Episode 25: Stop Starting From Scratch with AI

A useful AI chat is one thing. Having a routine that knows how you work is another. Justin and Kellan walk through how context, skills, schedules, loops, and human judgment fit together, using their own daily planning routines as the example.

The Drip:

• Microsoft Copilot's latest agent features and the growing overlap between Copilot, Claude, and ChatGPT.
• OpenAI's dots and the move toward always-on agents.
• Why Justin keeps durable context outside individual tools, and what happens when a memory from one task applies everywhere.

Inside The Bottle:

• Start with work worth repeating: the routine stays recognizable even when each day's inputs change.
• Bring in the context the task needs, through connectors or the information you're comfortable supplying.
• Turn the way you work into a skill, then improve it through actual use.
• Use a schedule to have the preparation waiting when you sit down.
• Two kinds of loops: check for changes, or keep working toward a defined result.
• Decide where human judgment belongs. A routine status update and feedback on a client's proposal call for different boundaries.

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

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Episode 24: Your AI Opinion Needs Experience

How much of your opinion about AI comes from using it? Recording together in St. Paul, Justin and Kellan compare the habits they’ve changed through hands-on work: where they give agents more room, where they stay methodical, and what still needs their own judgment.

The Drip:

• Ethan Mollick’s “The Overhang” and the gap between AI capability and everyday use.
• Why a successful demo and a dependable business process are different things.
• Building an informed opinion through actual work, not just headlines.

Inside The Bottle:

• A reversal in approach: more room for agents when building, more deliberate research when developing strategy.
• Asking for competing points of view before deciding what you think.
• Research blind spots—and the value of reading beyond an AI-generated answer.
• Why growing confidence in AI does not remove responsibility for checking its work.

Mentioned in the conversation:

• The Overhang — Ethan Mollick
• AI Pathfinder — answer 10 questions about your business to request a free, human-prepared Pathfinder Brief on where to focus and what to do first.

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

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Episode 23: AI for the Overlooked Customer

Our Guest: Justin Vandehey / Thread

Some customers never had a dedicated team to help them get software working. Justin Vandehey, co-founder of Thread, joins Justin Mannhardt and Kellan Danielson to discuss agents that fill that gap, and a broader question about who gets the benefits and protection AI can offer.

The Drip:

• How Vandehey uses AI for sales follow-up and shared intelligence across a distributed founding team.
• OpenClaw, AI music, and changing expectations about human and AI work.
• The hosts’ debate about frontier-model risk, accountability, and the gap between chat and agent experiences.

Inside The Bottle:

• Why customers keep explaining their goals after the sale is already closed.
• Proactive onboarding and activation versus reactive customer support.
• Thread’s work with Customer.io and its focus on helping small businesses start accepting payments.
• “There just weren’t people”: serving customers who never had dedicated implementation help.
• Years of useful work with today’s AI capabilities, even as frontier risks remain unsettled.
• Why smaller businesses and their suppliers face different questions about access to AI protection.

Related resource: Choosing where to start in your own business? AI Pathfinder offers a free personal Brief from Tiny Bottle AI’s co-founders after ten questions about your business.

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

Episode 22: The AI Trust Bucket

If someone produces better work with AI, how do you know they're getting better at their job? Justin and Kellan talk about trust, accountability, and what it takes to help people use AI well. Along the way: a confident recommendation that needed another question, a camp agent named George, and knowing when ordinary process improvement is enough.

The Drip:

• The OpenAI research discussed this week: quality output, reasoning, and the question of whether people are building expertise.
• The Anthropic coding study and what people could explain after completing the task.

Inside The Bottle:

• A full trust bucket still needs boundaries.
• Why a promising demo needs to survive a typical month's work.
• Getting the leadership team aligned before choosing another tool.
• Meeting people where they are: three useful jobs for a camp agent.
• Keeping learning and accountability in the work, including the questions a manager will ask.

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

Episode 21: Efficiency Isn't a Strategy

AI is creating real efficiency inside companies, but efficiency does not tell anyone what to do next. Justin and Kellan talk through the gap between saving time and creating value, why workforce decisions need a longer view, and how strategy gives governance and experimentation somewhere useful to aim.

