Adam Thede
Nashville, Tennessee, United States
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http://www.thedetech.com
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https://officeofadamthede.com/
About
Accomplished VP of Engineering with extensive experience in full-stack development…
Activity
901 followers
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Adam Thede shared thisNate B Jones has been making an argument I keep returning to: in the AI era, comprehension matters more than generation. The old proof of work (effort, time, credentials) is breaking down because generation itself is essentially free now. What still matters is whether you can explain what you built, why you built it that way, what's going to break, and what you decided not to build. I've been quietly building toward the same thesis, on my own terms. For the past month I've been ingesting every AI coding session I run (Claude Code, Gemini CLI, Cursor, Codex) into a local pipeline I call the Librarian. It normalizes raw chat logs into a structured 5W schema (Who, What, When, Where, Why) and extracts: · decisions made — the architectural pivots that survived · recommendations issued · technologies discussed · open questions left dangling April 2026 numbers: · 466 sessions · 55,224 turns · 1,772 decisions extracted · 4,447 topics tracked · 4 AI tools Anthropic announced "dreaming" for Managed Agents this week: agents that schedule reflection time between sessions to refine their own memory. Same direction, vendor-side. The version of this where you own the memory, not them, is the version that compounds for a solo builder. Both versions of the idea matter. I wrote up the data and what I found, including an interactive dashboard with the full month: friction patterns, decision density per project, the technology gravity wells (Git tops the list at 48.7% of sessions), and the open-questions atlas where AI consistently can't close the loop. If Nate's argument that we need to make our work visible and our comprehension legible resonates with you, this is one shape that can take. https://lnkd.in/eRnpaQFh
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Adam Thede shared thisSame prompt. Same dataset. Four frontier models. Only one asked for more data. A $40 Adafruit Clue on my desk has been logging temperature, humidity, pressure, light, sound, and color every 30 seconds for over a year. 425,000 readings. I gave that year of data to Gemini, Codex with GPT-5.4, Codex with GPT-5.5, and Claude Opus 4.7. Same prompt to each: build me a single self-contained HTML dashboard. Four very different answers. • Gemini - pretty template, generic findings. • GPT-5.4 - editorial headlines, real findings, real point of view. • GPT-5.5 - strongest typography of the bunch. • Claude Opus 4.7 - did one thing nobody else did. Before charting anything, it paused and asked: "would you let me pull a year of outdoor weather for your zip code so I can compare your indoor readings against actual storm fronts?" It enriched the dataset before synthesizing it. That single behavior - enrich before you synthesize - is the whole punchline. The other three didn't do it. The model that did made the dashboard that's actually interesting. The framing I keep coming back to: Capture · Enrich · Synthesize. Capture has been a solved problem on this desk for a year. Synthesis just got cheap. Right now, the gap between "competent template" and "actually interesting" is the enrich step - and that's where models distinguish themselves. Most of us are sitting on personal data - health logs, location history, sensor archives, screen-time exports - that we've never done anything with. The barrier was never the data. It was synthesis. That barrier just dropped. All four dashboards are embedded live in the post (not screenshots - scroll, hover, open fullscreen). The prompt is published verbatim at the bottom. Steal it. https://lnkd.in/e-e-wp_b What's the personal dataset you've been meaning to do something with?
