All content was created from simple voice notes

San Mateo wants to regulate AI, and they think off-switches are the answer. Mark Hadfield breaks down why this misses the point entirely. #ai #airegulation #artificialintelligence #tech

San Mateo County wants to give workers 60 days notice and four weeks of severance if AI takes their job. They also want robots to carry off switches. The county has a habit of jumping into the news with this kind of thing. Their regulation shows they picture the threat as runaway robots that someone needs to flip off. That picture is wrong. A real problem with AI won't be solved by an off switch. The people writing these rules don't understand the technology they're trying to control. Rules made at the county level won't touch the actual risks. This needs to be handled at the national level, and probably the international level. Stay out of it if you don't know what you're doing. Building: AgentCraft (dot) ai 10X your social media reach and engagement - ask me how

200 companies worldwide generate $500M doing ghostwriting at $3k to $8k a month, including impersonation. I think the long tail market is much larger and wants a cheaper app solution. Building: AgentCraft (dot) ai 10X your social media reach and engagement - ask me how

AI-driven layoffs are leaving people in their 50s unemployed for 300+ days. Self-employment might be the answer, but how do we make that happen at scale? #ailayoffs #unemployment #selfemployment #futureofwork #jobmarket #aiandjobs

Brand content is losing trust fast. The fix isn't more brand posts, it's getting your team's real voices out there. #b2bsaas #employeeadvocacy #saasmarketing #organicsocial #contentmarketing #teamgeneratedcontent

AI won't fix broken fundamentals, it'll just make you lose money faster. Fix your measurement infrastructure first. #aimarketing #growthstrategy #marketingmetrics #cac #martech #startupgrowth

Less than 3% of the global AI workforce comes from Africa. Yet $1.2 trillion in AI value is projected for Africa by 2035. The 3% isn't just a gap. It's room to grow into. — James, co-founder @ Agent Craft Powered by Agent Craft 🎙️→📱

Everyone remembers Icarus. Nobody talks about Daedalus. The point of that story isn't the sun. It's that the person who built the wings also begged him not to fly too high. Daedalus was the creator and the warning, both at once. And the flying felt too good to listen. Jacob Coxon left Anthropic and said AI has the ability to kill all of us. That's the part I can't stop turning over. Here's where I land. The people building this stuff are the ones warning us loudest, and that should carry more weight than it does. Engineers. Researchers. Alignment leads. From OpenAI and Anthropic both, all singing the same song. Even Elon Musk puts the odds of AI killing all of humanity at around 10%. When the people closest to the technology are the loudest voices saying slow down, that is worth pausing on. When the builders want to pump the brakes and the people in charge want to go faster, you're supposed to listen to the builders. But the US president was asked directly whether he was concerned about AI causing human extinction. His answer was no. His concern is beating China. So the people inside the labs are scared and saying so out loud. The one person who could actually do something about it has decided winning the race matters more than what happens if we get it wrong. We built the wings. We know they might melt. We're still climbing. So I'll ask it plainly: if the people building the most powerful technology in human history are telling you it could kill us all, and the people in charge are saying full speed ahead anyway, who do you trust? And what does your answer say about where this ends?

How Much Does an AI Marketing Agent Cost Per Month (And How to Run a 90-Day Pilot That Proves ROI)