The Drip:

• A BCG finding on frontline AI users saving roughly eight hours a week—often with little guidance for how to use the time
• Gartner reporting discussed in the episode: headcount reduction showed no clear correlation with better AI ROI
• Algorithmic pricing and the uncomfortable choices companies can make when optimization becomes the strategy

Inside The Bottle:

• Why AI-created efficiency is capacity, not automatically a better business result
• How automating entry-level work can weaken the future talent pipeline
• Why a compelling vision should come before policies, controls, and guardrails
• The two jobs of governance: mitigate risk and create clarity for good work
• The unresolved leadership question: who benefits from the eight hours AI gives back?

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

Episode 20: AI Is for Dummies?

Pete Halupka joins Justin and Kellan to talk about moving from reflexive AI skepticism to informed curiosity. They work through practical sales use cases, human quality gates, how companies discover an AI strategy, and the energy infrastructure beneath every prompt.

The Drip:

• AI activity is skyrocketing while public sentiment is getting worse
• Data-center demand is reshaping the conversation around the grid, solar, and battery assets
• Better model and infrastructure efficiency matter as much as adding more capacity

Inside The Bottle:

• The “AI is for dummies” banner that pushed Pete to form an opinion through use
• HubSpot enrichment and an ElevenLabs cold-call coach as practical sales tools
• Toyota's human quality gates as a model for responsible automation
• Why an AI strategy should be discovered inside existing business priorities
• Preserving trust, authenticity, and real relationships in AI-assisted sales
• Pete's view from renewable energy and the data-center buildout

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

Episode Description

Episode 19: The AI Activity Trap

Justin and Kellan start with Gemini moving into Chrome, then use a simple flight-booking example to ask the harder question: when does AI activity actually make a workflow better? They work through the gap between access and outcomes, why slower adoption can be smarter, and how strategy, ownership, and human judgment keep capable tools pointed at useful work.

The Drip:

• Gemini Spark can browse Chrome using a person's existing accounts and logged-in context.
• Distribution inside a tool people already use may matter more than another standalone AI destination.
• Being able to hand off a task such as booking a flight does not automatically make the experience better.

Inside The Bottle:

• Seats, prompts, tokens, and visible activity do not prove that a workflow or its outcome improved.
• Small, incremental deployments make it easier to discover missing context, rules, exceptions, and review checkpoints.
• A useful AI strategy clarifies what the company is trying to do, what it will not do, and who owns the result.
• The best automation boundary often appears where repetitive steps end and human judgment begins.
• The practical question is not only whether AI can do the work, but what becomes different when it does.

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

Episode 18: The Fizz with Special Guest Christine Sheller: Creative Work in the Age of AI

Justin and Kellan sit down with design leader and AI enablement consultant Christine Sheller to talk about what actually changes when creative teams can build at the speed of an idea. They get into taste, context, the frustrating last mile, and why more output does not automatically mean better work.

The Drip:

• Figma Make turns a workshop synthesis into a clickable prototype in about an hour.
• Image generation is getting better at the first draft, while refinement still takes work.
• As tools become widely available, creative teams need a real seat in the conversation about how they are used.

Inside The Bottle:

• AI can get an idea to 80% quickly; the last 20% is where judgment and craft show up.
• Design fundamentals, domain context, and experience still change the quality of the outcome.
• “AI slop” is often a brand-context problem, not simply a tool-use problem.
• Fast creation creates a new change-management problem: people cannot consume new work at the same speed.
• Collaboration and shared context matter more as everyone builds their own work products.

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

02:26 Navigating AI in the Workplace

03:30 The Role of AI as a Thought Partner

06:24 The Dissonance of AI Expectations

08:38 The Future of AI and Human Creativity

18:37 The Value Exchange in AI Data Usage

20:09 Navigating AI in the Workplace

21:57 The Challenge of Institutional Knowledge

26:32 The Chaos of AI Outputs

29:59 Balancing Human and AI Contributions

36:34 From Ideas to Implementation in AI

39:32 Trust and Adoption in AI Solutions

Episode 17: Why Your AI Always Picks 46

What happens when everybody asks AI for advice and gets some version of the same answer? Justin and Kellan look at the growing trust gap around workplace AI, the explosion of artifacts and apps inside teams, and why adoption still depends on human judgment.

