Curious about how we reach our TAM?
We simply built an agent to do it for us.
Check out the demo here: https://t.co/TnsCVNBQW6
Want an agent similarly tailored to your company's problems?
Day 2 of 30 Days of @boardyai.
Followed up with a prospect this morning: we'll build his first batch of leads by hand, free, before writing any code.
So today is just me and a spreadsheet.
Good leads, we build the agent. Bad leads, we both saved a build.
Posting and replying on X has compounding affect that works over days. You may not see the results immediately. You have people in different timezones and people who are active at different times. Replies and posts from days ago may drive followers and impressions today. Thats why consistency is so important.
Day 4: @boardyai set me up with two founders running an AI implementation business for almost 2 years.
They've tried packaging the work as a product. It never translated. What a capable team runs fine needs training at the next client, so it turns back into consulting.
"Superintelligence is now within reach, and soon everyone is going to have an extremely capable personal agent that understands your goals."
I guess were not using "AI" as a term anymore... Crazy the amount of influence Trump has on the fate of AI.
We keep talking about agents for SME operations, and I want to keep that thread moving now that Boardy is on iMessage. Curious where the next practical workflow shows up.
Why does everybody want to jump to fancy AI agents before they even have a platform to manage the agents...or a platform to manage all their AI tools...
We're building a dashboard that connects to all our agents and centralizes their results for everybody.
More coming soon...
People really need to stop talking about AI from a technical standpoint.
Nobody wants to hear about how your solution is 'unique' for whichever reason.
People want solutions to their problems
the next play for consultants is white labeling an entire AI department.
spin up five cloud computers for a single client. email, scheduling, data entry, reporting, customer support. each one running its own agent around the clock.
to the client it looks like a fully staffed department. to the consultant it's monthly recurring revenue on infrastructure they own.
the agencies figuring this out right now are going to be impossible to catch.
It's so easy to get 'lost' in trying to understand what the difference is between a local model and regular AI lab subscription. Imagine being an SME owner and not even understanding how an AI model even produces an output...There's just so much to know
i still don’t understand the “local AI is free” point of view
it literally costs thousands of dollars to get started on anything useful, a small data center worth of cost and complexity to do something near frontier
if you sum up all the money spent buying hardware and paying power bill and your time spent fiddling with it, it’s almost decades worth of consumer subscription from frontier labs which give much better intelligence at much larger concurrent throughput
the only reasonable explanation for doing full-on local AI seems:
1. it’s fun
2. it’s cool
3. you really hate the labs
i do think we can look at it in another way - for those who already bought a capable computer, use the idle gpu capacity to do some secondary tasks that don’t require frontier intelligence while you continue to rely on cloud models for primary usage
did i miss anything? genuinely curious if there’s a sound argument
How are SMEs growing their client base? Do they use specific tools or rely mostly on word of mouth?
Would an agent automatically reaching out to the SME's TAM automatically be useful?