CK

3.5K posts

CK banner
CK

CK

@ckoglmeier

Product leader interested in confluence of ideas, resources & people , and how our purpose is changing in the AI era.

Denver, Boston Katılım Kasım 2009
743 Takip Edilen650 Takipçiler
CK
CK@ckoglmeier·
5.5 + codex is really good. huge jump from the OAI team. can't wait for the response from anthropic.
English
0
0
0
21
Cynthia Bell McGillis
Cynthia Bell McGillis@cynthiamcgillis·
How are y'all handling company-wide skills? Putting them in a repo? Does that work for Cowork and less technical teams? I feel like there has to be a better way to organize these.
English
76
6
188
41.7K
CK
CK@ckoglmeier·
Anthropic and Perplexity on the same day trying to make Americas finance professionals have a coronary.
English
0
0
0
13
CK
CK@ckoglmeier·
First of many, at least for those that have the talent concentration to do it (Coinbase does), and those that don't will wither.
Brian Armstrong@brian_armstrong

This is an email I sent earlier today to all employees at Coinbase: Team, Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future. Why now Two forces are converging at the same time. We need to be front footed to respond to both. First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth. Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day. All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core. What this means To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice? - Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15+ direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles. - No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams. - AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role. In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs. To those who are affected I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done. All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information. To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements. Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters. How we move forward To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together: Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it. The Coinbase that emerges from this will be more capable than ever to achieve our mission. Brian

