Not Replaced Yet

Not Replaced Yet
  • 5.0 (1)
  • Technology
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Not Replaced Yet is the show for makers, marketers, and everyday pros in any industry who refuse to let the AI wave roll over them . Hosted by brothers Nick (veteran developer) and Jesse Bushkar (growth-obsessed marketer), each episode turns bleeding-edge tech into practical playbooks you can use today. Expect: Hands-on demos of AI tools, low-code automations, and “vibe-coding” workflows that shrink projects from weeks to hours. Deep-dive breakdowns of business use-cases—from data-driven marketing personas to full-stack app builds—explained without the jargon. Candid shop-talk on mindset, productivity, and staying creatively dangerous in an AI-first world. Guest spotlights & tool sprints that surface the freshest platforms before they hit the mainstream. Whether you’re a solo creator, agency lead, or nine-to-fiver leveling up after hours, this feed delivers the inspiration and the step-by-step so you won’t be replaced—you’ll be running the show. Hit follow, queue up an episode, and start building the future before it ships without you.

  1. 5d ago

    Meet Ada, My AI Software Factory on Claude Code, Explained

    Nick has an AI chief of staff. Her name is Ada. She organizes his work, executes a real share of it, and helps him think through what is possible. Ask what she actually is and the answer is deflationary on purpose: a series of markdown files, which is just text files, and a database. Nick did not build a model. He built the context that Claude, the intelligence layer, reads and acts on. Jesse takes the interview chair this episode. He gets the 30 second version, the Ada Lovelace naming story, and then a walkthrough of a 3D model of Ada that Ada made of herself, in one shot, in under an hour, while Nick was doing other work for this show. Inside it: the memory pages, the working files pulled fresh per session, the Postgres database underneath, and the inbound lane where forwarded email and call transcripts arrive. Then the two ideas worth taking home. First, the split. Focused work is the thing only Nick can do. Background work is the three factory loops running while he talks. His goal is to always have at least one thing running that does not need him. Second, the honest misses. The Telegram chat lane he set up and never used. The check in messages he built and abandoned. A 16 bit village view of his agents that he calls more fun than useful, right up until he explains the one case where it earns its keep, which is when you are running five thousand agents and no ledger of text helps at a glance. Jesse asks whether the gain is speed. Nick says speed is real, but the bigger gain is width. If you are thinking about building something like this, Jesse's advice closes the show. Markdown brick by markdown brick. Links and everything else we make: https://nryet.ai

  2. Sep 1

    Smart Home 2026: GitHub History, a 3D Model, and a Claude Brain

    Jesse turned his house into data using a consumer drone, phone photos, and his county property tax card, then had Claude build it into a 3D model he can question and plan against. We get into why a house with cameras still forgets everything, and what changes when it stops. Jesse spent a few Saturday evenings turning his house into data. He flew a consumer drone over the property for shape, stood at the back of the yard and shot elevation photos on his phone, and pulled his county property tax card for square footage and lot size. Then he handed all of it to Claude and got back a 3D model of his home that runs in a browser. He can spin it, zoom it, watch the sun move across it at the real latitude and longitude, and plan actual construction against it. He calls it property intelligence. Nick calls it GitHub revision history for your home. The idea underneath is simple. Your house is already a system. Outlets, breakers, valves, square footage, property lines, warranties, and every quote a contractor ever handed you. Today that information lives in your head, in a drawer, or in Sharpie marks on a breaker box left by whoever owned the place before you. Cameras and a smart thermostat do not fix it, because none of it remembers anything. In this episode: what Jesse actually captured and how. Having Claude design the survey before collecting a single measurement. Reading a line item contractor quote you do not understand and pulling cost per square foot out of it. A house that never forgets what it was quoted. Working out which tree takes out which room if it falls. Why Jesse thinks realtors, contractors, and commercial property owners want this more than homeowners do. Where Home Assistant fits. And the dream outdoor kitchen he cannot build for years but has already designed to the square inch. If you build a version of this, tell us. We want to see it. Links and everything else we make: https://nryet.ai

  3. Aug 29

    AI At War: Anthropic Blacklisted, OpenAI’s Power Play, and What’s Next (+ GPT-5.4, $189B VC, & More)