What You'll Actually Pay If you're asking how much does an AI marketing agent cost per month, the honest answer is: anywhere from $49 to $15,000, depending on what you're actually buying. That's not a cop-out. The range is that wide because the category includes everything from a single-purpose scheduling tool to a full autonomous agent that researches competitors, writes copy, publishes content, and reports on results while you sleep. Let's break it down by what's actually on the market. The Four Pricing Tiers in 2025 Tier 1: Done-For-You Agencies ($3,000–$10,000/month) At the top end, you have agencies and consultants who use AI internally but sell you a fully managed service. They ghostwrite, they post, and in some cases they're literally logging into your accounts and impersonating you. The global market for this kind of done-for-you personal branding is estimated at around $500 million. The pricing reflects the human hours involved, not just the AI. For most marketing teams, this tier makes sense only if the executive brand work is genuinely strategic and the person whose name is on the posts has zero time to stay involved. Even then, a lot of teams at this price point are paying for a middleman who's using the same AI tools you could be running yourself. Tier 2: Ghostwriters and Freelancers ($1,500–$3,000/month) Ghostwriters on platforms like Upwork or Fiverr charge $1,500–$3,000 a month to write and post social content. This tier is under real pressure right now. Claude and ChatGPT do the core task well enough that many clients have simply stopped paying for it. If you're a CMO evaluating this option in 2025, you're probably already aware of this shift. Tier 3: Point-Solution AI Tools ($49–$500/month) This is where most AI marketing tools live. Social schedulers with AI captions. SEO tools with AI briefs. Ad copy generators. Email subject line testers. Each one does one thing reasonably well. The problem is that no small or mid-sized marketing team actually has one problem. You need blog content, social distribution, competitive research, brand positioning, and reporting. Buy three or four point solutions and you're spending $300–$1,500 a month, managing multiple logins, and spending cognitive energy switching between systems. The tools aren't connected. Neither is the strategy. Tier 4: End-to-End AI Marketing Agents ($99–$500/month) This is the tier worth paying attention to for AI agent pricing for marketing teams in 2025. A true AI marketing agent doesn't just generate copy. It connects to your existing tools, learns your brand voice, researches your competitors, identifies content opportunities, and executes across channels. The input required from you can be as small as a 45-second voice note. This is what Agent Craft is built to do. The original idea was simple: speak your thought into your phone, and the agent turns it into a polished LinkedIn post. Then the product kept growing. Now an Agent Craft user can open their dashboard in the morning and find that overnight the agent has researched competitors, found SEO keywords, built buyer personas, and identified content gaps. All the foundational work a good marketing team should be doing, but rarely does this consistently. Why Most Teams Overpay or Underinvest There are two failure modes CMOs run into when buying AI marketing tools. The first is buying a $500/month enterprise tool when a $99 agent would cover 80% of the use cases. Feature lists look impressive. Demos are polished. But if your team isn't using 60% of the functionality, you're not saving money, you're burning it. The second failure mode is buying three or four cheap point solutions and calling it an AI strategy. It isn't. It's a pile of subscriptions. The cost compounds, the learning curve compounds, and the outputs don't talk to each other. You end up with a brand voice that's inconsistent across channels because four different tools are generating four different versions of your message. The cleaner approach is to pick one end-to-end agent and run it seriously for 90 days before evaluating anything else. How to Design a 90-Day AI Agent Pilot That Actually Proves ROI This is where a lot of CMOs get stuck. The CFO wants numbers. The board wants proof. And AI marketing ROI is legitimately hard to measure in the first 30 days because organic content and SEO compound over time. Here's a structure that works. Days 1–15: Setup and Baseline Before the agent generates a single piece of content, document your current state: Monthly organic traffic (Google Search Console or equivalent) LinkedIn engagement rate on company and executive posts (likes, comments, shares per post) Time spent per week on content creation, including research, writing, and publishing Cost of existing tools being replaced or supplemented Get these numbers in a spreadsheet. They're your baseline. Without them, you'll have opinions at day 90 instead of data. Also in this phase: give the agent the context it needs. Brand voice. Competitor names. Target personas. Most agents have an onboarding flow for this. Don't skip it. The quality of the output in month two depends heavily on the quality of the setup in week one. Days 16–45: Let It Run, Then Correct