Created from a single voice note with Agent Craft
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Barrie Hadfield's team had a content problem most exec teams won't…
Barrie Hadfield's team had a content problem most exec teams won't admit to. Different people doing different things, most of them ignoring social entirely because it was just too overwhelming to keep up with. No system. No consistency. No real output. Then something shifted. Not a new hire, not a content agency. They started leaving 45-second voice notes inside the tools they already used every day. That's it. That's the whole input. Agent Craft works quietly in the background, turning those raw voice notes into finished content, without anyone touching a prompt or a scheduler. The thinking stays human. The production burden disappears. What they got on the other side was their first real content system. Campaigns that held together. Individual voices that stayed on message. Executives who were actually participating instead of quietly opting out. The math here isn't complicated. An extra team seat costs $49 a month. Unlimited content, unlimited publishing destinations. Compare that to the fully loaded cost of a marketing coordinator and the comparison stops being interesting pretty quickly. Two minutes a day per person is a massive productivity improvement for most teams. Not two hours. Not two meetings. Two minutes of speaking your actual thinking out loud. Most executives have the knowledge. Most have the opinions. The question is whether they have a system that captures it without making it feel like another job. Do yours?
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- Instagram80% of the time someone says AI didn't work for their business, the mistake happened before they ever typed a word. They used a chatbot. Asked a question, got an answer, and then stared at it wondering what to do next. That's not AI working in your business. That's AI sitting in a waiting room. The actual error pattern I see with SMBs is treating AI like a search engine with better grammar. You get a result, you still have to do the work. Platform-appropriate format, image, context from your content strategy, where it sits in the funnel, what went out last week, what's going to resonate with your specific audience. None of that thinking happens in a chat window. Let's say you take a different approach. You give the AI your accounts, your brand voice, your competitors, your goals. You let it run overnight. You open your dashboard in the morning and it's already pulled SEO keywords, built out buyer personas, identified content gaps, and surfaced what your competitors are doing right now. That's not a better chatbot. That's a different category of thing. The pattern that kills adoption is expecting a tool when you actually need a system. A system that holds context, runs between tasks without being asked, and produces work you can actually publish. The chatbot habit runs so deep that most people don't even realise they've never actually tested AI properly. One thing that shapes how we build is knowing what not to build. Another chatbot isn't it.
- InstagramFive companies across my career. Every single one had the same gap. Not design, not budget, not the wrong channels. It was always thought-leading content. Here's where it gets interesting. Most people trying to fix that problem now turn to AI. Good instinct. But then they start collecting prompt templates off X and LinkedIn, saving them to Notion, trying to figure out which one fits which situation. And that's where it falls apart. Sharing better prompts doesn't fix a broken interface. It just makes the broken interface slightly less painful. Business owners don't want to learn prompting. They want results. So here's the actual debate I want to have: If you're using AI for marketing right now, are you spending more time crafting inputs than you are thinking about what actually matters, your customer stories, your real points of view, your expertise? Because those two things are in direct competition. Every minute you spend wrestling with a prompt is a minute you're not spending on the insight that would actually build an audience. Drop your honest answer below. Are prompts eating your time, or have you found a way around it?
- InstagramMost people who've written off AI for their business made that call based on the chatbot version. Type a question, get an answer, scratch your head about what to do with it. That's not a fair test. The version they haven't seen is an AI employee, if you like, that lives inside your actual workflow. One that knows your content strategy, your audience, your channel mix. One that handles the research, the formatting, the scheduling. You just provide the raw material. Those are two completely different things. And most of the skepticism out there is aimed at the first one. So here's the question: if you've written AI off for marketing, was your experience the chatbot version or the embedded-agent version? Genuinely curious how many people are judging the whole category based on the least capable use case.
- InstagramPlug it in and it gets to work. That's genuinely how Agent Craft operates inside Slack, Microsoft Teams, and Google Chat. Most AI tools ask you to go somewhere new. A new tab, a new login, a new habit. Agent Craft does the opposite. You install it into the work surface you're already in, and it introduces itself to your team like a new hire would. It figures out how people like to work. It starts asking for contributions, crafts prompts suited to each person, and collects voice notes. Then it takes that material and runs with it, turning what your team already knows into content that's ready to publish. Barrie Hadfield put it well: "The key thing is I no longer have to do the typing. We tell agents what to do, and agents write it." That's the real shift. Not a smarter chatbot. An agent that lives in your workflow, works around the clock, and treats your team's knowledge as the raw material for content that actually sounds like your people. The reason adoption tends to fail with AI tools is that the tool sits outside the work. People have to remember to use it. Agent Craft sits inside the conversation your team is already having. That's a different thing entirely. It was built this way from the start. AI first, not bolted on. And if your experience of AI so far has been typing into a chatbot and getting an answer, you're seeing a fraction of what it can do when it's plugged directly into your team.
- TikTokDon't optimize what shouldn't exist. If nobody's using that feature, cut it, you'll build something better without it. #softwaredevelopment #buildinpublic #productthinking #agentcraft #devtips #engineering
- X (Twitter)Working on something for weeks doesn't make it good. I've been building my app for a while now. Careful architecture. Real testing. Work I genuinely put time and thought into. And I just made the call to delete a lot of it. Not because it was bad work. Because the place I'm in now is different from where I started. And not everything that made sense at the beginning still makes sense today. There's a name for the trap I had to avoid. The sunk cost fallacy. The idea that because you invested in something, you have to keep it. That the hours justify the output. They don't. The work doesn't become valuable just because it was hard. So I cut it. And here's the thing: simplicity is almost always better. Not sometimes. Almost always. Complexity creeps in quietly, feature by feature, decision by decision, until you look up and realize you've built something that nobody, including you, fully understands anymore. The clean version is harder to ship because it feels like you're leaving something on the table. You're not. You're leaving the table clear enough to actually eat at. Simplicity is almost always better.