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Adam Thede shared thisApple just told us the race they're going to run. Nate B. Jones broke down the Tim Cook → John Ternus succession yesterday and I haven't been able to stop thinking about it. Two hardware engineers at the top of Apple, at the exact moment the rest of the industry is burning investor capital trying to make consumer cloud AI economically work. That's not a retreat. That's a different race. Watch it: https://lnkd.in/eQJF_wen I agree with every piece of his thesis — and not just because the argument is well-built. Because this has been my lived reality for months. My primary inference machine is a four-year-old M1 Max Mac Studio with 64GB of unified memory. It has been running Qwen 3.6 35B A3B MoE through LM Studio practically nonstop, transcribing my father's handwritten letters into my personal knowledge vault. About 45–50 seconds per page of cursive. The plan is to keep going through more generations as the project grows. No cloud. No per-token meter. No third party touching the most personal documents I own. Meanwhile, Lens - the desktop journaling app I've been building under the Tractor & Silo brand - has been running its daily synthesis entirely on-device with Gemma 4 for weeks now. The end-of-day summaries that turn screen activity into a real journal entry never see a cloud GPU. They never need to. I wrote three pieces last week documenting the transcription work, in case it's useful to anyone else thinking about this: → What family archives are for, now that the AI can read them: https://lnkd.in/eA6MRBj3 → Running real models locally on a Mac Studio that isn't new anymore: https://lnkd.in/eYvu3_BB → Why a general-purpose MoE model beat every dedicated vision model on cursive: https://lnkd.in/e7stH4ti What's making me certain this is real isn't just my own work. In the last two weeks alone: • A software engineer I respect told me he's actively migrating workflows off the cloud onto a local box. • A CTO told me he's counting the days to the M5 Mac mini announcement so he can buy one. • Multiple tech leaders mentioned, with real envy, peers who've gotten their hands on 256GB or 512GB Apple Silicon machines — describing it as "infinite tokens." That's not a vibe. That's a market forming. I still use cloud AI heavily — frontier models living in the cloud are still the best tool for frontier work. But the opportunity surface for local inference is going to balloon, and the people who quietly notice that early are going to build a different kind of product than the people who don't. Several of the products I'm building are being built for that world. Privacy-first by structural necessity, not as a marketing line - because the data we help you keep is the data that should never leave your house.A general-purpose MoE multimodal beat every dedicated vision model on my father's handwritingA general-purpose MoE multimodal beat every dedicated vision model on my father's handwriting
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Adam Thede shared thisI had the pleasure of sharing some of my AI-augmented software development workflows at a local AI Tinkerers meetup. Thanks, John Berryman for having me!Adam Thede shared thisIn the last Nashville AI Tinkerers we focused on interesting developments related to Software Development and the Age of AI. It was a great turnout (~40 people?) and lots of interesting demos. Check them out for yourself! 5:42 - ServiceNow to Terraform via MCP (Sharath Thirunagaru) 18:18 - Bob’s Cabins: Cross-Tool Agent Memory (John Rembold) 33:43 - Building an LLM Harness (John Hall) 46:29 - Claude: iOS Workflow Automation (Christopher Cotton) 57:40 - Lean AI SDLC Workflow (Adam Thede) 1:09:29 - Minimum Viable Memory Beads (John Inniger) https://lnkd.in/eYC2NrBC Thanks especially to Sharath Thirunagaru (Qyoob AI) and Nashville Entrepreneur Center for sponsoring!Nashville AI Tinkerers – Software Development in the Age of AI – March 25, 2026Nashville AI Tinkerers – Software Development in the Age of AI – March 25, 2026
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Adam Thede reposted thisAdam Thede reposted thisPossip Role Alert! Senior Product Engineer. We're looking for a person with: - a great product mind, - strong technical skills, - the ability to build bridges between customer needs and ideas, sales, and technology, - a big brain - a business + mission orientation. https://lnkd.in/exFQ5yjY We're privileged to have always had amazing people, a great culture, and a BIG impact. It certainly is not always easy. But we look for teammates who can, through the ups and downs, count it all joy.
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Adam Thede shared thisLil peek at where I was and what I was doing this past week. An amazing experience and unforgettable time. 🙌Adam Thede shared thisJust wrapping 3 phenomenal days hosting our first ever Google Accelerator Alumni Summit at the LA office. Nearly 100 founders from startups across North America flew in to join for amazing Google AI product feedback roundtables, VC panels, keynotes, deep connection time… and even a sunset cruise and some group karaoke (?!) 🎤 Impossible to list all the amazing people and founders here but my love and appreciation for all who attended and made it very special and impactful. Our team is committed to making startups like these an absolute success in business and in life. Thanks to our team for making it possible — Ashley Francisco, Francisco Solsona, Iran Karimian, Paige Bailey, Alice Kawka, Noura Daadaa, Laura Armstrong Here’s to a bright future together and many more to come 🚀 P.S. if you were there comment yourself in!
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Adam Thede reposted thisAdam Thede reposted thisBoo! It’s Halloween season. Is AI scary? Adam Thede put on his parent hat and Possip Tech Lead hat to share his insights on AI. https://hubs.la/Q02VzbML0
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Adam Thede reposted thisAdam Thede reposted thisWe are so honored to receive the Market Mover award for Technology! 🏆❤️ Thank you NEXT Awards for this honor! Nashville Entrepreneur Center #NashvilleNEXTAwards #NEXTAwards #Possip #EdTech #Nashville #NEC
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Adam Thede shared thisAre you a senior software engineer with experience in Ruby on Rails? We're looking for a talented and motivated individual to join our team! Check out our job posting for more details.Adam Thede shared thisKnow great folks for these roles? Learn more here: https://hubs.la/Q01K8F_P0 #WorkWithUs #Possip #EdTech
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Adam Thede reacted on thisA sneak peek of AT Trekker's Map View when tracking your trek. https://lnkd.in/gqDdMjB9Adam Thede reacted on thisA sneak peek of AT Trekker's Map View when tracking your trek (sped up!): ☑ This animation shows each satellite ping as a frame ☑ Each ping marks a real location, including the NERO, ZERO, and overnight stops ☑ Additional markers show campsites, shelters, landmarks, and parking areas ☑ Clock keeps time along the bottom ☑ Daylight bar shifts color from dawn to noon to night, holding steady through stops Note: All data here is fake. This entire hike, every ping, is generated from AT Trekker's own forecasting model. The same engine that predicts where a hiker will be also generated this demo hike. We never share a real hiker's location data. Up next: the forecast layer itself -- where hikers will be, not just where they've been.