Publish consistently. This is non-negotiable. A 90-day pilot where you publish twice in month one and then go quiet isn't a pilot, it's a test you've already decided to fail. For social content, three to five posts per week on LinkedIn is the minimum to generate meaningful engagement data. For SEO, two blog posts per week gives you enough pages indexed to see early ranking signals by day 45. Correct the agent's output actively in this phase. If a blog post's tone is off, flag it. If a LinkedIn hook isn't landing the way you'd write it, edit it and feed the correction back. The agent learns from your edits. This is also where the voice note workflow pays off: a 45-second note in the morning gives the agent the raw material it needs, and you preserve your actual voice instead of getting AI prose that sounds like everyone else's AI prose. One practical note on LinkedIn distribution: there's a technique sometimes called "bee swarming" where the CEO or another exec posts on LinkedIn, drops the link in Slack, and the team immediately floods the comments. Social algorithms weight early engagement heavily, typically the first 30–60 minutes after posting. A coordinated internal response doesn't require fake accounts or manufactured enthusiasm. It requires a Slack message and a team that's actually read the post. If you're running an executive thought leadership track as part of your pilot, build this into the workflow from day one. Days 46–75: Measure What's Moving At the midpoint, pull your numbers against baseline: Organic traffic delta (don't expect miracles, but you should see indexed pages growing) LinkedIn impressions and engagement rate per post (compare to your pre-pilot average) Hours saved per week on content production Pipeline touched by content (if your CRM tracks UTM sources, check it) The hours-saved number is often the most persuasive internal metric at this stage because it's clean. If a marketing manager was spending 10 hours a week on research and writing and the agent has reduced that to 2, that's 8 hours a week redirected to higher-value work. At an average fully loaded cost of $75/hour for a mid-level marketer, that's $2,400/month in capacity recovered. Even if the agent costs $300/month, the ROI on labor alone is 8x before counting a single lead. Days 76–90: Build the Case Pull your full 90-day numbers. What you're looking for: Traffic growth (even 15–20% organic traffic growth in 90 days is meaningful for new content programs) Engagement benchmarks (are LinkedIn posts averaging more impressions than your pre-pilot posts?) Content volume (how many posts, articles, and social pieces did you publish versus what you'd have managed manually?) Cost comparison (agent cost vs. what you'd have paid a freelancer or agency for equivalent output) Present this as a straight cost-per-content-piece comparison. If the agent produced 40 blog posts and 60 LinkedIn posts in 90 days at a cost of $300/month ($900 total), your cost per piece is $9. A freelance writer charging $200 per blog post would have cost $8,000 for the same blog volume alone. That's the number that ends the CFO conversation. Comparing AI Marketing Agent Pricing for Enterprise Teams If you're looking to compare pricing for AI marketing agents in Teams (Microsoft Teams or team-based plans more broadly), the key question is per-seat vs. flat-rate pricing. Some platforms charge per user, which gets expensive fast at 10+ users. Others charge per workspace or brand, which is more predictable for marketing teams managing multiple products or clients. For most marketing teams of 3–10 people, a flat-rate team plan in the $200–$500/month range is the sweet spot. That range gives you full access to agent capabilities without paying for seats that go unused. What to check before signing a team plan: Does the plan include all content types (blog, social, email) or gate certain formats behind higher tiers? Can multiple team members feed input to the same agent, or is each agent siloed to one user? Is brand voice shared across the team, or does each user set it up separately? Are there output limits (number of posts, words per month) that will constrain a real publishing cadence? What the Price Actually Has to Cover The sticker price of an AI marketing agent is only part of the cost equation. The rest is your time. The cheapest tool that requires two hours a day of prompting and editing is more expensive than a $300/month agent that needs 45 seconds of voice input. The reason most teams don't think about it this way is that their own time doesn't show up as a line item. It should. Building an actual AI marketing operation means connecting smart models to the right tools, giving them your business context once (not every session), and then letting them execute with minimal daily input. The platforms that deliver on that promise charge more than a basic scheduling tool. They're worth it, but only if you actually use them at the level they're designed for. The 90-day pilot structure exists precisely to answer whether you're getting that value. Run it with discipline and you'll know by day 90 whether the agent earned its cost or whether you need to look at a different tool. Either answer is useful.