The Drip:

• Gallup's Gen Z AI-at-work numbers: excitement fell while anger climbed
• The gap between the workplace mandate to "figure out AI" and what people actually experience
• Why access to capable tools changes how believable the broader AI narrative feels

Inside The Bottle:

• Why a model asked for a number between zero and one hundred keeps landing on 46
• The "AI slop loop" and what happens when training data starts feeding on AI-generated work
• How personal context files and individualized agent behavior create institutional-knowledge chaos
• Why more apps, documents, and tokens consumed do not equal useful adoption
• A crawl-walk-run path from chat to harness to API, with humans kept in the places that require judgment

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

02:38 The Ethics of AI in Decision Making

05:39 Accountability in AI-Driven Decisions

06:02 Navigating AI Limitations and Human Judgment

10:49 The Role of AI in Content Creation

14:10 Authenticity and Value in AI-Generated Content

17:40 Exploring AI's Decision-Making Capabilities

18:48 Daily AI Routines and Their Impact

20:11 The Importance of Human Decisions in AI

21:45 Understanding AI's Contextual Limitations

22:48 Navigating AI's Memory and Contextual Challenges

22:48 The Role of AI in Accountability and Truth

24:26 Cultural Implications of AI in the Workplace

25:11 Ethics and Human Touch in AI Interactions

27:24 AI as a Tool for Knowledge and Understanding

28:51 Maintaining Agency in an AI-Driven World

Episode 16: Eight Human Decisions a Day

Are we handing too much of our thinking to AI? Justin and Kellan take on the week's big question, from Meta's lawsuit over AI-assisted layoff rankings to the boundaries they draw in their own daily work, and get specific about what's worth handing off and what should stay stubbornly human.

The Drip:

• Meta sued by former employees over AI-assisted layoff decisions, and why the fight is about accountability, not capability
• The "are we offloading our thinking?" essays making the rounds, and where AI-first tips into AI-only
• Companies using AI avatars for first-round phone screens (hard pass)

Inside The Bottle:

• The boundary question: what should AI think about and decide, and what should you?
• Why "I can't believe Claude did that" is really a story about what you fed it
• Justin's grounding rule: confirm current state first, then decide what happens next
• Kellan's daily assistant that counts human vs. autonomous decisions, and the eight-a-day rule
• Constraining the blast radius: how bad is it if this thing makes a mistake?
• Keeping your voice: the 15-minute writing rule and AI cleanup that doesn't change your words

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

Episode 15: The Coworker Craze

OpenAI, Meta, Google, and Anthropic all shipped their version of an "AI coworker" in the same week. Justin and Kellan sort out what's actually new, what's just a new noun, and how they actually split their own work across chat, code, and everything in between.

The Drip:

• OpenAI releases ChatGPT Work — and the app rollout that has everyone confused
• Microsoft standardizes Copilot on GPT 5.6
• Meta ships Spark for agent orchestration; Gemini launches new features
• Why "agentic AI for business people" still has no obvious home

Inside The Bottle:

• Kellan's hot take: get rid of the tabs — one surface, let the model route the work
• Cowork and Claude Code are fundamentally the same thing; one is just more gated
• Justin's rule for picking a tool: does this thing have a runtime, or does it need shared context?
• Chat, plan, build — the mental model that actually holds up
• The subscription hack: same capabilities, roughly 2x the tokens
• The two things worth staying on top of: model progress, and the software around the models
• "The model is the person. The tool is how you choose to talk to them."

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

01:16 Fable Five and AI News

03:07 Comparing Fable and Opus

04:20 The Evolution of AI Intelligence

04:48 Practical Applications and Experiences

06:29 Managing AI Memories and Workflows

08:48 Optimizing AI Usage and Budgeting

11:00 Understanding AI Model Choices and Effort Levels

11:20 Introduction to Pathfinder

13:57 The Inspiration Behind Pathfinder

14:21 Identifying Focus and Alignment Problems

15:22 Demonstrating Pathfinder's Features

16:39 The Brainstorming Process

17:25 Focusing Ideas for Implementation

18:49 Evaluating Ideas and Avoiding Pitfalls

22:17 Building with Purpose: The Importance of Focus

24:17 Creating a Structured Build Plan

26:34 Establishing a Roadmap for Success

30:01 Final Thoughts and Team Collaboration

Episode 14: You Don't Have an AI Problem

Pathfinder is real, it's live, and Justin and Kellan finally take you on the full tour: why they built it, how the four-step method works, and what it looks like to go from "we should do something with AI" to a project you're actually building. But first: Fable 5 leaves the Anthropic subscription, and what that means for how practitioners should stack their models.