English
0
0
0
16
CK
CK@ckoglmeier·
Have been thinking a lot about pricing in the AI era. I’m fairly familiar with the literature on SaaS models, marketplace take rates and other usage based systems. What’s the canonical work on license based models? @ttunguz @danhockenmaier any recommendations?
English
0
0
0
29
CK
CK@ckoglmeier·
@adamghowiba Can’t believe this counts as news. A more complex version of this is something we ship every day in skills at Guild.
English
0
0
0
517
Adam Ghowiba
Adam Ghowiba@adamghowiba·
JP Morgan's investment research team just shared exactly how they built their multi-agent system "Ask David", and it's the same architecture pattern showing up everywhere: - supervisor agent orchestrates - specialized subagents handle retrieval, structured data, analytics - LLM-as-judge reflection node before the answer ships - human-in-the-loop for the last accuracy gap worth watching for anyone building:
English
140
672
6.9K
1.9M
Karri Saarinen
Karri Saarinen@karrisaarinen·
The obvious path for designers in the AI age is to move closer to code. But the more valuable path may be upstream: closer to the customer, the business, and the problem. If everyone can prompt agents to code, the scarce skill becomes knowing why, what, and how to build.
English
86
104
1.2K
55K
CK
CK@ckoglmeier·
The gravity has really shifted here, from small consultancies, to the big ones, to now the frontier models. The team at Task (taskeng.aI) is excited everyone moving to implement here - and hopeful that all the end companies ask “where should we and how”. Solutions without understanding the business will go… not well.
English
0
0
0
19
Shai Goldman
Shai Goldman@shaig·
OpenAI and Anthropic both have news about them getting into the services business getting AI deeply embedded into existing companies is going to take a lot of work, many times those companies don't have the resources or expertise to do it themselves
Shai Goldman tweet mediaShai Goldman tweet media
English
5
3
9
1.4K
CK
CK@ckoglmeier·
@claybavor Excited for y’all @claybavor. We’re early customers at Guild and very pleased with the results!
English
0
0
1
277
Clay Bavor
Clay Bavor@claybavor·
Sierra is raising $950 million from new and existing investors, led by Tiger Global and GV, at a valuation of over $15 billion. We now have more than $1 billion to invest in becoming the global standard for companies wanting to transform their customer experiences with AI. Two years ago, most of our customers’ agents were limited to support — tracking orders, troubleshooting devices, and resetting passwords. Fast forward to today, and AI agents built on Sierra are powering all parts of the customer life cycle, from purchase consideration to product discovery to retention and more. We are so excited for what’s ahead, and are deeply grateful to our customers and partners for being on this journey with us. sierra.ai/blog/better-cu…
English
9
3
75
16K
CK
CK@ckoglmeier·
Huge move. Love what the team at Task is doing here and they are seeing the same thing: mid-size businesses are ready to deploy AI, but most still need the operational map first. Which tasks? Which workflows? Which handoffs? Which judgment calls? Claude unlocks the capability. The next layer is deployment precision. I’m sure they’d love to partner with y’all on this: taskeng.aI
English
0
1
2
1.5K
Paul Smith
Paul Smith@realpaulsmith·
We just launched a new company with Blackstone, H&F, Goldman, others. $1.5B to bring Claude to mid-size businesses at scale. The demand I see across the economy is outrunning everyone's ability to deploy — ours, our partners', all of it. This is one piece of a very big puzzle.
English
97
63
1.1K
124.6K
CK
CK@ckoglmeier·
The question here is: is openAI and Anthropic launching SIs actually bearish or bullish for existing consultancies? Bull case: market is so big it doesn’t matter Bear case: all the PE use cases are now gone, that’s a lot of market loss
English
0
0
1
88
CK
CK@ckoglmeier·
@DanielMiessler The team at Task is doing great work in the critical middle phase of this — diagnosing where to focus and documenting what actually happens in your business, so AI and the humans doing the work can redesign it together. taskeng.ai
English
0
0
0
74
CK
CK@ckoglmeier·
@levie The team at Task is doing great work in the critical middle phase of this - diagnosing where to focus and documenting what actually happens in your business so that you can redesign with AI + humans successful in the new flow. taskeng.ai
English
0
0
2
795
Aaron Levie
Aaron Levie@levie·
Whether it’s existing consulting firms, new ones that emerge, FDEs from agent vendors, or new internal agent engineering roles, the amount of work that is going to be created to implement agents in enterprises will exceed anything we imagine today. The complexity of implementing agents in any existing organizations is very real. When I talk to large enterprises, as you move from a chat paradigm to agents that participate in meaningful workflows, there are a number of things they need to do. First, you have to get agents to be able to talk to your data securely across your systems. In many cases, enterprises have decades of legacy infrastructure that contain the valuable context for AI agents. That’s going to take a ton of work to go modernize and move to systems that work well with agents. Then, you need to ensure that you’ve implemented agents with the right access controls and entitlements, the right scopes to be safely used, and have ways of monitoring, logging, and securing the work that they do. Next, you need to actually document the processes in the organization in a way that agents can utilize for doing the work. You also need to figure out what the new workflow looks like when agents and people are working together on a process, and who steps in where. Just replicating the old workflow will mute the gains. Oh and you likely need to create evals for your top new end-state processes. Finally, you have to keep up with a rapidly changing set of best practices and architectural shifts happening in the agent space. While it’s fun for people to change their personal productivity tools on a dime, it’s 100X harder to do this in a business process. The speed of change is a blessing and a curse right now for anyone trying to keep a stable system design. All of this means that individuals and companies that develop expertise on the above set of components (and more) are going to be needed to help organizations actually implement agents at scale. This is also the rationale for vertical AI agents right now that can go in deep on a business domain and help bring automation to it. This is a huge opportunity right now whether you’re doing this internally or as an external business provider.
English
152
263
1.9K
543K
CK
CK@ckoglmeier·
@Mappletons I've been experimenting with various approaches. Open sourced some of what is working here. github.com/ckoglmeier/cla… Next step is figuring out context files. Similar but different needs.
English
0
0
6
1K
Maggie Appleton
Maggie Appleton@Mappletons·
How is everyone managing their agent SKILL.md files? Is it just chaos? Global skills, repo-specific skills, keeping them in sync between machines, figuring out which ones you have installed, authoring new ones. What are we doing? Does anyone have a sane system?
English
233
13
687
105.3K
CK
CK@ckoglmeier·
@gokulr I think there’s a 3rd - become a problem finder. Go upstream and help sort signal from noise. User and market research on steroids. My design lead has been focused here for the last two years and it’s an incredible leverage point.
English
2
1
5
1.2K
Gokul Rajaram
Gokul Rajaram@gokulr·
DESIGN: THE FIRST AI CASUALTY I'm increasingly sure that 2026 signals the end of product design as a full-fledged stand-alone function within companies. If so, it will be the first role / function to be eliminated by AI on a go-forward basis. Instead of hiring FT designers, startups are hiring / will hire design consultants to create a design system that the founder likes (this takes a few weeks max). Once the design system is finalized, PM/Eng feed it into their AI tool of choice to generate prototypes. The design system is refreshed annually by the same consultant. Larger companies will likely not backfill design roles and will do some targeted attrition to reduce the design department to 20% the size it is today. If you're a designer, I think you have two choices: 1. Become an entrepreneur: Start a design agency and become the go-to resource for design systems for startups and even larger companies. This can be a good recurring revenue business. 2. Become a builder: Add PM/Eng responsibilities to become a product builder. Would suggest you embrace this proactively vs waiting for the other shoe to drop. I'm really sorry about this - some of my best friends and the people I admire most and have learnt the most from are designers - but it seems inevitable.
English
280
80
1.1K
708.9K
CK
CK@ckoglmeier·
As open AI pivots to the enterprise – is there any world where they don’t buy Sierra? Brett would be an excellent co-CEO at OpenAI and they badly need Sierra‘s enterprise DNA.
English
0
0
0
96
CK
CK@ckoglmeier·
Holocracy really back in vogue in SV circles. Wonder where that will end.
English
0
0
0
36
CK
CK@ckoglmeier·
OpenAI shedding some talent: what’s going on over there!?!
English
0
0
0
33