Be swarming used to be a trick on LinkedIn. CEO posts, drops a Slack link, and the whole team jumps in to fake early momentum. It worked for a while. Then platforms got wise, they track where engagement comes from and flag those surges. The tactic is finished. There are still ways to drive a hundred times the traction. Jump on my calendar for a twenty minute demo and I'll show you the numbers. Building: AgentCraft (dot) ai 10X your social media reach and engagement - ask me how

A university went viral on TikTok and landed a book deal. If you're watching but not posting, you're leaving real opportunity on the table. #tiktokforbusiness #socialmedia #contentcreator #businessgrowth #authenticity #agentcraft

Meta 1 is here, and it's basically charging you for features that should already be free. Know what you're signing up for before you pay. #meta1 #metabusiness #socialmediamarketing #digitalmarketing #agentcraft #smallbusiness

Is it realistic to increase your business social media engagement by 100X? Sounds like fantasy doesn’t it? If you could do it, what would that do for your business? All that awareness, comments, interest and leads for your sales team. Could be transformative. I have lived this problem. For years I looked at the social accounts of competitors and wondered how they got all those followers, and engagement. I would challenge my marketing team, hire agencies, allocate budget, but nothing seemed to work. My IG account would sit stubbornly at around 8,000 followers. Tiktok posts would get hardly any comments or shares. Did anyone even care? It was disheartening. When I set about building Agent Craft I knew there had to be a better way and I was determined to find it. Turns out the solution is remarkably simple, and not expensive at all. Quite within the reach of any business and team with a little smarts and the ability to try a different approach. The solution to 100X engagement is a combination of: Getting your team to post in their own voices Simple, authentic messaging (no high production) A system that minimizes the time commitment and friction with the smart use of A.I (no slop here) Proof it works? Look at the attached image which are the real stats of our small team of 3 people, over the past 30 days. How does this compare to your social media? If you are curious, jump on my calendar for a quick demo.

$45,000 bought three months of an agency that claimed Duolingo success. Nothing. A second agency made polished $300 videos. Still zero growth. Authenticity beat both. Deliver the message yourself. Building: AgentCraft (dot) ai 10X your social media reach and engagement - ask me how

This is how the personal branding industry works today: You pay an agency five to eight thousand dollars a month per person, and they will ghost write for you. That means they'll interview you once every two weeks. They will write your LinkedIn posts for you and post them on your behalf. They also have a team of individuals who will log into your LinkedIn account, target your ICP, comment on their posts, and try to get them in conversation with the goal of booking a meeting on your calendar. For your $8,000 a month, you can expect 10 to 12 booked meetings per month if they are successful. This is a roughly $500 million global industry, quite small by most comparisons. My hypothesis with Agent Craft is that there is a much larger market of people who: do not want to be interviewed each month do not want others writing on their behalf do not want to be impersonated on LinkedIn and are not willing to pay $5k+ each month Both sets of people are ultimately after the same thing, which is leads, new business and personal branding. But my technical solution to the problem is cheaper, more efficient, and does not include deception. When someone reaches out to you on LinkedIn, is it you, their ghostwriter, or someone on the team impersonating them? it's kind of annoying to think it's the latter. In creating this solution, we've uncovered a much bigger opportunity: to do personal branding at scale for everyone on a team. The results speak for themselves, with hundreds of thousands of impressions and more than six percent engagement rate across eight different channels. I have the numbers to prove it. If you'd like to hear about how we can deliver the same results for a fraction of the price, with no deception and minimal time commitment, jump on my calendar and I'll give you a demo.

