What outcome do you need... and what work is eating your team’s time? I was reflecting on a pattern I see in the AI conversations I hear at work, amongst peers and generally across the internet.. In a nutshell, a common theme/question is usually: “How do we get AI fluent?” And I get why. It sounds like the new baseline. But the more I ponder, the more I think the better question is: “What outcome do you need... and what work is currently eating your team’s time?” Because often times.. “AI fluency” is hard to measure. Outcomes are not. Things like: - faster turnaround on client work - fewer manual steps in repeat workflows - better first drafts (so senior people are not rewriting everything) - clearer documentation and handover This is the move I am trying to make in my own thinking: Pick one workflow. Name the win in plain language. Track it for 30 days. Food for thought.. If you were doing that this month, what would you choose first... emails, slide decks, meeting notes, reporting or something else?
Boost Team Efficiency with Outcome-Oriented AI Adoption
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My mornings used to start reactive — I'd open my inbox and just respond to whatever hit me first, piecing my day together as I went. This morning I got to enjoy my morning coffee and just took the last sip after having read an email that gave me a full briefing of what my day looks like — meetings, what I need to prepare for, what tasks I need to work on, my project statuses — it even gave me a couple of news articles in the areas I want to stay in the know on. My Gmail has follow-ups and replies generated, waiting in drafts for me to review and hit send. This is just one of the things I love AI for ❤️ What is something that you do with AI that makes your day better?
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As I look at the bottom of this page as I write this, I see "rewrite with AI"? No, no thank you! I think I will just write this myself. THAT is what is needed in the business world today. People dealing with people with honesty and integrity. -A firm handshake...remember those? -Looking someone in the eye. -Seeing first hand the body language and posture of those in the meeting. -Getting instant feedback and answering questions on the spot. -Providing expert guidance, advice, and a winning solution for all present. -Knowing as you exit whether you won or lost. Guess what all the above have in common? You already know...being there, in the moment, face to face. NOT using AI, or e-mail, or text messages, or zoom calls, or _____________________ fill in the blank! As more headlines like "If you're not using AI, you are on the losing team" or "Call me to see how AI generated $1 Gazillion for my business in just 30 days" constantly bombard our inboxes take just a moment, pick up the phone and schedule an in-person meeting. Maybe you should just walk out the front door, get in your car and go prospecting...meet people...have real interactions. Funny, as you do more of this (see previous sentence) the headlines of AI and future promises of wealth without work will slowly start to fade. Because you DO have to choose one or the other (and sure integration of the two can be effective) but "being out there" is what counts! GO DO IT!
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AI is going to break a lot of cold pitches before it makes any of them better. Walked through my inbox this morning. Eight pitches in. Six of them were obviously AI-generated. Same structure, same em-dash rhythm, same "I noticed your incredible work at..." opening, same fake-personalization that wasn't actually personalized. This isn't a hot take about AI being bad. AI is going to be a huge part of how PR works in five years. But right now, what most operators are doing with it is making themselves more invisible, not more visible. Three things that signal "this is a templated AI pitch" to anyone sophisticated: 1. The opener mentions something generic about the company that they could've gotten from the homepage in five seconds. 2. The middle paragraph is full of "synergy," "scale," "innovation," and three adjectives stacked on every noun. 3. The CTA is "would love to hop on a quick call" — phrasing nobody actually uses outside templates. What works instead: specific operating context that proves you actually read what they do, a clear point of view on what's shifting in their category, and a low-friction next step that respects their time. The bar for "this is a real human who did the work" is going to keep rising. Operators who clear it get attention. Everyone else gets filtered. If you're rebuilding outreach for the AI era and want a sanity check, DM "filter" and I'll send you three things that separate signal from noise.
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If you're explaining your whole business to AI from scratch every single time, stop — there's a better way, and it's Step 3. You've done Step 1 and Step 2. Here's the speed bump most owners hit: with every new question, they re-type all of their business details. It's a drag, and it's exactly why people quietly stop using the tool. This is Step 3 of 'AI in Plain English.' Write yourself a short paragraph — just a few sentences about your business. You can even have the tool write it for you: ask it to draft the paragraph you could save so you don't have to type it every time. Save it in a text file and paste it before every new chat. Now it knows your business and it knows you, so every answer comes back focused on you — without the extra work. You've turned a tool into a real assistant that actually knows your business. That's 'AI in Plain English,' start to finish. I'll happily share the whole series — just say the word. #AIinPlainEnglish #OrlandoBusiness #SmallBusinessAI #IdealAI Photo: Mizuno K / Pexels
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The AI phone call has a bad reputation for good reasons. Most of us have met the version that calls at dinner, mangles a name, and keeps cheerfully explaining something after the human has already said no. So I do not think the interesting question is: can AI make phone calls? It can. Often badly. The more useful question is what happens when voice becomes an internal working surface for a team. At Linea Lab, we have been testing versions of this using Retell with an AI company brain behind it. The useful part is not the novelty. It is how much real work still happens through conversation. Some questions do not want a form. They want a back-and-forth: → priorities → risks → what can be said publicly → what stays internal → who still needs to weigh in → what changed since the last version In a normal team, if two people can talk and the third cannot make it, the options are usually bad: postpone, move ahead with partial context, or write a recap that flattens half the useful nuance. A voice agent gives you another option! You can hash it out with whoever is available. The agent can ask follow-ups, keep track of the caveats, and turn the discussion into something the rest of the team can actually absorb later. Not a raw transcript. Not a Slack novella. A usable synthesis of the conversation: what was decided, what is still open, what context mattered, and where a human still needs to call the shot. That feels small until you map it onto the actual rhythm of a business. Client prep. Internal strategy. Scheduling tradeoffs. Sensitive wording. The “I need to talk this through before I know what I think” category of work. A prompt box can be great when you already know the shape of the question. Voice is useful when the question only becomes clear while you are talking.