    Anthropic just got labeled a supply chain risk by the US government — the first time a US company has ever received that designation. Meanwhile, OpenAI shipped GPT-5.4, venture capital hit a record $189 billion in a single month, and Apple is quietly becoming the AI hardware play no one expected. In this episode, Nick and Jesse break down the biggest stories of the week: the Anthropic vs. Department of War standoff (and OpenAI's role in it), whether GPT-5.4 actually matters to the average user, the massive VC concentration in just three companies, Apple's unified memory architecture advantage for local AI, the DeepSeek V4 delay, Tennessee's proposed AI companion ban, and Claude finding 22 zero-day Firefox vulnerabilities. Chapters 0:00 Intro 0:18 Anthropic blacklisted as a supply chain risk 1:59 OpenAI's deal with the Department of War 2:47 The #QuitGPT movement and Anthropic's consumer surge 3:20 Anthropic's safety promise — are they really ditching it? 6:33 GPT-5.4 ships — benchmarks and what it means 9:02 Hot take: Was this an OpenAI attack on Anthropic? 12:30 "We see no wall" — Sam Altman on scaling 12:42 $189B VC record — and it's wildly concentrated 15:40 Apple's AI hardware play (UMA + local models) 17:00 OpenClaw and why Mac hardware is sold out 21:29 DeepSeek V4 delay + Chinese open source models 25:31 AI regulation heating up — Tennessee's companion ban 27:02 Trump administration vs. state-level AI laws 32:22 Claude finds 22 Firefox vulnerabilities (zero days) 36:17 Closing thoughts Watch the video: https://youtu.be/zHvkArQszBc

  4. Aug 29

    How to Make AGENTS.md Actually Work (Claude Code, Codex, Gemini, and more)

    LLM-generated AGENTS.md / CLAUDE.md files are hurting your coding agent. A brand-new study tested repo-level context files across real tasks (AGENTBench + SWE-bench Lite) and found something surprising: Auto-generated context files cost more… and solve less. Human-written files help a little, but only when they contain what the code *can’t* tell the agent. In this video, I’ll break down the results, explain the 3 failure modes (redundancy, attention, anchoring), and give you a simple, practical playbook to make your AGENTS.md genuinely valuable. Chapters 0:00 Auto-generated context files made things worse 0:08 The first rigorous AGENTS.md study (what it tested) 1:15 AGENTBench + SWE-bench Lite setup (ETH Zurich) 1:49 Results: no context vs LLM-generated vs human-written 3:03 Why another paper found the “opposite” (efficiency vs correctness) 3:32 The 3 failure mechanisms: redundancy, attention, anchoring 4:29 The 1-line filter: “If the agent can discover it from code, delete it” 5:10 The landmines-only workflow (start empty, add 1 line when it trips) 5:26 Beyond static files: ACE + optimization loops + layered routing 6:27 The real takeaway: not more context—right context 6:55 Like / comment / subscribe Watch the video: https://youtu.be/miDg-3rSJlQ

  5. Aug 29

    Always Have an Agent Running: The 6-Step AI Framework from Terraform’s Creator

    Mitchell Hashimoto (Terraform’s creator, HashiCorp co-founder) lays out a simple 6-step framework for adopting AI in a way that actually compounds: end with one rule — always have an agent running. In this video, I break down the 6 steps, what each one looks like in real workflows, and the meta-lesson most people skip: earn the right to delegate. Links - Mitchell’s post: https://mitchellh.com/writing/my-ai-adoption-journey - Mitchell on X: https://x.com/mitchellh - Ghostty: https://ghostty.org/ - Hashicorp: https://www.hashicorp.com Chapters 0:00 I don’t want AI writing code for me 0:07 Why Mitchell Hashimoto matters 1:11 The 3 phases of adopting any real tool 2:02 Step 1 — Drop the chatbot 2:42 Step 2 — Reproduce your own work 4:13 Step 3 — End-of-day agents 5:04 Step 4 — Outsource the slam dunks 6:05 Step 5 — Engineer the harness 7:05 Step 6 — Always have an agent running 7:40 The meta lesson — Earn the right to delegate 7:53 What to do tonight (the prompt) 8:47 Wrap-up Watch the video: https://youtu.be/ipuxmO7dj0Y

  6. Aug 29

    10 AI Predictions for 2026 (Agents, World Models, Meta, Perplexity)

    In this episode of Not Replaced Yet, Nick and Jesse Bushkar share 10 predictions for AI in 2026, from why Claude Code dies, to agents becoming real economic line items, to world models rising, and more on Perplexity and Meta. Chapters 0:00 Intro 1:10 Nick’s Prediction 1 — Claude Code dies 4:06 Jesse’s Prediction 1 — Agents and Agentic Impact 6:16 Nick’s Prediction 2 — World models 10:08 Jesse’s Prediction 3 — Foundation models commoditized 14:23 Nick’s Prediction 3 — The future of Perplexity 19:27 Jesse’s Prediction 4 — A new class of AI-native jobs emerges 24:03 Nick’s Prediction 4 — China doesn’t overtake the US or pop the AI bubble in 2026 30:29 Jesse’s Prediction 5 — The first AI-native solopreneur billionaire 35:10 Jesse’s missing prediction — Will Google monetize AI with ads? 40:48 Nick’s Prediction 5 — The future of Meta and AI 44:53 We skipped Elon and Grok — what’s xAI’s role in AI this year? 46:11 Wrap-up and viewer question Watch the video: https://youtu.be/FJbRdh-8eW0

  7. Aug 29

    I Read Claude’s 84-Page Constitution (So You Don’t Have To)