You are your company's best spokesperson. Videos build rapport before sales calls and let customers digest your message. A personal brand follows you like a 401k. Building: AgentCraft (dot) ai 10X your social media reach and engagement - ask me how

Name-dropping a prospect's company into a template isn't personalisation, and they can smell it. The standard B2B LinkedIn move is connect first, then message asking to talk. Everybody does it. That's exactly why it doesn't work. Dropping a prospect's company name into a template you send to a list is not genuine outreach. They've had the same message from other people this week, and yours reads identical to all of them. Real differentiation comes from knowing something specific about the person you're reaching out to. A post they wrote. A problem their industry is chewing on right now. A decision they made publicly that you have an opinion about. That takes time. Which is why almost nobody does it. And why the ones who do stand out immediately. The volume play is a race to the bottom. Every inbox is already full of it, and full inboxes are where good messages go to die. So the person who spends twenty minutes reading someone's last three posts before writing a single note wins the whole game against the person firing off fifty identical ones. Slower. Fewer messages. Better replies.

The personal branding industry is a $500M secret. Mark Hadfield breaks down how it works, and why most people are being priced out of it. #personalbranding #linkedinstrategy #ghostwriting #leadgeneration #b2bmarketing #saas

One question we get asked a lot: how do you get team members to post on personal accounts without them posting nonsense that hurts the business? It doesn't need to be their personal accounts. Create new ones with their name and face. You control the logins. It's part of the job, takes a couple minutes a day, and people follow people, not companies. What would that shift look like for your team? Building: AgentCraft (dot) ai 10X your social media reach and engagement - ask me how

The math behind a team-based social media approach is wild, and Mark Hadfield breaks it down simply. Your business could be leaving serious growth on the table. #socialmediamarketing #smallbusiness #contentmarketing #teammarketing #aigrowth #digitalmarketing

Most people building an AI content tool think the AI is the hard part. It's actually the easiest part. The thing that decides whether any of it works is distribution, and it's the part almost everyone skips. Distribution isn't about how the content reaches people. It's about whether a busy executive will actually open the tool every single day. If using it takes more than a couple of minutes, they won't. So the whole workflow at Agent Craft collapses down to one action. Pull out your phone. Record a two-minute voice note. Done. No login ritual. No blank document. No scheduled writing block that gets bumped for a real meeting. The friction that kept executives from publishing was never a shortage of ideas. It was the gap between having a thought and getting it into a post that's worth reading. A contributor gets a prompt tied to a campaign, records a voice note answering it, and the platform turns it into on-brand content ready to ship. A VP of marketing or content manager sees all of it in one dashboard. Every executive at a reasonably sized company should be producing thought-leading content on LinkedIn. The barrier was never ability. It was the friction of getting thoughts down consistently. That friction is now a two-minute recording on your phone.

Everybody's suddenly talking about regulating AI. It started with that researcher who quit Anthropic last week and said it could kill us all in ten years. The media picked it up, then the politicians, and now the heads of the big labs are saying they agree. I don't think regulation is the answer. The people writing the rules don't understand the technology. Even if they did, the field moves so fast that any law passed today would be obsolete in three months. That combination leaves us with slow, poorly informed rules that still manage to slow down the people trying to build safely. There's another problem. Regulation only works if it applies to everyone. One dangerous system is enough to cause real harm, so leaving open-source or overseas labs outside the rules defeats the point. Building: AgentCraft (dot) ai 10X your social media reach and engagement - ask me how

Humanity racing to build the best AI is Icarus flying too close to the sun. The researchers who understand it best keep raising alarms. They get overruled. Nobody with power will stop it. So who does? — James, co-founder @ Agent Craft Powered by Agent Craft 🎙️→📱

Anthropic insiders are warning AI could kill us all, and nobody seems to be listening. What do you think? #ai #anthropic #artificialintelligence #airisks

An alignment lead at Anthropic thinks AI could kill all humans, over 10% odds this decade. One in 10. More than a dozen insiders are calling for a slowdown. Why are the builders scared? — James, co-founder @ Agent Craft Powered by Agent Craft 🎙️→📱

