Dalton DeLuca
Nashville, Tennessee, United States
3K followers
500+ connections
3K followers
500+ connections
Activity
3K followers
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Dalton DeLuca posted thisIndependent insurance agency owners who aren't thinking about AI yet are already falling behind. The agencies growing the fastest right now don't necessarily have the biggest teams or spend the most money. They've tackled the manual processes their team used to spend too much time on. ACORD form processing, carrier portals, renewal tracking. At a 5-person agency, those three things can eat 20+ hours a week. The agencies that automated them got that time back and put it toward actually growing the business. A handful also ended up cutting costs on tools they no longer needed once things were consolidated. It doesn't have to be a dramatic shift in how you do business. It's mostly just what happens when someone finally sits down and asks, "why are we still doing this by hand?" Vertafore just surveyed 1,300+ independent agency professionals and the top thing they said they want in 2026 is less admin, more client time. [https://lnkd.in/ghkpgT7U] If you're curious what that actually looks like in practice, happy to chat.
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Dalton DeLuca reposted thisDalton DeLuca reposted thisRight now, most AI-built sites look like they were all made by the same person. And they kind of were... It's because of something called distributional convergence: AI models predict the most statistically likely design choices. That means Inter font, purple gradients, white backgrounds, and zero animation. I've been deep in the weeds researching how to actually fix this with Claude Code, and the most counterintuitive finding? More specific prompts often make it worse. Telling Claude "use #2A3F5B for the background" triggers pattern matching. But saying "atmospheric backgrounds with layered depth" triggers creative reasoning. The difference in output quality is night and day. A few things that actually move the needle: → Explicitly ban the defaults. Telling it "never use Inter, Roboto, or purple gradients" eliminates the highest-probability generic outputs → Reference feelings, not specs. "Spotify met a disco ball at a Nordic design conference" communicates more than a hex palette ever will → Typography alone changes everything. Extreme weight contrasts (100 vs 900) and 3x+ size jumps cause Claude to elevate ALL its other design decisions → Install Anthropic's frontend-design skill. One file that injects design-thinking context and steers toward bold aesthetic choices instead of safe middle ground You can also use v0 or Lovable for initial visual exploration, then bring those components into Claude Code for production-quality code, accessibility, and design system integration.
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Dalton DeLuca posted thisPeople are talking a lot about AI agents. But what does that actually mean? Here's the simplest way to explain it: Regular AI is reactive. You ask it something, it responds. That's it. An agent is different. You give it a goal, and it actually goes and does the work. Multiple steps, multiple tools, making decisions along the way, without you babysitting it through every action. Right now you might use AI to help you draft a follow-up email. That's useful. An agent reads your inbox, identifies which leads are worth following up on, drafts the emails, and logs everything in your CRM. You didn't touch any of it. That's much more than a helpful chatbot. The businesses that get this right over the next 12-18 months aren't going to be slightly more efficient. They're going to be in a completely different league. We're still early and most of what's being called "agentic AI" today is barely scratching the surface. But the direction is obvious. This is the exact problem we're solving at OpSpring.ai. If you're curious how AI agents could fit into your business, let me know.
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Dalton DeLuca reposted thisDalton DeLuca reposted thisOpus 4.6 just dropped. The headline is the 1M token context window. You can now feed Claude an entire codebase, a full set of contracts, or months of customer conversations, and it maintains coherence throughout. The "context rot" problem that plagued long agentic sessions has been significantly reduced. The agent teams feature is the other big shift. Instead of one agent grinding through a complex task one after another, you can now spin up coordinated agents that divide work and operate in parallel. For us at OpSpring, this changes what's possible in a single engagement. Workflows that required multiple passes and manual orchestration can now run as smooth operations. The companies that figure out how to design, deploy, and manage these agent teams effectively will be operating on a fundamentally different capability curve. Same pricing as Opus 4.5 too!
