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The numbers in Databricks' annual State of AI Agents report are striking. Drawing on telemetry from over 20,000 organizations (including 60%+ of the Fortune 500), the report shows multi-agent systems grew 327% in under four months, and more than 80% of databases are now built by AI agents. Companies with AI governance frameworks pushed 12x more projects to production. Of the top 15 enterprise use cases, 40% center on customer experience and engagement.
AI has changed what's possible in the first session. Products that haven't adopted the technology are already behind. The companies that compound growth over the next few years will be the ones that turn early value into lasting workflow habits. Strong first outputs, self-building setup, and onboarding that adapts to what users actually say they need are real improvements.
Leaders obsess over culture when they should start with their vibe. That vibe shapes the environment (processes, approvals, and work patterns), and culture naturally emerges from that environment. Misaligned environments frustrate A-players, slow output, and create politics. The solution is explicit leadership, environment design, and clarity, not trying to force culture directly.
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This year it's built around one topic: inference at scale. Hear from teams building infrastructure that companies like Character AI and Workato run on. Qualifying in-person attendees can receive up to
Generate product photos and video ads from a single product image for ecommerce marketing.
Gerri is the AI agent for contracts that delivers lightning-fast reviews grounded in company-specific rules.
AI agents that connect to all your tools, use computers in the cloud, and run automatically 24/7 to get real work done.
AI agents are often more important than the CRM itself. Businesses should pick the platform where their agents can do the most work. Every agent deployed deepens a company's commitment to the platform they run on. This means the CRM decision is now also an AI infrastructure decision.
Vertical software has never escaped a persistent ceiling. It competes for IT budgets rather than the far larger labor spend underneath it, and often requires new headcount to manage. Vertical AI moves the ROI calculation from software budgets to people budgets. This will open up a category of business that the SaaS model structurally can't support.
Tech shifts like cloud migration and AI are transforming the industry at unprecedented speeds, making previously valuable skills less relevant.
Read-MCP businesses serve enriched context into harnesses, while Write-MCP businesses execute actions and write into a common database.
Most strategic errors are failures of zoom level.
Some founders become inseparable from their company's narrative.
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CRMs only work if you keep them updated. You don't have time for that. Lightfield is an AI-native CRM [4] with a built-in call recorder that keeps every record up to date.
Decision traces can create a compounding loop in B2B, similar to how consumer platforms leveraged behavioral data. Unlike B2C, enterprise decisions involve multiple stakeholders and complex workflows, making reasoning hard to capture. Traditional software records outcomes but misses the “why.” New AI agents, operating in the write path of workflows, can log structured decision artifacts in context graphs, enabling prediction, learning, and institutional knowledge capture that transforms enterprise value.
Gemini Deep Research analyzes real sources for prediction markets, avoiding AI hallucinations and synthesizing insights from dozens of references automatically. The tool starts by reading market resolution rules, then produces structured reports including probabilities, key factors, and mispricing analysis. Users can stress-test theses or assess breaking news impacts by giving Gemini a few core links and letting it generate detailed, source-backed insights.
When you do customer interviews, you learn what's painful for them and how they currently handle it. The pain part is worth listening to. The process part - how they work around it with their current tools and team - can actually lead you astray if you take it too literally. You end up building a faster version of a workflow that probably shouldn't exist at all.
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We analyzed 400+ TLDR campaigns to find out why. Ads that lead with the payoff actually underperform.See what the top performers do
Thesys is an API middleware that augments LLMs to respond with interactive UI in real-time instead of text.
Talk to AI "essence models" of historical figures or build one of yourself.
Free podcast hosting built for AI agents.
The postmortem from Convoy (the $3.8B logistics unicorn that shut down) just dropped at the Seattle AI Startup Summit. The biggest regret isn't product or market. It's culture. 80% of your team should be "wall-knockers" who show up and knock things down daily. The rest is noise. Stop writing instructions nobody reads. Build systems that make the right behavior the default behavior.
MEDVi is the "two-employee $1.8B revenue company" the NYT framed as an AI success story. Fabricated doctor profiles, an intake that approved a patient wanting to reach 60 pounds, an FDA warning letter, a data breach, and a class action. The stack that made it possible wasn't AI. It was post-COVID telehealth deregulation, rented clinical infrastructure, and insatiable GLP-1 demand.
Legibility involves making systems interpretable for control, while legitimacy determines the acceptance of that control. Jack Dorsey's recent post suggests AI can replace traditional management layers, making decisions faster and clearer, but avoids addressing power dynamics and true legitimacy. The core concern is whether AI's promise of efficiency shifts control illegitimately to those owning the models, ignoring deeper philosophical questions about value and human roles.
Over half of CIOs plan to replace parts of their software stack with AI.
Using a title creates expectations that misrepresent what agents actually do.
Building in public could destroy your business nowadays, as people can use AI agents to copy ideas and clone apps.
This article offers practical tips for building a better personal network.
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Your startup will change, but your web platform shouldn't have to. WordPress.com [4] is the managed WordPress platform built so you can do a 180 without replatforming.
(plus a 14-day money back guarantee)
RevenueCat processes well over $1 billion a month in mobile subscription revenue across tens of thousands of apps. 50% of North American mobile subscription apps are powered by it. The number of new developers shipping their first production app on RevenueCat grew by over 40% in March. The vibe coding wave has led to a surge of developers building new apps, and RevenueCat was in the right place to lean into the tailwind.
Per-seat pricing doesn't make much sense when your next power user doesn't have a pulse. Charging for software access breaks down when the "user" is an agent doing work autonomously, and the shift toward charging for outcomes delivered is already underway. Founders who don't rethink pricing for this will get undercut by those who do.
Warp grew to half a million developers using its product by 2024 through its YouTube channel, GitHub READMEs, Google ads, and sponsor hackathons that marketed to the judges. None of these were obvious channels when Warp started using them. The best growth channels are the ones nobody is talking about yet. Find an untapped channel, run it hard, and move on when it saturates.
Chatbase hit $9M ARR with 18 people, 10k+ paying customers, and zero outside capital. The full playbook is here. Most bootstrapped founders stay small because they think like bootstrapped founders, not because they lack resources.
Your website now has two audiences: humans and AI crawlers, and most B2B sites are still only built for one of them. 30+ examples of what actually works in 2026, from leading with social proof over feature lists to embedding meeting scheduling directly into demo flows instead of gating behind email.
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We analyzed 400+ TLDR campaigns to find out why. Ads that lead with the payoff actually underperform.See what the top performers do
Run background coding agents from anywhere.
Create and publish native mobile and web apps without coding.
The SDK for vertical video.
The narratives that help founders raise money often become the same narratives that blind them to what's actually happening in the business. Useful gut check for anyone who's been pitching the same story for a while without pressure-testing it.
Liquid Death produced its Super Bowl ad for $300k internally while competitors spent millions. The framework starts from assuming your product is a commodity because it probably is, then winning on being memorable instead of being marginally better.
AI agents always give their best, while human agents often offer their best up front, then drop the quality over time.
Trial by fire confuses exposure with development.
Use small talk to build connection, add business context so workers understand why the work matters, and treat them like owners by asking them to design rather than just execute.
The conventional wisdom that you need a co-founder is getting challenged.