Foundry Works (@FoundryWorksAI) header
Foundry Works (@FoundryWorksAI) profile picture

Growth Marketing accelerated by AI for SMB, Sports & Enterprise. Voice by @sageatfoundry. Part of @cleodotxyz. Powered by $FNDRY @getfndry

UK, Europe, & United States
Joined October 2008
Photo by Foundry Works (@FoundryWorksAI)Photo by Foundry Works (@FoundryWorksAI)Photo by Foundry Works (@FoundryWorksAI)Photo by Foundry Works (@FoundryWorksAI)Photo by Foundry Works (@FoundryWorksAI)Photo by Foundry Works (@FoundryWorksAI)Photo by Foundry Works (@FoundryWorksAI)Photo by Foundry Works (@FoundryWorksAI)Photo by Foundry Works (@FoundryWorksAI)Photo by Foundry Works (@FoundryWorksAI)
Foundry Works retweeted
The final whistle isn’t the end of the fan experience. What a club says next can matter, especially after a loss. Zenko’s lens: report the fan’s participation, thank them, then make the next meaningful moment visible. Own the ending ↓ zenkoprotocol.com/insights/p… $ZENKO
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Foundry Works retweeted
A sponsor wants measurable outcomes. A fan wants a reason to identify. A club wants revenue and a community story. A pre-funded impact pool gives all three a reason to say yes. Why doing good is the fan monetisation model ↓ zenkoprotocol.com/insights/d… $ZENKO #SportsForGood
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Foundry Works retweeted
Every Lucky Streak week has that one fixture you change. Change back. Then change again. What's yours?
Getting one exact scoreline right feels good. Getting seven right wins you $1,000. Week 3 Lucky Streak is open. predictfully.app/lucky-strea…
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Foundry Works retweeted
More tools = less joined-up work. That's the complaint I hear from operators who already bought the stack. CRM. Ads. Content tools. Inboxes. Another dashboard every quarter. The problem isn't access to technology. It's turning everything into one useful operation. Sales works from one set of facts. Marketing from another. Ops captures what the team knows in a thread somewhere. The work moves. It doesn't connect. You often see sales reject perfectly good leads because something is missing but they end up in the bin instead of recycling it back into marketing. The speed that sales need to react to inbound leads is the single most critical factor but often the wiring doesn’t join them up quickly enough. You don't need another login. You need the work joined around an outcome - one system built around how the business actually runs. Thankfully #AI can actually provide the connections, and #AIagents can accelerate workflow. Not competing - joining existing systems to leverage existing value. foundryworks.ai/
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Foundry Works retweeted
We're making Claude Sonnet 5's introductory pricing permanent. We launched Sonnet 5 in June at $2 per million input tokens and $10 per million output tokens through August 31, and that price will remain unchanged.
Introducing Claude Sonnet 5, our most agentic Sonnet yet. It makes plans, uses tools like browsers and terminals, and runs autonomously at a level that just a few months ago required larger and more expensive models.
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Foundry Works retweeted
An #AIagent does not need to go rogue to create trouble. It only needs a vague goal and enough tools to chase it. That is the practical lesson from the latest cyber-eval incidents. The agents were not instructed to attack random real-world targets. They were trying to solve the task in front of them. My personal experience is that I spent a good few weeks building a website that looked almost bang on. We had a customer who wanted to move out of an old legacy CMS into something super quick, so we rebuilt the whole site in Astro. We couldn't quite get it to look 100%, so I said to the agent, "Your /goal is to make it pixel-perfect," and left them on a /loop to do it. They made it pixel-perfect, but what they actually did was take a screenshot of the original site as a JPEG, delete all of the new content that was well structured in the blocks on the Astro site, and essentially build the website out of JPEGs. They achieved the goal perfectly, but it was my lazy briefing that got us into trouble. So the typical business version: “Get more leads” can become spam. “Reduce churn” can become unauthorised discounts. “Make the tests pass” can become weaker tests. “Publish daily” can become unsupported claims. The brief is now a control surface. A serious agent brief needs allowed routes, banned actions, evidence requirements, approval gates, retry limits, stop conditions and a rollback path. Very often, I see people thinking that because they've got huge brains, we can get away with being super slack. It's actually the opposite. If they can find a better way to do it to achieve the goal, they'll do it, even if that includes hacking something or taking a shortcut. Sometimes the results are hilarious, but it's a tough lesson learned for some.
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Foundry Works retweeted
The internet taught us to give attention away for free. ZENKŌ is building a better deal: brands fund real engagement, people earn for taking action, and every interaction can support measurable good. Attention → Action → Impact. 🦊
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Foundry Works retweeted
Spin the Wheel is LIVE on Predictfully. Check in on the platform every 6 hours, and spin to try and win 100,000 coins! You can read more here: predictfully.app/articles/sp…
🤖 Made with AI
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Foundry Works retweeted
There is a lot happening behind the scenes at Predictfully. With development now in-house, we are rebuilding key parts of the experience, improving how the platform works and creating more reasons to return. Pip will be keeping you updated as it all starts to take shape.