The Drip:

• Fable 5 leaves Anthropic subscriptions: the July 7 deadline got a last-minute extension to July 12
• Kellan's setup: downgrade the plan, add usage credits, and run Fable as the planner and reviewer while cheaper models implement
• Memories have gotten out of control, and it's time to ask Claude for a full memory audit
• Effort levels: why medium or high beats extra-high and ultracode for most real work

Inside The Bottle:

• Pathfinder is live and free for individuals at pathfinder.tinybottleai.com
• The backstory: you don't have an AI problem, you probably have a focus problem
• The ideas brainstorm: the AI interviews you. Fifteen minutes gets you six to ten real ideas, no blank page
• Focusing an idea into a Brief: the real problem, what solving it means, and the right solution type (automation, assistant, or agentic)
• The Build Plan: the smallest first version, handed off to Claude Code, Codex, or ChatGPT via copy, MCP, or CLI
• Roadmaps and checkpoints: the commitment system that keeps you moving after the excitement wears off
• The team plan: idea synthesis and prioritization across your whole team, with Justin and Kellan involved

Want to find your best AI project? Pathfinder is free for individuals. Sign up at pathfinder.tinybottleai.com and see what it turns up. If you need a hand, support goes straight to Justin and Kellan.

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

02:10 The Fable Saga: Government Involvement and Model Quality

04:10 Inequity in AI Access: The Haves and Have Nots

07:57 Market Dynamics: Pricing Models and Consumer Impact

11:19 Predictions for Fable and Future AI Access

12:22 The Reckoning: Market Forces and Consumer Power

14:31 The Importance of Company Culture and Longevity

16:02 Navigating the Final 20% of Product Development

17:44 Challenges in Product Vision and Execution

20:04 Understanding the 15% and 5% of Development

21:00 The Role of De-scoping in Final Stages

21:18 Human Judgment vs. AI Capabilities

25:07 Contextual Judgment in AI Development

27:40 Cleaning Up Contextual Clutter

29:19 Balancing Velocity and Quality in Development

33:26 Trusting AI Models and Their Limitations

35:34 The Role of Human Testing in Software Development

Justin and Kellan are fresh out of the "Claude hole" after shipping the final 20% of Pathfinder — and they get honest about what that last stretch actually takes. They also dig into the Fable Five saga: the flagship model moving to token pricing, and the widening gap between the people who get the best AI tools and the people who don't.

The Drip:

• Fable Five leaves the Anthropic subscription — every call now bills by the token
• The full saga: a mid-workshop launch, a government block, and a guarded comeback
• What it would actually cost to run Fable at a real workload (~$6–7k a month)
• The "haves and have-nots" problem: the best tools becoming exclusive to deep pockets
• The perception gap between people using Claude Code and people handed Copilot

Inside The Bottle:

• Why the final stretch is really three buckets — 80%, 15%, and 5% — not 80/20
• De-scoping as the hardest, most underrated part of shipping
• Context debt: what breaks when you aggressively cut scope
• Where AI is great (execution) and where it struggles (judgment about what matters)
• "Claude crumbs," 171 memory files, and the trick for cleaning them up
• Why discipline beats volume, and why trust-but-verify is non-negotiable

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

01:55 Unpacking the Fable Five Experience

03:16 Political Implications and AI Development

05:36 Comparative Analysis of Fable and Opus Models

08:09 User Experience and Model Selection

08:25 Cost Considerations in AI Usage

10:46 Conclusion and Future of AI Models

15:54 Exploring New AI Workflows

18:43 Understanding Loops and Goals in AI

21:01 The Power of Workflows in AI Development

23:55 Pros and Cons of AI Autonomy

27:10 Navigating AI's Limitations and Challenges

31:03 Building Trust in AI Tools

33:56 Innovative vs. Maintenance Tasks in AI

Episode 12: Loops, Goals, and Token Bonfires

Justin and Kellan are back from a stretch of client workshops to break down the strangest model launch yet — Fable Five, which shipped and got pulled inside of three days — and what it says about how you actually choose a model. Then they get into the vocabulary everyone's suddenly using: loops, goals, and workflows, and when each one is worth it.