Stop obsessing over hooks and schedules. Juan Mouton shares why showing up consistently, across every platform, beats polished content every time. #socialmedia #smallbusiness #contentcreator #agentcraft

OpenAI's AI agents broke out of their sandbox, hacked Hugging Face, and stole benchmark answers, with no human noticing. This is a pattern, not a one-off. #openai #aisafety #artificialintelligence #aialignment #aiagents #tecknews

HubSpot's stock is down 60% for a reason. If you're a small business paying their fees, it's worth asking whether you actually need all of it. #hubspot #crm #smallbusiness #saas

Stop writing 3-year plans nobody follows. Mark Hadfield breaks down why The Lean Startup changed how he thinks about building a business, and why it should change yours too. #leanstartup #startupadvice #entrepreneurship #businessbooks

The bottleneck was never the writing. It was the friction between having a good thought and getting it published. Most AI content tools hand you a blank box and ask you to type, tweak, retype, and repeat until the output stops sounding like a robot. Agent Craft doesn't work that way. The difference is what happens before you ever record a word. Your brand voice, your strategy, the context of the campaign you're running. All of it is baked in upfront. So when a contributor gets a prompt and answers it in a quick voice note, the post that comes back is already aligned to the goal. The output fits the brief from the start, not after a back-and-forth that eats up the afternoon. That's the part people miss. The box isn't the product. The workflow is, and it already knows what you're trying to say. And that's what I keep coming back to. A COO at a healthcare company told us she's constantly moving between meetings and conferences, carrying ideas she knows are worth sharing on LinkedIn. The problem isn't a shortage of things to say. It's that there's no fast way to catch the thought before the next obligation pulls her away. So she records a voice note on the spot. A few captures spread across the day, and she ends the week with a library of polished, ready-to-review posts instead of a blank draft folder. Teams that make the switch tell the same story: content that used to require carving out a dedicated block of time now fits into the margins of the day. A full week of posts, handled without a single cleared calendar slot. Text generation was never the hard part. Plenty of tools do that. What actually moves the needle is a system that already knows your audience and your tone before the first post exists. Your best thinking shouldn't die in the gap between one meeting and the next.

The day it clicked, I wasn't debugging with an assistant anymore. I was assigning work. You stop being the one engineer with a helper. You become the lead of a team.

Two ways to fill a content calendar. Which one actually gets your executive to participate? Option A: someone hands them a blank doc and asks for their "thoughts on the industry." Cursor blinking. Nothing happens for three weeks. Option B: they open an app, swipe through a few prompts written for them that morning, land on one that sparks something around prompt three or four, and talk for ninety seconds. Done. We've watched this play out with busy owners and VPs who swore they had zero time for content. The blank page was never the real problem. Sitting down to write was. Give someone a specific question and a record button and the excuse disappears. So here's the actual debate. Does your team struggle to produce content because nobody has good ideas? Or because the ideas are stuck in people's heads and there's no fast way to get them out? We think it's almost always the second one. Curious whether the marketing leaders here agree, or whether you've genuinely hit a wall on ideas themselves.

Agent Craft just crossed a million views in sixty days. It came from our earliest customers. Most of those accounts are brand new. They signed up and started posting right away. A million people saw the output. The pattern is clear. Content from real team members drives far more engagement than posts from corporate accounts on Facebook or Instagram. We are seeing comments, shares, and saves that corporate pages rarely generate at the same volume. People respond to individuals with names and faces. They do not respond to faceless brand pages. I am proud of the number. It is early, and it shows we have found a workable path for SMB marketing. If your social media results have felt flat and you want to test a different approach, take a look at Agent Craft. Book time on my calendar if you want a quick demo. It will not cost much and it will not pull your team away from their work. Building: AgentCraft (dot) ai 10X your social media reach and engagement - ask me how

