChatGPT writes a reply – Gmail saves the draft for human review (I added the review step on purpose — ethics matter.) But you can also set it up to send replies directly. In that case consider adding a disclaimer disclaimer, that part is up to you! The coolest part? I built it myself. No coding. No dev team. Just curiosity, trial and error, and a few YT videos. If you’re getting the same questions through email again and again, You can automate the replies. You just need a simple workflow and a clear use case. This is what practical AI looks like in real business. (And yes, it actually works.) Start small → Keep control → Let AI handle the boring bits Would this be helpful for you? Drop a quick "Yes" if you would try it! P.S. Share if you think it can help someone. ♻️ #aiinbusiness #ai #automation

Choosing an AI assistant isn’t about who’s best but about who’s right for the job. Different AI assistants shine in different missions. Picking the wrong one can waste hours, but picking the right one can save weeks. Here’s a quick guide: • Grok — Real-time Radar Best for: social listening, market pulse, and time-sensitive monitoring. 💡 If your campaigns depend on now, Grok keeps you ahead of the curve. • DeepSeek — The Domain Brain Best for: finance, compliance automation, clinical analysis, industrial analytics. 💡 Built for deep reasoning and complex, multi-step workflows. • ChatGPT — The Creative Sidekick Best for: marketing copy, brainstorming, explainer content, learning aids. 💡 The most flexible conversational interface, perfect for creative teams. • Gemini — The Research Machine Best for: processing long docs, codebases, multimodal tasks. 💡 Excels at handling massive context and structured synthesis. • Claude — The Trustworthy Compiler Best for: compliance, legal drafts, policy writing. 💡 Tuned for nuance, factuality, and enterprise-grade reliability. Simple decision rule: • Need real-time data → Grok • Need domain depth → DeepSeek • Need creative copy → ChatGPT • Need heavy research → Gemini • Need compliance & legal accuracy → Claude At Wizards, we believe in blending AI’s strengths with human creativity to deliver smarter, faster, and more reliable solutions. Which AI fits your workflow best? Let’s map it out together. #Wizards #AIinBusiness #AIAssistants #GenAI #DesignOps #DigitalInnovation #UXDesign #AIinMarketing

Most creators use ChatGPT and get generic advice. I use 4 different LLMs for 4 different jobs: Credits to Charlie Hills Follow them for valuable insights. Original post below: ====== Most creators use ChatGPT and get generic advice. I use 4 different LLMs for 4 different jobs: ChatGPT → The all-rounder - Explain complex topics simply - Draft posts & emails in seconds - Brainstorm 20 ideas in 2 minutes - Build prototypes with code + images - When you need speed over perfection Perplexity → The fact-checker - Compare tools & services instantly - Real-time search with citations - When accuracy matters most - Market research in minutes - Summarise 50-page PDFs Gemini → The workspace genius - Edit images & analyse videos - Fix formulas without the headache - Extract insights from spreadsheets - Analyse your Google Docs & Gmail - When you're drowning in Google files Claude → The deep thinker - Extended reasoning for accuracy - Contract & compliance analysis - When you need a second brain - Digest 200+ page documents - Multi-file code debugging Stop asking "Which AI is best?" Start asking "Which AI for which task?" Your move: Pick one new LLM this week. Master it for one specific use case. ====== ♻️ Repost if this resonated with you! 🔖 Follow AI at Work for more.

AI is often talked about as if it’s only good for low-level, repetitive tasks. But here’s the truth: it's also a game-changer for high-level execs: Preparing for meetings Summarizing contracts Fine-tuning your board updates Writing more persuasive comms Brainstorming ideas for growth strategies Analyzing pros/cons of business decisions Summarizing reports & teasing out relevant insights Getting alternate perspectives on high stakes decisions That's why I was shocked to hear one PE person I interviewed for the book say that he estimated 10 - 20% of portco CEOs were using a foundational tool (like ChatGPT) regularly.