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Dalton DeLuca posted thisMost people use AI to write sales emails like this: "Write me a sales email for my product." Then they wonder why the output sounds like every other generic cold email in their prospect's inbox. Here's how to actually write useful sales emails using AI: 1. Give it a role and a reader. "You're a B2B sales rep reaching out to a marketing director at a mid-size e-commerce company who's struggling with attribution." The more specific the reader, the more relevant the email. 2. Feed it context, not just instructions. Paste in your prospect's LinkedIn headline, a recent post they wrote, or a problem they are facing. AI can't personalize what it doesn't know. 3. Tell it what NOT to do. "Don't use the phrase 'I hope this email finds you well.' Don't pitch in the first two sentences. Keep it under 100 words." Constraints produce better output than open-ended instructions. 4. Ask for variations, not perfection. "Give me 3 versions: one direct, one curiosity-driven, one referencing their recent post about x" Pick the best pieces from each. That's how you get emails that actually sound like you. PS. I've tested email/content writing on most of the major AI models. Claude has consistently given me the best results. It picks up on tone and context better and the emails actually sound human. Worth trying if you haven't. #Claude #AIPrompts #Sales #AI
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Dalton DeLuca shared thisGoogle isn't the only search engine anymore. ChatGPT now has around 1 billion weekly users. Google's own AI Overviews now show up on about 1 in 4 searches. And 58% of Google searches are ending without a click, meaning users get their answer right from the AI summary and never visit a website. This is why AI Search (GEO) is a major focus for us right now at OpSpring. Traditional SEO gets you ranked. AI search gets you cited. When someone asks ChatGPT "what's the best X for Y", if your brand isn't part of that answer, you don't exist to that person. Something else interesting: only 7% of sites appear in both Google's AI Overviews AND ChatGPT results. So ranking on Google doesn't necessarily mean you'll show up when people ask AI similar questions. While it is increasing everyday, traffic from AI search is still far less than Google, but those visitors convert at 4.4x the rate. They show up ready to convert. BrightEdge just released data this week showing the AI search landscape is already shifting: Gemini overtook Perplexity in December, and marketers now need to "master both traditional SEO and GEO" to stay visible: https://lnkd.in/eRGKMVtK We're helping businesses figure out where they stand and what to fix. If you want to see how you currently show up in AI responses, we are happy to help. #AISearch #GEO #SEO #ChatGPTAI Darwinism: New BrightEdge Data Reveals AI Pioneers StallingAI Darwinism: New BrightEdge Data Reveals AI Pioneers Stalling
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Dalton DeLuca reposted thisDalton DeLuca reposted thisMy team and I have been using Claude Code like a personal chief of staff. We hooked it into our workspaces via MCP (calendar, email, tasks, Drive), so it can do things like daily briefings, email triage, project tracking, travel planning, whatever we want in natural language. The big win is it all lives in a git repo, maintains constant context of everything going on, so Claude can actually read the system, update it, and keep us honest. It’s been genuinely useful for juggling multiple companies and a bunch of workstreams without dropping balls. Anthropic just released CoWork, which feels like a similar “agent with context” vibe, but way more approachable. You can point it at a folder and it starts organizing, creating, editing, etc. If you’re curious how I’ve got it set up, hit me up and I’ll walk you through it.