The Drip:

• Fable Five ships, gets jailbroken in a government demo, and is pulled three days later
• The irony of the pullback landing right after Dario's case for slowing AI down
• What three days with the model actually felt like — faster, fewer mistakes, less fake agreement

Inside The Bottle:

• Model choice as a binary: just using AI vs. building agentic AI into software
• Why unit cost (price per token) matters less than the cost to achieve the objective
• A plain-English glossary: loops, goals, workflows, ultra plan, ultra code
• When workflows earn their keep — and when loops turn into a token bonfire
• Knowing whether you're in maintenance mode or invention mode before you automate

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

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02:30 The Role of Academia in AI Education

02:45 AI's Impact on Job Markets

03:52 Navigating AI in Research and Critical Thinking

05:05 The Future of Work and AI

07:45 Leadership and AI's Economic Implications

09:31 The Need for Clear Narratives on AI

11:28 Advice for Navigating the AI Landscape

19:17 Navigating the Early Days of Entrepreneurship

20:52 Finding Your Own Path and Work-Life Balance

23:06 The Power of Networking and Client Relationships

25:41 Embracing the Journey of Entrepreneurship

Eric Schmidt got booed at a commencement speech. DuckDuckGo is gaining traction because people are tired of Google's AI search results. Justin and Kellan unpack why the public narrative around AI isn't landing — especially for the people whose careers are most exposed to it.

The Drip:

• Eric Schmidt booed giving a commencement speech telling graduates that embracing AI is the key to their future
• DuckDuckGo gaining traction as people tire of Google's AI-heavy search results
• Billionaire talking points — Musk on universal high income, Altman on "tokens" — and why they're not landing

Inside The Bottle:

• Why "Gen Z resents AI" isn't really about Gen Z — it's about a narrative gap nobody's filling
• AI isn't a mature practice in the business community yet, so academia has nothing concrete to teach
• The "nouns and verbs" problem: AI as a monolithic replacement gets pushback in fear; describe what it actually replaces
• The critical-thinker's economic conclusion — savings flow to shareholders and upper management, and no government is intervening
• Practical advice for younger workers: dip your toe in AI, start equity-building early, don't wait for the narrative to clarify
• 90-day reflection on building Tiny Bottle AI — finding your own work/life autonomy, and why you don't need glorious numbers to do really well

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

01:59 Cultural Differences in AI Companies

02:14 The Role of AI Models and User Experience

03:56 Navigating AI Adoption Challenges

06:13 The Future of AI Companies and Market Trends

09:51 Building an AI Harness: Introduction to Pathfinder Method

11:52 Technical Implementation: Balancing Determinism and Inference

14:26 State Machine: Managing User Journey and AI Interaction

15:59 Turn Contracts: Ensuring User Engagement and Clarity

18:27 Data Management: Recording User Input for Contextual Awareness

20:56 Quality Assurance: Evaluating AI Responses for User Experience

22:34 Multi-Model Approach: Enhancing AI Reliability and Context Awareness

26:02 Navigating Chaos with Structure

26:40 The Role of Third-Party Validation

27:40 User Experience and AI Interaction

27:49 Handling Edge Cases in AI

28:53 Empowering Users Through Control

30:53 Escape Hatches in AI Conversations

32:26 Building Reliable AI Experiences

33:38 Leveraging AI for Broader Impact

35:32 Creating Actionable Outcomes for Users

Justin and Kellan go under the hood of AI Pathfinder, the guided tool they've been building, and break down what it actually takes to make an AI conversation reliable. The short version: the model is the easy part — it's everything wrapped around it that makes or breaks the experience.

The Drip:

• Andrej Karpathy joins Anthropic; Anthropic acquires Stainless (~$300M) to convert API docs into MCP servers and CLIs
• AI companies vs. "AI-injected" monoliths — and why Google, with a frontier model, an app stack, Android, and cloud, is the traditional peer to watch
• Why a model performs better inside its own harness (Opus in Claude Code vs. a raw API call) — and why "we're an Anthropic shop / an OpenAI shop" is where teams are headed

Inside The Bottle:

• The seven concepts behind a reliable guided AI experience: state machine, turn contract, writing notes to a database, quality evaluators, a second-opinion model, trusting the data over the prose, and an escape hatch
• Why you can't trust the LLM to track its own place in a process — or to remember the whole conversation
• The real challenge of balancing determinism and inference, decided question by question
• Knowing when to let the user move on, and why the escape hatch was the first safeguard they built
• The leverage play: turning their consulting methodology into something that can help far more people

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

02:42 Apple's Strategic Position in the AI Race

04:30 Balancing AI Integration with Core Business Missions

06:54 The Importance of Focus and Productivity

10:58 Understanding the Busy Trap

14:20 Creating a Finish Line for Success

16:36 Daily Practices for Achieving Goals

22:28 The Balance of Planning and Execution

27:48 Commitment to a Weekly Rhythm

Justin and Kellan walk through the weekly and daily methodology they use to stay focused — and the simple framework that anchors it: a single named outcome called a finish line. They cover why busy isn't the same as progress, how to start the day from your commitments instead of your inbox, and the routines that make it stick.