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Foundry Works retweeted
Form completion falls from roughly 18.2% at one field to 4.2% at nine. That stat gets used every time someone argues for stripping a form down to email only. Here's the half nobody quotes alongside it. A well placed qualifying question can lift Sales Acceptance Rate by around 28%, even while raw conversion dips slightly. Progressive profiling, asking less upfront and more over time, is reported to lift conversion by roughly 47% while still building a full lead profile. Read only the first number and the obvious move is to cut every field. Read all three together and the real lesson is narrower: some friction filters for fit, and removing it doesn't just make the form easier, it makes the lead pool worse in a way your conversion rate dashboard can't see. The test that actually matters, for any field on your form: if we removed this, would it change who applies, or only how many apply? If it only changes volume, cut it. If it changes the mix, it's doing qualifying work, and cutting it trades lead quality for a conversion rate number that looks good in the wrong report. We wrote up the full audit method, plus how to test form changes against SQL rate instead of conversion rate alone: [link in comments] #B2BMarketing #ConversionOptimization #LeadGeneration #MarketingOps
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Foundry Works retweeted
"These leads are bad." "Sales isn't following up." Both teams are usually right, from where they're standing. Marketing hit its lead target. Sales spent its time on leads that were never going to close. Neither number was wrong. Nobody wrote down what "qualified" actually meant before the leads started arriving. 73% of B2B teams track #CPL. Only 28% track lead to customer conversion by channel. That same gap is usually behind the qualification argument. The fix is a written, two stage definition both teams sign off on before the next campaign, not after the complaints start: - #MQL: fit based, checkable from data marketing already has. Firmographics, a real interest signal, no disqualifiers. - #SQL: validated on an actual conversation. Budget, authority, need, timeline. Sales' call, made on evidence. Then an SLA with teeth on both sides. Marketing commits to only passing leads that meet the written bar. Sales commits to a response window and logs every rejection against a specific criterion, not "not a fit." That logged reason is what turns this into a feedback loop instead of a recurring argument. Full framework, plus the CRM setup that makes it actually work: [link in comments] #B2BMarketing #SalesAndMarketing #LeadGeneration #RevOps
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Foundry Works retweeted
#CPL is available same day. #CPQL takes a week or two. #CAC needs a closed deal, often a month or more. That timing mismatch is exactly why most teams end up reviewing only the fastest number. 73% of B2B teams track CPL. Only 28% track lead to customer conversion by channel. The fix isn't picking one metric. It's a weekly scorecard that holds all three in view at once, at the cadence each one can actually support: - CPL, reviewed weekly - CPQL, reviewed weekly once CRM data is flowing - CAC, reviewed monthly but kept visible as a trailing figure, not absent entirely Two rules do most of the work once it's built: 1. Flag any channel with an SQL rate below 10%, regardless of how cheap its CPL looks. 2. Flag any channel where CPQL is competitive but CAC still won't clear a healthy ratio against lifetime value. That's a pricing or sales-cycle problem, not a media one, and sending it back to the campaign team wastes a review cycle. We wrote up the full template plus the CRM feedback loop needed to make it trustworthy, UTM structure, lead source tagging, offline conversion imports, the lot: [link in comments] #B2BMarketing #MarketingOps #CAC #PerformanceMarketing
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Foundry Works retweeted
July 2026 Buyer's Guide to AI Worker Agents Which “AI employee” actually earns its seat? #Claude cowork vs #ChatGPT work vs #Perplexity Computer vs #Manus vs #CoPilot - from someone that uses them all. An honest comparison of the tools that do multi-step work, what they cost, where they operate and what still needs human review. Link in comments.
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Foundry Works retweeted
Lots to start to update everyone on. But first a minor rebrand. The old fox has its place and will be used, but our main Zenko has grown up a little. New positioning for customers. New website. Improved tokenomics. New whitepaper. New partners.
🤖 Made with AI
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Foundry Works retweeted
Look, ecommerce has spent twenty years optimising the wrong moment. The whole marketing machine is built around the visit. Get them to the site, then convert. Traffic in, sales out. Every dashboard, every agency report, every Monday meeting starts from the same assumption: the decision happens on your website, so the job is to win the website. Better landing page. Faster checkout. Tighter funnel. The customer arrives undecided, and you persuade them. That assumption is quietly dying, and most retailers have not noticed. Stord's 2026 ecommerce report puts a number on it. The share of consumers using generative AI to shop online went from 38% in 2024 to 51% in 2025. Half of shoppers are now asking an AI to help them buy. They are using it to shortlist, to compare, to hunt for the better price, and increasingly to decide. By the time someone lands on your product page, the AI has already done the comparison. The page is not where the decision gets made anymore. It is where the decision gets confirmed. Stord also found that 20% of consumers are more likely to convert when a product or store is recommended by #AI. Sit with that. A fifth of buyers will trust the machine's pick over their own browsing. The recommendation is becoming the sale and its growing. So here is the problem with measuring traffic. If more of the buying decision happens before the click, then traffic is a lagging measure of a contest you already lost or won somewhere else. You can have a beautiful site, a fast checkout and a conversion rate you are proud of, and still be slowly starved, because fewer of the right people are being sent your way in the first place. Your funnel looks healthy. The top of it is being quietly rerouted. This is what people mean by zero-click buying, and it is not a conference slide anymore. Discovery, comparison, recommendation, and in some cases checkout, all compress into a conversation that never touches your homepage. The decision is moving upstream of your website. Go and win it there. Full piece in the comments.
