Web3 Firehose

I came across this interesting graph Dr Grace Kite posted which revealed the extent of the in-housing trend that's disrupting the entire supplier ecosystem worldwide. WPP's recent consolidation of their media brands in the face of sustained underperformance is symptomatic of this trend which exploded in 2019/20. All companies are clearly moving away from retaining large holding co agencies in favor of mostly in-housing solutions - as well as nimble, specialized independent agencies (aka 'indies). But why? Is this all about cost savings? No There are a bunch of reasons why a movement away from the traditional agency model provides more value. Reasons which Chris Maxwell and I discuss with multiple anecdotes from our own experience. Chris with larger, enterprise corporate firms. And me with privately-owned mid-cap companies and startups. And now with the introduction of low-cost, AI systems, we expect this in-housing trend to only continue. Which has massive ramifications for all those who work in the industry, as well as the executives funding the function. Especially CMO's still reliant on the old way (retain a large agency, produce a high-production value, expensive TVC - with a splash of outdoor, cut-downs for social etc.) So if this short teaser left you hanging and you want to learn how the best brands in the world are embracing the new wave... Watch on YT now here https://lnkd.in/gHAXuxVW Listen on Spotify now here https://lnkd.in/gu6c7WHm Listen on Apple now here https://lnkd.in/g55wrhYb Join thousands of other strategy aficionados who value being kept at forefront of industry trends and news, by subscribing to the Champagne Strategy Podcast. PS. Listen to some of the early episodes and predictions made in 2019/20 if you don't believe me. Because by the time you're reading about it in Campaign, TheDrum, AdNews or AdWeek...it's already too late.

Elad Gil started betting on AI before most of the world took notice. By the time investors began grasping the implications of ChatGPT, Gil had already

🧠 16 AI Strategy Playbooks You Shouldn’t Miss From Microsoft, McKinsey, BCG, Google, Deloitte, Bain, Accenture, and more — these strategy guides are pure gold. They cover: ▫️ How top firms align AI with business goals ▫️ What metrics actually matter ▫️ How to stay agile in a fast-changing space Practical. Insightful. Actionable. ✅ Full curated list with links here: 1) Accenture – The Art of AI Maturity ➜ https://lnkd.in/g4kyWCNd 2) Amazon – AI/ML/GenAI Cloud Framework ➜ https://lnkd.in/gbmUAgQT 3) Bain – Transforming CX with AI ➜ https://lnkd.in/gqq-66ST 4) Bain – Winning with AI ➜ https://lnkd.in/gWk84MjS 5) Booz Allen – Securing AI ➜ https://lnkd.in/gceVreFG 6) BCG – Transforming with AI ➜ https://lnkd.in/gWtqJFuB 7) Deloitte – AI Transformation ➜ https://lnkd.in/gGNURxzq 8) Google – AI Adoption Framework ➜ https://lnkd.in/gCj2S6uF 9) IBM – CEO’s Guide to GenAI ➜ https://lnkd.in/gqDam-yS 10) McKinsey – The Executive’s AI Playbook ➜ https://lnkd.in/gFRqm2MW 11) Microsoft – CIO’s GenAI Playbook ➜ https://lnkd.in/gbJ4vwVE 12) PMI – DS/AI Project Playbook ➜ https://lnkd.in/g7_wQbRs 13) PwC – Agentic AI Playbook ➜ https://lnkd.in/gSicWfeV 14) PwC & Microsoft – Deploying AI at Scale ➜ https://lnkd.in/gwg-CBBb 15) Scaled Agile – AI-Augmented Workforce ➜ https://lnkd.in/gunGGgWJ 16) World Economic Forum – AI C‑Suite Toolkit ➜ https://lnkd.in/gh-FQT72 Want more? Find more resources for founders, CEOs and VCs below 👇 https://lnkd.in/dxWsxKZU Hat tip to Martin Vonderheiden for doing the heavy lifting on this one

I don’t mean to be a broken record but AI development could stop at the o3/Gemini 2.5 level and we would have a decade of major changes across entire professions & industries (medicine, law, education, coding…) as we figure out how to actually use it. AI disruption is baked in.

Manus is a general AI agent that turns your thoughts into actions. It excels at various tasks in work and life, getting everything done while you rest.

