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AI for Teams, Made Easy 💡 Manage all your #prompts and AI providers in one place, share them with your team, and integrate AI into your #business.

Germany
Joined February 2023
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Bad AI output is rarely the model's fault. It's almost always the prompt.
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After seeing hundreds of prompts across different teams and use cases, the same five mistakes come up again and again:
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5 mistakes account for most of the generic AI output teams produce. The same five, almost every time.
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No context. No structure. No consistency. Unverified sources. First draft accepted as final.
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Your teams are already using AI. Just not your AI.
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BYOAI is everywhere: → Briefs in ChatGPT → Internal code in Claude → Customer emails in Gemini
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Most content teams assume the EU AI Act doesn't apply to them. It does. The moment you use an AI tool professionally, you're a deployer with legal obligations that sit with you, not the AI vendor. Practical guide for content + docs teams: promptitude.io/post/what-doe… #EUAIAct #
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Bad AI output is usually a prompt problem, not a model problem. The fix: Role, Task, Context, Output Format, Restrictions. Fill in all 5 before you hit run. 5 prompting mistakes to avoid → promptitude.io/post/quick-gu…
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70% of technical writers report productivity gains from AI. Only 2% are confident in the output. The gap isn't the tool. It's the prompt. #TechnicalWriting #AIinContent #PromptEngineering promptitude.io/the-2026-stat…
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1 in 5 orgs have zero AI guidance. 45% allow AI use with no policy. We wrote an ebook about it with @TheContentWrangler.
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Early access is open now. Register at the link — we'll send it the moment it drops, along with an invite to a live Q&A with Dominik and Scott. 👉 promptitude.io/byoai-in-cont… #BYOAI #AIGovernance #TechnicalWriting #ContentStrategy
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IT approved one AI tool. Your team is using seven. This is shadow AI — and it's the default state of most organizations right now. Employees find tools that work, use them, and don't report it because nobody asked.
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The data behind this is harder to ignore than most IT leaders expect. Shadow AI on corporate devices jumped from 15% to 45% of regular AI use in a single year. The tools being used are solving real workflow problems that the approved stack isn't solving fast enough.
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AI outputs sound generic because the model knows nothing about your brand. That part is obvious. What's less obvious is why pasting your style guide into the prompt doesn't fully fix it.
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It helps — for that session, for that person. Then someone else on the team runs the same task without the context, or with an older version of the document, or simply in a hurry and the output drifts.
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Most teams want to use AI properly. Very few know where to actually start.  Download the free Starter Kit here: promptitude.io/ai-prompt-sta…
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Not because they lack motivation, but because nobody handed them a starting point. So everyone figures it out alone, writes prompts differently, gets inconsistent results, and quietly concludes that AI is more work than it's worth. #PromptEngineering #AIProductivity #ContentTeams
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Most teams don't have a prompt problem. They have a storage problem.
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The prompt that took 45 minutes to get right — the one that finally produced a brief worth sending, a response worth publishing, a summary worth using — lives in someone's chat history. Or a Notion page with 60 other prompts, none of them labeled.
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1 in 5 orgs have zero AI guidance. 45% allow AI use with no policy. We wrote an ebook about it with @TheContentWrangler.
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Early access is open now. Register at the link — we'll send it the moment it drops, along with an invite to a live Q&A with Dominik and Scott. 👉 promptitude.io/byoai-in-cont… #BYOAI #AIGovernance #TechnicalWriting #ContentStrategy
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Someone on your team writes a prompt that works. Really works. The output is clean, on-brand, usable with minimal editing. Where does it go?
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For most teams, nowhere permanent. It sits in a chat window, a personal doc, or gets copy-pasted into a Slack message and buried within days. The next person who needs the same thing starts from scratch — and probably gets a worse result.
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Someone on your team wrote a great prompt. Got exactly the output they needed. Saved it in a Word doc, a Notion page, or just their browser history.
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Three months later, no one can find it. Someone else spent an hour rebuilding the same thing from scratch. This is the most common way AI productivity gains disappear inside teams. Not because the tools are bad — because prompts have nowhere to live.
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Your employees are already using AI. The question is whether you know which tools, which data, and which outputs.
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Shadow AI — personal AI accounts used for work without IT approval — jumped from 15% to 45% of regular AI use on corporate devices in a single year. Prohibition doesn't stop it — it just drives it underground. That's what most governance policies miss.
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Your teams are already using AI. Just not your AI.
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BYOAI is everywhere: → Briefs in ChatGPT → Internal code in Claude → Customer emails in Gemini
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5 mistakes account for most of the generic AI output teams produce. The same five, almost every time.
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No context. No structure. No consistency. Unverified sources. First draft accepted as final.
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Most IT leaders tracking the EU AI Act have August 2026 circled.  Every org using AI professionally counts as a "deployer" . Step 1: Inventory your AI tools and confirm your risk tier. promptitude.io/post/what-doe… #EUAIAct #AICompliance
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Bad AI output is rarely the model's fault. It's almost always the prompt.
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After seeing hundreds of prompts across different teams and use cases, the same five mistakes come up again and again:
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Most content teams don't have an AI problem. They have a consistency problem. We wrote an ebook about it with @TheContentWrangler.
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Early access is open now. Register at the link — we'll send it the moment it drops, along with an invite to a live Q&A with Dominik and Scott. 👉 promptitude.io/byoai-in-cont… #BYOAI #AIGovernance #TechnicalWriting #ContentStrategy
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