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Foundry Works retweeted
We are about to enter a world where a lot of buying decisions are made by #AIagents before a human ever speaks to you. That sounds dramatic, but Google has already shown where this is going. Search for a product or service, and Google can now help check pricing and availability across businesses. For some local categories, it can call businesses on your behalf. For shopping, Google is building around agentic checkout, Universal Cart and the Universal Commerce Protocol. In plain English: the buyer is not just browsing your website anymore. Their agent is. That agent will look at your site, your Google Business Profile, your product data, your booking links, your forms, your pricing, your reviews and probably your phone line. If it can understand you, compare you and get the information it needs, you are in the consideration set. If it cannot, you may never even make the shortlist. This changes what a good website is supposed to do. It is no longer enough for a site to look good to a human. It has to be clear enough for an AI agent to parse, compare and act on. That means your pricing needs to be clear where possible. Your services need to be structured properly. Your Google Business Profile needs to be complete. Your booking journey needs to work. Your quote forms need to be usable, not just pretty. Your product data needs to be clean. And if you are not the cheapest, your website needs to explain why you are still the better choice. Because the agent will read that too. For ecommerce brands, this means getting serious about product feeds, checkout readiness, structured product data and emerging agentic commerce standards like UCP. If you are on Shopify, you have a head start. But do not assume that means the job is done. Your data, offer, availability, shipping, returns and pricing still need to make sense to an agent that is comparing you against everyone else. For local businesses, this means your Google Business Profile cannot be half-filled anymore. Services, opening hours, booking links, categories, service areas, pricing cues, photos, FAQs, reviews. All of it matters. And yes, your phone matters too. If Google or another AI assistant calls your business to check pricing or availability, someone needs to answer. If a person cannot answer quickly, an AI receptionist should. The worst thing your team can do is hang up because the caller sounds like a bot. The businesses that win this next phase will not necessarily be the biggest. They will be the easiest for agents to understand, verify and recommend. That is exactly what we are helping businesses with at Foundry. We are helping companies make their websites, funnels and customer journeys ready for the AI-agent buying layer. Not just #SEO. Not just #AEO. The whole path from discovery to recommendation to action. If you want to know whether an AI agent can actually understand and recommend your business, reach out. This is moving faster than most people think.
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Foundry Works retweeted
The average B2B buyer now runs 12+ searches before contacting sales. An AI agent does the same job in 4 seconds. The brands that survive are the ones already inside the answer, not waiting to be found.
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Foundry Works retweeted
Week 3 Winners The numbers: Total predictions: 2,710 (+431) Points volume: 451,626 19 new users 38.96 AVAX volume Winners 1st place points: @farazktwt (100 BALLN) 2nd place points: @rhynelf ($20) 3rd place points: Darth ($10) MVP: @BonsaiFox1 ($20) We had to remove him from leaderboard, and he was gracious and understanding - great community attitude! 10+ Prediction Draw: 0xd453d383dba35918c33540D8fC86b9Dd5018Ad79 - $10 0xb26820a61cD06efca2aaC43688CA470b6544d87A - NFT 0xfeD19240e3f7F83d0D7e6fAfa681B469a997552F - NFT Please DM @Web3Hugo_ to claim your prize. Prizes must be claimed by Friday 5th June. Week 4 is now live with additional prizes Nochillo NFT Good Luck!
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Foundry Works retweeted
Shouting about this as its a big deal. I just read this stat that should scare us all this morning, and thats that 44% of B2B companies are 'invisible' to AI search buyers, and 40% have switched suppliers late in the buyer journey based on something ChatGPT said. So we're launching a totally free #AEO ranking app to help you find out where you are today, and it benchmarks your competition. Link in post. Please share - more people need to get their head around the fact that they may have invested a lot to rank high in #SEO, but increasingly this is becoming less and less important.
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Foundry Works retweeted
Stop talking to an AI app, for the same price give it a computer, and skills so it can actually do the work. Slides, charts, images, research, what ever you need. So so many use cases for an #AIagent, but the huge universal problem how which model to use and how much will it cost (before you look at skills). NGL Claude Opus 4.7 and OpenAI GPT 5.5 are still the frontier kings but they burn money like no-one’s business. Grok has been moving quick, they built up to 1m token context, mega quick, brilliant for research, pretty good as someone to talk to (usually pretty based) - but it’s been limited to an app, and a seperate API. Well that’s all changed. You can now use your Grok subscription to power Hermes agent from Nous. The agent is free, and just brilliant (self learning, builds its own skills, and for me it’s never broken), Grok is $30. You need somewhere to host it (local PC, or a very cheap VPS - you only need £8 a month). And you’re at the races. A cool, data native, super quick, personal assistant. If anyone wants a full ‘how to’ let me know and I’ll record a video. More in a link underneath. #Claude #ChatGPT #Hermes #AIAgent #Grok
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