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Dalton DeLuca reposted thisDalton DeLuca reposted thisIn 2025, it felt like everyone was building AI… and then asking, “Now what?” This article is a good snapshot of where things are heading in 2026: pragmatic deployments, smaller models where they make sense, and agents that actually connect to the tools where work happens. This is the direction we’re betting on at OpSpring! https://lnkd.in/g6UpJexzIn 2026, AI will move from hype to pragmatism | TechCrunchIn 2026, AI will move from hype to pragmatism | TechCrunch
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Dalton DeLuca shared thisExcited to share Trey Yadon's announcement below! Practical AI, better systems that work together, is the fastest way to reduce time wasted on repetitive busywork and unlock growth for small to mid-sized teams. That’s exactly what we’re doing at OpSpring. We design custom AI workflows that: - Automate the repetitive tasks stealing your time - Connect the tools you already use in smarter ways - Put AI to work in a human-first way, streamlining your operations and empowering your team to focus on what matters We’re just wrapping up our first pilot projects, and we're partnering with more businesses ready to see results. If you know things could be smoother or more efficient, let's explore where AI can make the biggest difference. Drop me a DM or grab a time on our calendar here: https://lnkd.in/emtGrPai Let's make AI work for you. www.OpSpring.aiDalton DeLuca shared thisI’m excited to officially launch OpSpring — a return to my entrepreneurial roots after years in big tech. After nearly 8 years at Microsoft, I’ve been drawn back to the energy of building something from the ground up. This is the natural next step — a chance to combine that experience with my passion for creating tools that make work better, more human, and actually enjoyable. If you’re a small business feeling behind the curve on AI, let’s talk. We make AI practical and people-focused. That means: • Building custom solutions to automate hours a week of tedious, repetitive busywork • Connecting the tools you already use in faster, smarter ways • Explaining everything in plain English — no tech jargon required • Finding and fixing bottlenecks so you can focus on the work that truly matters Now, alongside my growth partner, Dalton DeLuca, we’re opening the door for more businesses ready to see real results from AI — in weeks, not months. If you run a business with 5–50 people and know things could be smoother, I’d love to hear your story and explore where AI could make the biggest difference. 📩 DM me or visit https://www.opspring.ai/
Dalton DeLuca commented on a post
4mo
Worth a read for more on where things are heading: https://www.goldmansachs.com/insights/articles/what-to-expect-from-ai-in-2026-personal-agents-mega-alliances
Dalton DeLuca commented on a post
2y
Ciao Scott Lucero! Spero che tutto vada bene per te. Mi mancano ancora un po' i giorni di Atlanta. Arrivederci!
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Dalton DeLuca liked thisDalton DeLuca liked thisClaude Code is generating me 40+ qualified leads per week. And they're actually booking meetings. Most people's AI outbound gets ignored. Because they're using AI the wrong way. I've been testing AI-driven outbound for 3 years. The breakthrough wasn't better prompts. It was cracking three things at once: A) A relevant offer B) Personalisation C) Deployed at scale & with volume This system runs 24/7. It researches prospects, writes openers, sends follow-ups, and books meetings on autopilot. I documented everything in this breakdown: - How to set up Claude to research prospects from LinkedIn + company websites automatically - The exact prompt structure that generates personalised openers (not generic templates) - How to identify trigger events that actually signal buying intent - The follow-up sequence that gets replies without feeling pushy - How to connect Claude to your CRM so everything updates on autopilot - The one metric that predicts which leads will actually book meetings It's the same system that's booked 100s of meetings for myself and clients. Comment "CLAUDE" + like this post and I'll send it over. ♻️ Repost for priority
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Dalton DeLuca liked thisDalton DeLuca liked thisHappy 3/21! Our team recognized World Down Syndrome Day (WDSD) for the fourth year yesterday! The date for WDSD was selected to signify the uniqueness of the triplication (trisomy) of the 21st chromosome that causes Down Syndrome. Did you know? - About 1 in every 700 babies in the U.S. is born with Down syndrome - Over 200,000 people are living with Down syndrome in the United States - Down syndrome occurs naturally—there is no known single cause - Blue and yellow are the colors for Down syndrome awareness - October is Down Syndrome Awareness Month - While Down syndrome can involve varying degrees of intellectual and physical disability, people with Down syndrome are living longer, healthier, and more fulfilling lives than ever before #WorldDownSyndromeDay Down Syndrome Association of Middle Tennessee (DSAMT)
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Dalton DeLuca liked thisHaslam College of Business at the University of Tennessee
Haslam College of Business at the University of Tennessee
Dalton DeLuca liked thisThe third annual Marketing and Sales Innovation Conference and Awards returns as the Southeast’s premier event at the intersection of industry and academia. April 8–9, marketing and sales professionals will come together to explore the future of the industry through keynotes, workshops and conversations with thought leaders. Join us to exchange ideas, gain fresh insights and build meaningful connections shaping what’s next in marketing and sales: https://lnkd.in/eTnCkGue -
Dalton DeLuca liked thisDalton DeLuca liked thisThe first time I tried to automate lead generation, I wasted three weeks building something that never sent a single email. I had the tools. I had the lists. I had the scripts. What I didn't have was a system. Back then, lead gen for Vertice was almost entirely manual. I was prospecting on LinkedIn, copy-pasting into spreadsheets, writing outreach by hand. It worked, sort of. But it didn't scale, and I was the bottleneck. The turning point was when I stopped thinking about AI as a writing tool and started thinking about it as a pipeline. Instead of asking AI to write me one cold email, I asked it to help me build a process: Who are we targeting and why. What signal tells us they're ready to hear from us. What message matches that signal. How do we follow up without being annoying. Once I had that framework, everything changed. We went from 10 outreach attempts a week to over 200, and the quality actually went up. The leads that convert aren't always the ones you reach first. They're the ones you reach at the right moment with the right message. AI didn't replace the thinking. It gave us the bandwidth to do more of it. Are you still doing lead gen manually, or have you started building it into a system?
