『Everyday AI Made Simple - AI For Everyday Tasks』のカバーアート

Everyday AI Made Simple - AI For Everyday Tasks

Everyday AI Made Simple - AI For Everyday Tasks

著者: Everyday AI Made Simple
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Everyday AI Made Simple – AI for Everyday Tasks is your friendly guide to getting useful, not vague, answers from AI. Each episode shows you exactly what to type—with plain-English, copy-ready prompts you can use for real life: budgeting and bill-balancing, meal and grocery planning, decluttering and home routines, travel planning, wellness tracking, email writing, and more. You’ll learn the three essentials of great prompts (be specific, add context, assign a role) plus easy upgrades like formats, guardrails (tone, length, “no jargon”), and iterative follow-ups that turn “hmm” into “heck yes.” No tech-speak, no eye-glaze—just practical steps so you feel confident and in control. If you’re AI-curious, and short on time, this show hands you the exact words to use—so you can save your brain for the good stuff. New episodes keep it short, actionable, and judgment-free. Think: your smartest friend, but with prompts. Blog: https://everydayaimadesimple.ai/blog Free custom GPTs: https://everydayaimadesimple.ai Some research and production steps may use AI tools. All content is reviewed and approved by humans before publishing.2025 Everyday AI Made Simple
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  • AI Engineers Your Christmas Feast: Stress-Free Holiday Cooking, Shopping & Logistics
    2025/12/05

    Planning Christmas Eve dinner and Christmas morning breakfast can feel like running a miniature airport—timelines, temperature conflicts, dietary restrictions, and oven battles all happening at once. In this episode, we break down how modern AI tools can act as your personal holiday logistics engineer, helping you plan, shop, cook, and even repurpose leftovers with calm, coordinated confidence.

    We unpack insights from advanced kitchen-focused AI systems like Smart Chef, Meal Master, Honeydew, Mealime, and ChefGPT, and compare them against conversational AI tools such as Gemini and ChatGPT. You’ll learn how AI can build fully optimized menus, reduce food waste, manage complex diets, generate shopping lists that prevent duplicate purchases, integrate with delivery platforms, and completely reverse-engineer your cooking timeline so everything lands on the table right on time.

    You’ll also hear real examples of how AI handles:
    • Multimodal ingredient recognition (just from a quick fridge photo)
    • Smart substitutions for gluten-free, dairy-free, vegan, and allergy-friendly dishes
    • Budget-targeted grocery planning with cost-cutting suggestions
    • Detailed, conflict-free oven scheduling — including multi-oven strategies
    • Delegating cooking roles to family members (without the chaos)
    • Real-time troubleshooting (“why is my gravy too salty?”)
    • Low-cost ambiance ideas and creative leftover transformations

    By the end, you’ll see how AI isn’t just a digital helper — it can genuinely transform your holiday kitchen into a smooth, sustainable, joy-first experience. And it may leave you wondering: What other traditions could AI help you engineer next year?

    #holidaycooking, #holidayplanning, #christmasdinner, #christmasbrunch, #mealprep, #smartkitchen, #aitools, #aiinreallife, #holidaystressfree, #mealplanning, #leftoverrecipes, #homecookinghacks, #modernkitchen

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    35 分
  • Stop Guessing Which AI Model to Use
    2025/11/15

    Stop Guessing Which AI Model to Use: Your 2025 Strategic Playbook

    If you’re overwhelmed by the constant stream of new AI models — GPT-5, Gemini 2.5 Pro, Claude 4, Llama 4, Perplexity, Grok — you are definitely not alone. Every few months, a new “frontier” model drops, complete with massive benchmark claims and cryptic version numbers. But in the real world, you don’t need hype… you need clarity.

    In this episode, we break down the six leading AI tools of 2025 and give you a strategic map that shows exactly which model to use for your task. Whether you're coding, doing research, writing content, analyzing documents, checking facts, or tracking real-time trends, the right AI makes all the difference.

    You’ll learn the core strengths, pricing differences, hidden limitations, and the specialty use cases each model dominates. This is your no-nonsense guide to choosing the perfect AI assistant — every time.

    What You’ll Learn

    • Why “AI fatigue” is real — and why picking the right model feels like guesswork
    • The 6 most important AI tools right now:
      • ChatGPT (GPT-5) — The generalist powerhouse with deep reasoning modes
      • Google Gemini 2.5 Pro — Massive 1M+ token context and true multimodality
      • Claude 4 (Opus & Sonnet) — Best for long-documents, safety, and large-scale coding tasks
      • Perplexity — The verifiable, citation-driven research engine
      • Grok 4 — Real-time trend tracking with personality and live X/Twitter data
      • Llama 4 — Open-source, private, and customizable for developers

    Key Takeaways

    • The “best” AI isn’t the one with the biggest model — it’s the one that matches your task
    • Free tiers vary widely — from Gemini’s unusually generous access to Grok’s very strict limits
    • Claude and ChatGPT lead in coding and structured business tasks
    • Perplexity is unmatched for fact-checking and research
    • Grok dominates any task requiring real-time sentiment or breaking-news insights
    • Llama is the top choice if you need data privacy or want to run AI locally
    • You should start thinking of AI as a team of specialists, not one assistant

    7 Real-World Tasks & the Right AI for Each

    1. Analyzing a 150-page contractClaude Opus
    2. Building or debugging complex codeClaude Opus or ChatGPT with advanced data analysis
    3. Fact-checking with citationsPerplexity
    4. Interpreting charts, images, or videoGemini (edge) or ChatGPT+
    5. Tracking real-time public sentimentGrok
    6. Building a private internal AI chatbotLlama
    7. Drafting a nuanced executive summaryClaude (top steerability) or ChatGPT

    Memorable Quote From the Episode

    “We’re not just AI users anymore — we’re AI team managers."

    Click here to view the episode transcript.

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    39 分
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