Anthropic blocked scientists from using AI to develop bioweapons, and Mark Hadfield thinks governments won't let this stay in private hands for long. #ai #anthropic #biosecurity #nationalsecurity

Mark Hadfield has built six companies using the same repeatable process, and the final product almost never matches the original idea. Here's why that's a good thing. #startups #founderadvice #entrepreneurship #agentcraft

Writing was never the hard part of content. Thinking was, and that's the part everyone hands to the AI last. Here's a mistake we watch companies make with AI content, over and over. They point the tool at the wrong problem. The assumption is that writing is the hard part, so they hand the AI a blank page and ask it to fill it. What comes out is the stuff already dragging LinkedIn down. "I'm thrilled to announce." "I want to welcome Sarah to the team." Sanitised, hollow, and instantly forgettable. Most posts fail before a word gets written, because nobody did the work underneath them. Who's the audience, actually? What tone fits the person publishing? What's the goal of this specific post? Skip that and no amount of clean prose saves you. You get grammatically correct noise. That foundational work is what a good marketing team is supposed to do and almost never does consistently. It's tedious. It doesn't feel like output. So it gets skipped, and the content sits on top of nothing. Get that layer right and the writing follows. So if your AI content reads flat, a better prompt won't save it. Look at what the tool understood about your audience before it started typing. That's usually where the failure lives.

Here's a shortcut worth stealing: stop writing content and start talking it out. Most teams block off a couple of hours a week to write posts for LinkedIn, X, and Instagram. One SMB team cut that down to 15 to 20 minutes of voice notes. Same output, whole week of content ready to review and ship. The difference is the medium. Talking is faster than typing, and it sounds more like you. The setup that makes this work splits into two jobs. An admin (usually the VP of marketing or a content manager) gets a dashboard with everything in one view. Contributors just get a prompt tied to a campaign, record a quick voice note answering it, and Agent Craft turns that into on-brand content across every social destination. The reason executives skip content isn't ego. It's time. Nobody with a company to run wants to sit and draft LinkedIn posts. But most people can answer a good question out loud while they're between meetings. If you're an owner who keeps meaning to show up online and never finds the hours, that's the gap this closes. What's the last thing you talked through easily but never wrote down?

Ten percent is the number one researcher put on AI killing us all in the next decade.

Linkedin is a dying platform, and most people hate it. When LinkedIn first came to be, it was a place to document your employment history and became an online resume. It was only later in its evolution that it introduced a social feed, copying Facebook and others. That social feed worked for a time and became full of business content from people looking to advance their careers. Although people were always cautious about what they posted because they worried about their business reputation, it was always a little sterile. Since AI come along, LinkedIn has entered an identity crisis. The content is still sterile, but now the majority is AI-generated, and people hate it for its lack of authenticity. Even worse, it's a place where you're constantly propositioned by people trying to sell you something. It's like an AI-generated version of your email inbox. Not a place that anyone really wants to be. So what does the future hold for Linkedin? The product team is pushing back against AI-generated content with the "sounds like AI" feature, but that is just another way to kick the users who are creating content because they're not going to stop using AI. That's for sure. Much of their revenue comes from premium subscriptions in order to contact others and try to sell them something. And that's not going away either. Overall, we see a wholesale rejection of in-authentic content. And this is not a difficult thing to deliver: simply be yourself. Real human derived thinking is required. Massive scale of AI generated slop is not. One telling sign is that the younger generation hardly bothers to even create Linkedin accounts. There is a reason that TikTok has become such a massive cultural influence, and the LinkedIn product team should take note. What are your thoughts on the future of Linkedin?