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Adam Thede reacted on thisThis is one of the most exciting things I’ve been a part of building! Check it out!Adam Thede reacted on thisAccount opening is a critical driver of growth, but compliance and manual reviews often slow the process down. Today, we are proud to introduce AI DecisionAssist™: a responsible, agentic workflow capability designed specifically to help community banks and credit unions safely automate and accelerate the application review process. By analyzing identity, risk, and compliance data against an institution’s unique risk appetite, AI DecisionAssist reduces manual review times from hours to minutes, while providing fully auditable and explainable recommendations. Learn how we're bringing practical, defensible AI to banking workflows: https://lnkd.in/gz5DkSgD
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Adam Thede reacted on thisAdam Thede reacted on thisToday was a pretty normal day: five meetings with five different client companies with very different company size and stages, engineering team compositions, and business needs. It's crazy and I love it. I feel like I'm speed-running learning while advising these companies: it's always mutually beneficial. But, holy guacamole, for someone who purports to dislike meetings (hat tip to Jason Moore) I sure picked an odd way to pay the bills.
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Adam Thede liked thisAdam Thede liked thisThe GTH Signal Engine has officially launched--A system that automates portions of the technical analysis I use when analyzing stocks for the Weekly Blueprint. V1.0 is now in the hands of Premier members, and will receive refinements based on real-world use and feedback. To make it easier for members to try the new system, I'm offering a launch discount. The goal isn't just to grow membership—it's to get the Signal Engine into the hands of working professionals as well as active traders, who can help shape the feature list. This week's Blueprint is also published, featuring market outlook, technical analysis, and bullish/bearish stock selections. As always, thank you to everyone who has supported GTH Trading. It's been exciting to watch this grow. Link in the comments. #investing #trading #stockmarket #options #software #golang #fintech
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Adam Thede liked thisI promise not to repost all of these 😄 But as I'm stumbling through marketing, I wanted to share for reach. 501see is all about the data, and I'm unearthing interesting, actionable information for #nonprofits a couple of times a week. For a anyone curious about the process: - Codex and I brainstorm the ideas, usually questions I'm curious about - An agent pulls the data and some (usually very rough) copy - I polish and usually rewrite about 80% of it - And we collaborate to make the infographic (HTML rendered to PNG) Follow there if you're curious about #giving trends, #grant insights, and other fascinating tidbits in IRS filings.Adam Thede liked thisPrivate foundation grants to Tennessee nonprofits rose from $215M in 2019 to $843M in 2024 - nearly 4x. Grant count also more than doubled, from 10,148 to 22,480. That doesn't mean every nonprofit will benefit, but it does suggest Tennessee grant seekers have a larger private foundation landscape to access. 501see helps surface aligned matches so both nonprofits and foundations can have the impact they're looking for.
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Adam Thede liked thisAdam Thede liked thisI'm setting up a GX10 (DGX Spark). 128GB of unified memory, enough to run local models up to ~200B parameters. That's a bit bigger than GPT-3, but today's models that size are far more capable than the original ChatGPT. Will this be my go-to for all AI use? Probably not. It's slower than cloud-hosted frontier models. But smaller or local models are great for experimentation and time-insensitive batch jobs. I've been asserting that a compute crunch is coming, and this is me beginning to put my money where my mouth is and getting serious about local inference. Smaller open models will continue improving. They're already sufficient for many tasks. These models will become a component of automation for a lot of organizations. Owning inference hardware is making more and more sense for serious AI adopters. The API costs for accessing frontier models will go up as demand exceeds compute capacity. Hardware prices will go up, too. Virtually no one knows what any of this costs a year from now, or what ROI their organization will see from generative AI. I'd rather keep experimenting than guessing and waiting.
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Nashville Software School
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In-class open source project where I worked with a couple of other students to implement a user's ability to create posts, save drafts and attach images to posts.
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