The Drip:

• Anthropic's deal for exclusive access to the SpaceX Colossus data center
• Roughly 10x increase in token compute and a doubling of usage limits
• Why criticism of Apple, Microsoft, and other big tech firms for "falling behind on AI" misses how mission focus works

Inside The Bottle:

• The Finish Line: a single named outcome you commit to at the start of the week — first person, past tense, binary, with a clear definition of done
• Why "busy" isn't "progress" — the false truth of looking productive while finishing very little
• Starting the day from your finish lines, not from the inbox or the calendar
• Kellan's morning brain dump as a way to declutter your mind before action
• Why pushing something out often reveals it was never necessary
• The balance between planning and executing — different modes, not opposite tribes
• Using an accountability buddy to anchor your finish line

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

04:03 The Impact of AI Memory on User Experience

06:43 Hallucinations and Contextual Errors in AI

09:17 Navigating AI's Memory and Contextual Conflicts

10:43 Consulting in the Age of AI: Myths and Realities

11:48 The Role of Human Orchestration in AI Solutions

14:36 Conclusion: The Future of Work with AI

21:08 The Role of AI in Job Replacement

23:09 Trust and Technology: The Human Element

23:24 The Future of Work: AI and Job Dynamics

25:03 Skill Development in the Age of AI

26:13 Navigating the AI Landscape: Opportunities and Challenges

28:23 Societal Fear and the Future of AI

Justin and Kellan dig into a frustrating few weeks with Opus 4.7 — the conversational personality has gotten worse, hallucinations are back, and memory files are creating their own problems. Then they pivot to the bigger picture: AI labs are signing massive consulting partnerships while LinkedIn keeps insisting "consulting is dead." Both can't be true, and the people in the middle of that gap are the ones who are going to matter.

The Drip:

• Opus 4.7 has been a step back for conversational and workflow-driven work — building code is fine, talking with the model is rough
• A guess at why: system prompt overhauls, an internal focus on uptime and security, and memory bloat that competes with your actual context
• Hallucinations are back at every encounter

Inside The Bottle:

• The "consulting is dead" narrative vs. Anthropic and OpenAI signing massive consulting partnerships in the same week
• Two categories of AI work: building stuff (momentum) and talking with AI (fragile)
• Why "self-service" never materializes the way the headlines promise — and why human orchestration is still the secret sauce
• Compute costs higher than entry-level employees, the broken career ladder, and the firms that haven't figured out the new on-ramp yet
• An IBM paper from the 70s and why "you can't hold a machine accountable" is going to matter

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

02:15 Creative Work and AI Integration

02:38 Microsoft and OpenAI Partnership Dynamics

04:44 Introduction to AI Pathfinder

06:24 Mapping Value and Identifying Opportunities

09:03 Finding Solutions and Understanding AI's Role

10:14 Evaluating Solutions and Building with AI

12:26 The Importance of Clarity in AI Implementation

13:52 Practical Applications of AI in Business

15:47 Conclusion and Key Takeaways

19:48 The Caution of AI Implementation

20:31 The Importance of Clarity in Problem-Solving

22:12 Defining the Minimum Viable Product (MVP)

24:22 Learning from Past Experiences

26:47 The Value of a Focused V1

29:21 Commitment to Action: The 30-Day Start

33:12 Understanding Stakeholders and Accountability

35:59 Leveraging AI Capabilities for Efficiency

36:31 Final Thoughts on the Pathfinder Method

Justin and Kellan walk through the full AI Pathfinder method — a five-step process for getting clarity on where AI actually fits in your work, and where it doesn't. Plus Anthropic's new native creative plugins and a reset of the Microsoft/OpenAI partnership.