SYSTEM PROMPT TRANSPARENCY FOR ALL

🚨 This might be the biggest leak of system prompts in 2025. I just found a GitHub repository with system prompts for 7 major AI tools, including Lovable and Cursor. Whether these are legitimate or not, the prompts provide rare insights into how the most sophisticated AI systems are engineered behind the scenes. Here's what I found: 1️⃣ Cursor – code editor with integrated AI coding assistance. ↳ https://lnkd.in/ePTziCFD 2️⃣ Devin AI – AI agent that can autonomously develop and deploy software. ↳ https://lnkd.in/esPmmXUj 3️⃣ Lovable – tool that generates code and applications from natural language instructions. ↳ https://lnkd.in/eUExjpqk 4️⃣ Manus Agent – AI system for automating repetitive business processes. ↳ https://lnkd.in/etaHqgze 5️⃣ Bolt – team productivity tool powered by AI automation. ↳ https://lnkd.in/eEuc9h-x 6️⃣ Replit – cloud-based integrated development environment with AI features. ↳ https://lnkd.in/ey5tWg2t 7️⃣ v0 – tool that creates UI code from design prompts using AI. ↳ https://lnkd.in/e_jh23sW These prompts are treasure troves for understanding LLM prompting and can serve as a powerful foundation for your own AI agents, custom GPT projects, or Claude Project. Do you think these leaked prompts are authentic? Let me know your thoughts! ♻️ Share to accelerate AI innovation in your network. The future belongs to those who build it together. | 52 comments on LinkedIn

We had an #AI Briefing with a client yesterday and one of the recurring themes was how to integrate #artificialintelligence with human contribution and oversight. This issue runs from the tactical (proofing and improving AI-generated content), all the way through how to engage senior leaders on the potential and pitfalls of an #aistrategy. No AI initiative can work without human engagement and oversight. A good articulation of the challenge from Boston Consulting Group (BCG) below https://lnkd.in/e9kB7YTQ

the new startup playbook looks NOTHING like the old one: – most of your team will be part-time contractors, creators, and ai agents – your first $1m will come from niching down. your next $10m will come from tastefully scaling out – one agent spins out 50 longtail SEO pages from transcripts, support tickets, or user reviews – startups are turning into QVC. except this time, you own the channel and the product – onboarding will feel like texting a friend. static forms are dead – every landing page rewrites itself based on who's viewing it (claude or chatgpt-4o + session data) – every successful company will feel like a subculture. the product is just a portal in – outbound are agents scraping, qualifying, and writing personalized intros 24/7 – customer support = 1 human backed by 5 lindy agents trained on every support ticket ever written – micro-apps will outperform mega-tools. specific > general – growth isn’t an afterthought. it’s built into the product (agent-invite loops, ai-powered referrals) – if your product doesn't spark curiosity in 2 seconds, it’s invisible – the best products of the next decade will be memes first, software second – “launch” is outdated. leak it instead – the new pricing model: $0 to play, $x to unlock identity – you won’t sell software. you’ll sell outcomes, transformations, identity upgrades – more people will leave big tech to build solo. not out of rebellion, but because their side hustles are more interesting – the best homepages become a scene. your standard shadcn websites won’t hit the same – default alive is low burn, small team, owned audience, high-leverage systems – competitor research happens automatically. agents scrape, cluster, and surface positioning gaps – your CRM isn’t stale. agents log calls, summarize deals, and write follow-ups before you hang up – venture capital is optional – customer success isn’t reactive. agents predict churn based on tone in support chats and usage – we’ll see more “tiny empires”: one founder, one audience, and a constellation of tools they own – bug reports are summarized, tagged, prioritized, and triaged by an agent before eng ever sees them – IRL matters. founders become event planners – most SaaS is overbuilt. the next wave wins by subtracting – if your product can't be explained in a screenshot, it won't spread – the creative director is the new power hire. taste is now a growth lever – churned users get a custom winback campaign built by an agent based on why they left – knowledge base builds itself from slack threads, loom links, and discord q&a (agents + gpt vision) – product feedback loops are instant. users speak → agents summarize, prioritize, and mock ui changes – startup advice used to be: find a technical cofounder. now it’s: find a distribution edge – your product isn’t finished when it works. it’s finished when people want to wear the hoodie – the people who win distribution will own demand. the rest will rent it | 54 comments on LinkedIn

The 2025 AI Index from Stanford HAI offers the most comprehensive snapshot of global AI progress, spotlighting trends like exponential growth in LLM capabilities, declining training costs, surging AI investments, and increased regulatory momentum. Analysts emphasized the importance of the top 10 takeaways page, calling it a must-read for leaders who want a quick yet authoritative pulse on AI's trajectory across industry, academia, and policy.

The founder and CEO of IPO-bound fintech Klarna took to X to once again explain why his company ditched Salesforce’s flagship CRM product about a year ago

Every sales tool we use to run our $3.6M+ ARR outbound agency: CONTEXT We run go-to-market campaigns for 60+ b2b companies. They're: - in various niches -… | 40 comments on LinkedIn