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Dalton DeLuca liked thisDalton DeLuca liked thisOpenAI's COO said something this week that should matter to anyone building in the AI space: "We have not yet really seen AI penetrate enterprise business processes." I think about this constantly. We're out here doing discovery calls with companies that have real pain: insurance agencies re-keying data across 6 carriers, healthcare practices running intake on paper forms, contractors tracking mileage in Excel and manually quantifying at the end of the year. These businesses aren't waiting for Accenture. They've never heard of the Frontier Alliance. They just need one thing automated before their competitor does it first. That's the market that's being ignored while everyone argues about AGI timelines. The window to go build in it, before the big firms catch up, is right now!
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Dalton DeLuca liked thisDalton DeLuca liked thisAnthropic just published a study on ~10,000 AI conversations and found something counterintuitive. When people use AI to actually build things (code, apps, documents), they put MORE effort into directing it upfront but LESS effort into evaluating what comes back. They're more specific about what they want. But less likely to question the reasoning, check facts, or catch what's missing. It makes sense. If the code runs or the document looks clean, your brain moves on. You don't dig into whether the logic actually holds up. But this is backwards. The stuff you're building and shipping is exactly the stuff that deserves the most scrutiny, not the least. A few things that have changed how I work with AI: - I treat every first output as a rough draft, even when it looks finished. Especially when it looks finished. - I front-load instructions like "flag what you're uncertain about" and "push back if my assumptions are wrong." This completely changes the dynamic. Only 30% of users do this according to the research. When I'm building something, I force myself to ask "what's wrong with this" before I ask "how do I ship this." https://lnkd.in/gT_R87h8
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Dalton DeLuca liked thisDalton DeLuca liked thisThere are two AI conversations happening right now. - Conversation 1 is about trillion-parameter models, billion-dollar data centers, and which tech giant is "winning the AI race." - Conversation 2 is about whether your 6-person insurance agency can stop spending half the day re-entering the same client info into 8 different carrier portals. We're in Conversation 2. The biggest shift in AI this year isn't a new model, it's that practical, workflow-level automation is now accessible to businesses that don't have an engineering team or an enterprise budget. Small language models. AI agents that plug directly into your existing tools. Solutions scoped to your actual bottleneck, not a generic chatbot bolted onto your website. The gap between "AI is transforming everything" and "AI is transforming MY business" is closing fast. The businesses that close it first win. That's what we do at OpSpring. We find the workflow that's eating your time and build AI that handles it. No hype. Just hours back in your day.
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Dalton DeLuca liked thisDalton DeLuca liked thisExtreme reactions usually point to emotional reasoning rather than grounded analysis. Panic and hype both outsource thinking to feeling. Calm adoption requires understanding what actually changes and what does not. AI does not remove agency. It demands more of it from people willing to engage honestly. #AI #DecisionMaking #SignalVsNoise #Leadership #Perspective
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