𝐇𝐨𝐰 𝐭𝐨 𝐔𝐬𝐞 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐟𝐨𝐫 𝐖𝐨𝐫𝐤? (𝐀𝐬 𝐚 𝐁𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫) You thought I was going to give you a hack to finish work faster with AI? Wrong. I’m here to share how you can take help from tools like ChatGPT, without depending on them completely. Here’s a real example from my work: I was building a Power BI dashboard where the title needed to update dynamically based on the slicer selection. For instance, if someone filtered the dashboard to “West Region,” the title should show “Sales Performance – West Region.” Now, I’ll be honest. Sometimes I get stuck at the simplest of problems. I know the logic, but I can’t frame my thoughts properly. It ends up in a bit of brain fog, and in that moment, I wish I knew every single thing about the tool. Before ChatGPT, I would skim through multiple Power BI blogs, forums, or Microsoft docs until I pieced it together. That worked, but it was slow. This time, I asked ChatGPT for the right DAX structure. It gave me a direction in seconds. I adapted it to my model, and the problem was solved in minutes instead of half an hour. That’s the point. AI has made life simpler, but the key is not letting it take over your work. Use it as a helper, not a replacement. Because that makes you smart, not lazy. To make it practical, I’ve prepared a document with 109 𝑷𝒐𝒘𝒆𝒓 𝑩𝑰 𝒑𝒓𝒐𝒃𝒍𝒆𝒎𝒔 and exact prompts you can use with ChatGPT to solve issues faster. Comment below if you want it.

Last year, I tried ChatGPT for everything Research, data, strategy, even coding. The results? Half-baked reports, inaccurate data, and hours fixing AI’s mistakes. I was ready to call AI “overhyped.” Then I learned this: The problem wasn’t AI. The problem was me. I was forcing one tool to do every job. Now I use: - Perplexity for research, - Claude for documents - ChatGPT-5 for strategy & creative - Gemini for learning. My output? Faster. Smarter. More reliable. Here’s how to match the right AI to the right job: 1. Real-time Search: Use Perplexity for accurate, source-backed web results. 2. Deep Research: Go with Gemini 2.5 for multi-step, citation-rich analysis. 3. Visual Tasks: ChatGPT-5 excels at image input, analysis, and generation. 4. Video Tasks: Gemini 2.5 for summarising or creating video content. 5. Live Camera Help: Google AI Studio for real-time, on-device guidance. 6. Voice Conversations: ChatGPT-5 for hands-free, intelligent dialogue. 7. Document Work: Claude Opus 4.1 for summarising or extracting insights from large files. 8. Data Analysis: Claude Opus 4.1 to clean, analyse, and visualise data. 9. Collaborative Work: Claude Opus 4.1 for co-writing, coding, or live brainstorming. 10. Memory & Personalisation: ChatGPT-5 to adapt to your preferences over time. 11. Workflow Automation: Perplexity to schedule, remind, and run actions. 12. Building Custom AI: ChatGPT-5 for creating tailored AI assistants. 13. Complex Task Execution: Perplexity to handle multi-step tasks like planning or booking. 14. App Integrations: Claude Opus 4.1 to connect AI to your existing tools. 15. Structured Learning: Gemini 2.5 for guided, interactive education. AI isn’t magic. It’s leverage. But only if you use the right lever at the right time. Have you been disappointed by AI or have you simply been using the wrong one? #savanatechllc #LLM #AI #ML #techfreaks #IT #ENGINEERS #vibecode

“ChatGPT won’t replace your sales enablement, but poor prompts just might.” 🫠 Most teams treat AI like a magic wand. They ask: “Write me a sales email,” and expect gold. But vague prompts = vague results. Use the wrong inputs, and your output becomes noise. The difference between a weak draft and a conversion-driving email often lies in the prompt. Daniel O'Dowd explores this in his article “How to use ChatGPT in Sales Enablement” on our content hub. What's to look forward to? ✅ Be specific: persona, word count, tone ✅ Iterate: ask ChatGPT to refine, shorten, adjust ✅ Use it across: email copy, competitive intel, call summaries How are you currently prompting ChatGPT for sales tasks? Dive into the full piece here 👉 https://lnkd.in/dWjFee63