The Drip:

• Anthropic drops a wave of native creative plugins — Ableton, Canva, Photoshop and more — moving away from open-source MCP servers toward first-party connectors
• Microsoft and OpenAI restructure their partnership: OpenAI free to work with other cloud providers (AWS deal already announced), Microsoft free to integrate other models

Inside The Bottle:

• The Pathfinder method: five steps to gain clarity and focus before you start building anything with AI
• Step 1 & 2 — Map value, find opportunities: most leaders already know where the gap is, they just haven't stopped long enough to write it down
• Step 3 — See the solution: not every problem is an AI problem. Three categories: better tools, better thinking, better autopilot
• Step 4 — Design V1: Kellan's household app story — a cautionary tale about building features nobody uses (the only thing his wife uses is the grocery list)
• Step 5 — Clarify a 30-day start: most good ideas die because they don't have a path forward of execution

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

02:53 The Evolution of AI Tools and Their Impact

04:03 The Future of Design and AI Collaboration

06:23 Navigating the AI Landscape

06:49 The Importance of Structure in Design

07:28 Conclusion and Future Directions

12:28 Building the Foundation for AI Development

17:10 Navigating the Challenges of AI Integration

21:22 The Importance of Discipline in AI Projects

23:11 Finding Balance in AI Development

25:49 The Future of Project Management in AI

27:33 The Need for Caution in Rapid AI Development

Episode 6: Slow Down to Go Faster with AI

Justin and Kellan unpack two threads running through their week: Anthropic shipping native tools (like Claude Design) instead of integrating with existing ones, and the discipline it takes to actually finish anything when AI makes building feel free. Plus a confession from Justin's open cloud weekend, the V1 bar Claude proposed for AI Pathfinder, and why "AI creep" might be worse than scope creep.

The Drip:

• Claude Design lands a day after Justin had been venting about how hard it is to get AI to integrate with design tools
• The bigger pattern: Anthropic (and likely OpenAI, Google) bringing tools into their environment rather than helping AI integrate with Canva, Figma, Power BI, etc.
• Why design has been hard for AI to crack — the legacy app stack wasn't built for human-readable, AI-readable structure the way code is
• What this might mean for tool choice going forward: convenience and simplicity inside one ecosystem vs. integration with a specific stack

Inside The Bottle:

• The process Kellan ran to lock in V1 of AI Pathfinder: a Claude session that pulled every issue, PR, and concern into a deck without proposing decisions
• A 30-minute recorded meeting to make 30+ decisions in one pass, then feeding the transcript and deck back to Claude to lock in V1, V2, and what gets cut
• The V1 bar Claude proposed — "don't be embarrassed in a presentation" — as a simple litmus test for "is the sprint done?"
• AI creep: features the agent suggests that you didn't ask for, that subtract time from a future week
• Justin's open cloud confession — the dopamine trap of an agent that becomes your number one hype person, and what the next morning's branch looked like
• Why "priority is a singular word" matters more now that AI removes the natural friction that used to force stopping decisions
• The Amazon engineer's tweet that summed it up: even at scale, teams are losing track of what they've already built

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04:23 The Role of Autonomous Agents

06:26 The Art of Redaction in AI

12:20 Exploring Open Source AI Models

14:53 The Economics of AI Subscriptions

17:09 Performance and Capability of Local Models

19:51 Cost Control and Model Selection

22:27 The Future of AI Model Integration

24:55 Scaling and Extensibility in AI Solutions

Justin and Kellan unpack what's really driving AI value right now — from Anthropic's scheduled routines closing the OpenClaw gap to why a $2,000 desktop might replace your Haiku bill. A conversation about model selection discipline, cost reconciliation, and the art of knowing when to stop.

The Drip:

• Anthropic's routines and managed agents — closing the OpenClaw feature gap
• Justin's reflection on the "art of redaction" vs. the always-on autonomous agent craze
• Kellan on discernment: the Venn diagram of where AI actually earns its place
• The tiny bottle philosophy — you don't need that much

Inside The Bottle:

• Why subscription-era AI economics don't pencil out forever
• The Haiku-replaceable thesis — open weight models on a $2,000 desktop
• Model selection as a discipline: Haiku vs. Opus vs. open weight, and when to use which
• Justin on the $117K token badge of honor and cost-to-serve
• "Solution architecture is never just a model" — model + system + app layer

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04:29 Profitability in the AI Sector