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A lot of us are struggling to stay within our Claude limits. We’re using AI for bigger work now: agentic workflows, strategy, analysis, writing, planning, and decision support. That means longer conversations, more context, more files, more revisions, and more back-and-forth. What’s funny is I don’t usually hit my limits doing the most advanced work. I hit them when my conversations have no operating system. Claude becomes a giant workspace where everything gets dumped: background, drafts, questions, feedback, half-decisions, new directions, old assumptions. Eventually, the model is carrying too much. A few habits that have actually helped me manage tokens and keep my sanity: 1. Start every serious thread with a working brief: before asking for output, define the role, goal, audience, constraints, source material, and what “great” looks like. 2. Ask for a context checkpoint before the thread gets long: use: “Summarize the decisions, assumptions, open questions, and reusable context from this conversation.” Then start a new chat with that summary so you keep continuity without dragging the whole thread forward. 3. Separate thinking from production: don’t use one thread to brainstorm, decide, draft, revise, and polish. Use one conversation for analysis and another for execution. The better you structure the work, the less you ask AI to compensate for ambiguity. Most of the time, ambiguity is what burns the limit fastest. #AItips #AI #ArtificialIntelligence #Claude #ClaudeCode
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Most execs use AI as an assembly line. More emails. More reports. More noise. I use AI to buy back my time and clear my head. Let AI handle the grunt work, so I can focus on strategy. Here's my actual workflow: Claude for stress-testing ideas. Granola for capturing meeting details. Perplexity and Consensus for research. Gamma for client decks. Descript for multiplying my content. Notion AI, HubSpot, Zapier, Calendly for client delivery. AI does the heavy lifting. I do the thinking. Stop using AI to do more. Start using it to do what matters.
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If you're explaining your whole business to AI from scratch every single time, stop — there's a better way, and it's Step 3. You've done Step 1 and Step 2. Here's the speed bump most owners hit: with every new question, they re-type all of their business details. It's a drag, and it's exactly why people quietly stop using the tool. This is Step 3 of 'AI in Plain English.' Write yourself a short paragraph — just a few sentences about your business. You can even have the tool write it for you: ask it to draft the paragraph you could save so you don't have to type it every time. Save it in a text file and paste it before every new chat. Now it knows your business and it knows you, so every answer comes back focused on you — without the extra work. You've turned a tool into a real assistant that actually knows your business. That's 'AI in Plain English,' start to finish. I'll happily share the whole series — just say the word. #AIinPlainEnglish #OrlandoBusiness #SmallBusinessAI #IdealAI
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You replied to a complaint this week. Spent 10 minutes thinking about the tone. Another 5 drafting it. Another 5 editing it so it didn't sound defensive. That's 20 minutes on one email. And you'll do the same next time. AI could have given you a solid first draft in 45 seconds. Most people just don't know how to ask it properly. Not "write me a reply to a complaint." That gets you something generic you have to rewrite anyway. The right way is to give AI four things: who it is in this situation, what actually happened, exactly what to produce, and what the output needs to look like. First draft lands right. You tidy it in two minutes. I've built 25 prompts this way across 8 areas. Complaints. Quote follow-ups. Meeting notes into minutes. And a lot more. Ready to copy, paste, and fill in the brackets. Comment PROMPTS and I'll DM you the PDF. By the way, if you want to get AI working properly across your whole business: nova-scale.ai/ai-sorted/
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Most hustlers time-block like amateurs and wonder why output sucks. Fix: Use AI to build your blocks. Prompt: "Create a 4-block daily schedule for [your goals] prioritizing deep work first, no meetings before 11am, with exact time slots." Copy. Paste. Execute. Watch hours vanish but output explode. 💥
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Knowing the outcomes of work gives individuals and teams focus!