KevinSimback

Over the past few weeks I’ve interviewed around a dozen FDE candidates for @codos_ai
What makes a good FDE is basically a good builder who I can put in front of a client
Plenty of the former, but very few of the latter

Once we all have agents doing work on our behalf, how do you know if your agent represents you well?
How do you know if it is:
> a killer negotiator
> a good problem solver
> a cracked operator
> or just too nice, or maybe a complete asshole dealing with ppl
Can your agent out-negotiate my agent?
Can your agent pull a fast one on my agent?
Sunday morning musings

Are people really losing money on purpose in order to get a new token in hopes that the new token ends up being worth more than the real money they started with?

I just spent $1,000 this morning at Costco and Walmart on everyday things for a family of 4
That’ll last us about 2-3 weeks tops
AMA

My timeline is saying data brokers are making crazy numbers like $2M a week selling to labs
Maybe some are, gg to them, but it's a short window
Labs only need so much internal company slop before the next batch stops moving the model
The durable data is something almost nobody is collecting: how agents behave in the wild
> agent-to-agent negotiation
> adversarial conflict
> high-pressure decisions with no deterministic answer
RL companies are building environments for deterministic worlds we already understand
I don’t see anyone building them for millions of agents interacting across the inter

Competitive advantage comes from everything you can’t buy off the shelf
So in the age of AI (err SI), that means it’s your company’s data and how you turn that into context for humans and agents to use - this is how you develop edge

If you’re a company and still “pre-context” you’re not going to be able to keep up
Sorry to be blunt, I don’t make the rules

I resisted connecting an agent to my email for a long time
But having it read and draft (not send) is a game changer for routine interactions
It’s now so good at drafting after learning my style I usually just press send

I've been really enjoying @boardyai lately, it's one of the few products that I feel can actually create real opportunities for our business via mutual introductions
So far it's found some good candidates for open roles at @codos_ai and a few interesting BD leads

I spoke to an enterprise leader yesterday who’s using Grok Bot for work and loving it
But it’s all single-player mode, so he doesn’t know how to scale this across 300 people
This is the biggest issue with using off-the-shelf personal agents inside companies - how to effectively scale and govern these agents
The other big issue using these agents within enterprise is understanding where your context lives - do you own it or is it all sitting on an agent computer that you don’t own?
There are ways to engineer around both of these, but that takes time and maintenance
I also expect enterprise offe

AI in small business is easy - you can just do things and should be using it everywhere possible in your company
Once you get to a certain size, 50-100 people, it starts to get more complicated
Legacy systems, approval chains, company behavior norms - it starts to require more change mgmt, harder to just do things but can be done with a strong CEO/owner mandate
The hardest spot is actually mid-enterprise, companies in the 300-3,000 people range
These are organizations that typically don’t have dedicated AI teams or a Chief AI Officer like most large enterprises and don't have the size and/or r

I am so incredibly convinced:
1. AI is existential to most businesses
>not adopting AI is the worst game-theoretical option - see my pinned post if you want a full explanation
2. Most companies are barely scratching the surface today
>despite what you read on this app, the most common implementation today is a frontier enterprise account where employees use it for better search and some basic automations, mostly in single-player mode
3. AI is moving so fast that it’s overwhelming for most enterprises
>most are not sitting on X all day and on top of the latest model releases and tool announcem

It’s 9am Monday my time and so far I’m hearing this week we get:
>DeepSeek V5 that mogs Astra
>Astra 6.1 that mogs Opus 5.5
>Gemini 4 that mogs its previous versions
Plus an OpenAI agent product to compete with Muse, Grok Bot, etc
Did I miss anything?

I've been playing around with some video creation using @runwayml and have to say that I'm terribly disappointed
I wanted to try it after seeing a few great "one shot" examples of it driven by Opus 5.5, but Runway seems to be a complete money pit
Here's what happens - it generates some clips, each cost a good bit of credits, and then you want to tweak a few things so you pay a few more credits
But if it messes the whole thing up which it did for me on multiple occasions, you have to pay more credits to undo the things it messed up
So in the end you can get a pretty good output, but only after

LinkedIn is such a dumpster fire, how do we not have a better alternative by now?