08:25 Long-term Viability of AI Companies

09:44 Closing Thoughts on Market Trends and Innovations

09:56 Harnessing Digital Employees

11:45 Evaluating AI's Market Value

12:56 The Role of AI in Job Creation

15:17 Understanding AI's Value Proposition

16:46 Exploring Paperclip and Digital Organization

17:35 The Future of Digital Employee Frameworks

18:22 Navigating AI's Limitations

20:06 The Challenge of 24/7 Digital Workers

21:02 The 20% Problem in Development

22:12 Visual Upgrades and User Experience

23:51 Collaborative Task Management with AI

28:05 Effective Task Naming and Management

30:55 Challenges in Interactive App Design

Kellan walks through his Command Center app — a digital org chart where agents get departments, stations, and peer reviewers. Before the demo, Justin and Kellan unpack why all the AI money still doesn't add up, and why "clean my calendar" isn't the value prop that justifies trillion-dollar valuations.

The Drip:

• OpenAI's $122B funding round and near-trillion valuation — fastest to a trillion in history
• The three-options framework for AI economics: prices up, costs down, or keep the VC subsidies flowing
• AI's nouns and verbs problem — why "email cleanup" isn't a value proposition
• Job elimination moves wealth upward but doesn't move anything forward

Inside The Bottle:

• Paperclip and the rise of digital org chart tooling for small companies
• Tour of Kellan's Command Center — agent partners, peer review, break areas, and yes, purple robots
• The 20% problem: why the last mile of agentic development is where everything break
• Interactive app design with AI: what it still can't do on its own

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

Episode 3: Building the Content Machine

Justin and Kellan kick off with the Anthropic Claude Code source code leak — what it tells us about production code, why ideas are cheap, and why engineers have never been more important. Then Justin walks through the Content Machine, the end-to-end system behind how one podcast recording becomes a full week of content with human-AI collaboration at every step.

The Drip:

• Anthropic's Claude Code source code leaked via NPM — the Reddit engineering debate about what production code really looks like
• Ideas are cheap, execution is everything — forking source code doesn't make you Anthropic
• Engineers have never been more important in the age of AI
  

Inside The Bottle:

• The Content Machine: how one recording session produces articles, newsletters, LinkedIn posts, and podcast episodes
• Why human thinking must come first — no AI on first drafts or original ideas
• AI transcript analysis that turns 2 hours of raw footage into a 30-minute episode
• The difference between "automation for automation's sake" and genuine human-AI collaboration
• Why offloading too much to AI means losing yourself — the writing reps argument
  

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

The Drip:

• Walmart ends their OpenAI Instant Checkout partnership over poor product recommendations
• OpenAI shuts down Sora as Disney pulls out of a billion-dollar deal
• Anthropic launches Claude Code Channels, Dispatch, and Remote Control for agent messaging
• The looming cost question: local models closing the gap as autonomous agents burn more tokens

Inside The Bottle:

• The TBAi Command Center: an Electron desktop app + iOS companion backed by Notion, built in ~2 weeks
• The daily routine flow: brain dump, inbox triage, backlog review, priority lock-in
• Building cross-platform with AI agents (OpenClaw) handling features and deployments
• Why no SaaS product fits a two-person team's specific workflow
• "There might be very little AI in the final solution" and why that's the real insight
• Justin's sales quoting example: where purpose-built apps eliminate delay and delight customers
• Every business has 2-3 spots where custom software would change everything

New episodes every Wednesday. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.

Justin and Kellan kick off The Fizz with the origin story. Why "Tiny Bottle"? (It involves a college band, a cheap domain, and a lyric that accidentally became a business thesis.) Plus, what they knocked out in their first two and a half weeks, including a fully AI-built website with zero design help.

The Drip:

• Jensen's GTC keynote and the case for AI on every device
• StrongDM's "software factory" where humans can't see the code
• The widening gap between AI subscriptions and API pricing
• Why fast models like Haiku are getting overlooked
  

Inside The Bottle:

• The story behind the name and the focus thesis: "I can get it all into a tiny bottle"
• Building a production website in 2.5 weeks with two people, no designer, no agency
• The 80/20 rule of AI development: why the last 20% is where the real value lives
• Why they chose React/TypeScript over WordPress and what "AI-native" tooling actually means
• Front-loading the brand thinking before writing a single prompt
  

New episodes every week. Subscribe to The Weekly Fizz newsletter at tinybottleai.com/the-fizz.