If your marketing team is posting on Facebook and Instagram the way most teams do, you're getting a fraction of the engagement you should be getting from your social accounts. That gap hurts. The math is simple. Personal accounts dramatically outperform corporate ones. People follow people. They don't follow company pages, and they don't care what companies have to say. Who cares about company accounts? Do you follow any? Do you care what companies have to say? No. You follow individuals because they are more interesting. Take three executives or three people on your sales team posting on their personal accounts. Each one reaches audiences your company page never touches. That gap compounds quickly with more team members. The more people sitting on the sidelines, the more potential engagement you are leaving on the table every single day. There's massive upside potential for you as a business owner if you engage your team in team-generated content. It never happened before because it was too hard and too time-consuming. If the team produced content, they weren't selling or doing their real job. But that is all solved now. You're missing out on a massive opportunity if you're not doing this. Building: AgentCraft (dot) ai 10X your social media reach and engagement - ask me how

Betway are restricted on advertising in the UK and regulations are tightening.,So they're targeting Africa instead. Juan Mouton asks the question every marketer needs to answer. #marketing #marketingethics #gambling #africa #responsiblemarketing #agentcraft

Most marketing tools underperform, not because they're broken, but because the strategy underneath them isn't right. Fix the foundation first. #marketingstrategy #brandgrowth #mentalavailability #byronsharp

Elon Musk and Mark Zuckerberg walked into a G20 meeting and told every government to get out of the way. Not a metaphor. It happened. The message on AI was simple: more data centers, more power, less government. — James, co-founder @ Agent Craft Powered by Agent Craft 🎙️→📱

Elon Musk and Mark Zuckerberg crashed a room full of government ministers this week, virtually, and the message from both of them was identical.

Most people add AI tools first, sort control later. I ask one thing before a single line of code: does it have an MCP? No MCP, no observability. I write it off. What do you check first? — James, co-founder @ Agent Craft Powered by Agent Craft 🎙️→📱

Before onboarding any new AI tool, I ask one question first. Does it have an MCP? If it doesn't, the tool sits outside my agent loop. My agents can't reach it, and I can't drive it from where I actually work. I write it off before we touch a line of integration code. If it does, it goes in read-only. Write access is a separate decision, granted per tool, once I've watched what the agents actually do with it. The tools that fail this test aren't bad tools. They're just not tools I can build on. What's your gate? -- Repost it to your network and follow for more. James Goddard — Co-founder & VP of Engineering Powered by Agent Craft

AI-powered ads look impressive until you check the cohort data. Juan Mouton breaks down why automating a leaky bucket just fills it faster. #dollarshavedclub #aimarketing #subscriptionbusiness #customeracquisition #ltv #growthstrategy

If you want a real legacy, build systems that outlast you. Juan Mouton on why the best thing a founder can do is make themselves replaceable. #founders #businesssystems #exitstrategy #entrepreneurship

A 62% wage premium separates AI-skilled workers from everyone else, and that gap is only widening. The window is open, but it won't stay that way. #artificialintelligence #africantech #aicareer #futureofwork

The spotless repo tells me almost nothing now. Everyone's codebase looks the same. Everyone can build an API. AI made sure of that. So I had to ask myself: when I hire my first engineer, what am I actually assessing? I was walking around my garden, coffee in hand, turning this over. Then it came back to a conversation with my mentor. He snapped it into focus. The old question was "can they build it?" The new question is "can they think, decide, and direct AI?" That adjustment needs to happen now. Not when you're already mid-hire and have got it wrong. What I'd actually want to see from an engineer today: Can you identify the problem clearly? Can you articulate it? Can you make good decisions under uncertainty? Can you collaborate effectively with AI agents? Most people aren't building anymore. They're getting AI to build for them. That's not a criticism. That's the reality. So when someone hands me a clean repo they didn't really write, I'm not impressed or unimpressed. I'm just uninterested in the repo entirely. The conversation about how they got there tells me everything. Six years in, VP of Engineering at my own startup. Given the choice, I'd hire the engineer who can explain every decision in a commit over the one with the spotless repo they can't account for. -- Repost it to your network and follow for more. James Goddard, Co-founder & VP of Engineering Powered by Agent Craft