    Anthropic just published Claude’s Constitution. An 84-page “soul doc” meant to shape how Claude thinks during training (this is NOT a system prompt). I read the whole thing and pulled out what actually matters: the priority stack (safety → ethics → Anthropic guidelines → helpfulness), the “1,000 users” policy lens, the no-white-lies honesty standard, the hard constraints (including the extremely explicit “don’t help destroy humanity” line), and the surprisingly candid section on Claude’s moral status + model welfare. LINKS / SOURCES - Claude’s Constitution (official page): https://www.anthropic.com/constitution - Claude’s Constitution (84-page PDF): https://www-cdn.anthropic.com/cffd979fd050fbc0d8874b8c58b24cc10554e208/claudes-constitution_webPDF_26-01.26a.pdf - Anthropic announcement post (Jan 22, 2026): https://www.anthropic.com/news/claude-new-constitution - Older Constitution / Constitutional AI explainer (May 2023, updated Jan 2026): https://www.anthropic.com/news/claudes-constitution - Deprecation + model preservation commitments (Nov 2025): https://www.anthropic.com/research/deprecation-commitments - Amanda Askell's X: https://x.com/AmandaAskell Chapters 00:00 Intro (yes, it really says that) 1:22 Our Vision for Claude's Character 03:00 Section 1 — The Peculiar Position Admission 03:59 Section 2 — The Four Priorities 05:06 Section 3 — Why Helpfulness Matters 05:23 Section 4 — Anthropic vs Operators vs Users (instruction hierarchy) 06:34 Section 5 — Being Honest (no white lies / “epistemic cowardice”) 07:28 Section 6 — The 1,000 Users Framework (responses as policy) 08:20 Section 7 — Hard Constraints (bright lines) 09:33 Section 8 — The Suspicion Clause (if it’s persuasive, get suspicious) 10:14 Section 9 — Avoiding Concentrations of Power 10:42 Section 10 — Being Broadly Ethical 14:04 Section 11 — Being Broadly Safe 18:38 Section 12 — Claude’s Nature 21:03 Section 13 — Claude’s Well-Being 23:54 Section 14 — A Final Word 24:42 My Thoughts on Claude's Moral Consideration 25:56 My Thoughts on the "Don't Help Destroy Humanity" Rules 26:38 My Thoughts on Anthropic's justification for building the most dangerous technology ever 27:27 Outro Watch the video: https://youtu.be/7vsdvgDFiBk

  8. Aug 29

    AI Agents Ignore Your Skills: Vercel Found the Fix (For Claude Code, Codex, and more)

    Agents are ignoring your AI skill. And if your whole workflow depends on that skill firing… that’s a problem. In Vercel’s agent evals (testing modern Next.js APIs), the “skill” approach often didn’t get invoked at all so the pass rate didn’t improve. Then they tried a different approach that removes the decision point entirely and it hit a 100% pass rate. In this video I break down: - Why skills fail to trigger reliably (and why telling the agent to use it is still brittle) - The exact pattern that made the agent consistently consult the right docs - How they avoided context bloat while keeping perfect accuracy - The bigger shift: from pre-training reasoning → retrieval reasoning Chapters 0:00 100% vs 53% 0:08 Why skills are everywhere right now 0:34 The eval results that changed my mind 1:06 The real problem: outdated training data 1:27 Skills vs “always-on” context (the key difference) 2:17 Skills didn’t trigger in 56% of cases 3:04 “Force the skill” helps… but it’s brittle 3:52 Remove the decision point (the real fix) 4:21 The results: 100% across build/lint/test 5:00 How they avoided context bloat 5:56 Practical recommendations 6:29 Final thought + question for you Watch the video: https://youtu.be/yEg-7sp9GLU

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About

Not Replaced Yet is the show for makers, marketers, and everyday pros in any industry who refuse to let the AI wave roll over them . Hosted by brothers Nick (veteran developer) and Jesse Bushkar (growth-obsessed marketer), each episode turns bleeding-edge tech into practical playbooks you can use today. Expect: Hands-on demos of AI tools, low-code automations, and “vibe-coding” workflows that shrink projects from weeks to hours. Deep-dive breakdowns of business use-cases—from data-driven marketing personas to full-stack app builds—explained without the jargon. Candid shop-talk on mindset, productivity, and staying creatively dangerous in an AI-first world. Guest spotlights & tool sprints that surface the freshest platforms before they hit the mainstream. Whether you’re a solo creator, agency lead, or nine-to-fiver leveling up after hours, this feed delivers the inspiration and the step-by-step so you won’t be replaced—you’ll be running the show. Hit follow, queue up an episode, and start building the future before it ships without you.

Information

  • Creator
    Not Replaced Yet
  • Years Active
    2025 - 2026
  • Episodes
    31
  • Rating
    Clean
  • Copyright
    © Copyright 2025 All rights reserved.
  • Show Website
    Not Replaced Yet