Todd Geist
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toddgeist.me
Todd Geist
@toddgeist.me
Among other things, building @ottomatic.cloud with TypeScript, Supabase, FileMaker, and an awesome team at proofgeist.com

Board member onesparkacademy.org and pacificzen.org.

Transformation happens in the dark!
I dunno, it gives me the "I need a whole internet to believe I am amazing, just to drag my ass out of bed in morning vibe"

"Pathetic" is how I would put it
November 20, 2025 at 11:14 PM
Amazon blocking Perplexity isn't about transaction rules. It's about survival.

Shopify's bet on agent commerce isn't just strategy—it's an existential threat to platform monopolies everywhere.
November 20, 2025 at 9:52 PM
This threatens every platform built on attention mining—Amazon, Google, DoorDash. The internet consolidated among 5-10 companies. Agent networks could reverse that through infrastructure players with asymmetric incentives.
November 20, 2025 at 9:52 PM
The proof: Shopify open-sourced the Agentic Commerce Protocol with OpenAI and Stripe. Partnered with Perplexity (yes, the company Amazon blocked). Results: 7x AI traffic, 11x orders since January.

techcrunch.com/2025/11/04/s...
Shopify says AI traffic is up 7x since January, AI-driven orders are up 11x | TechCrunch
Shopify is bullish on AI-powered shopping agents, citing AI as an "incredible tool" to enable more entrepreneurs and calling it the "biggest shift in technology since the internet" during its third-qu...
techcrunch.com
November 20, 2025 at 9:52 PM
Unlike Amazon, Shopify is infrastructure, not a destination. They profit when merchants succeed—regardless of which interface drives the sale.

While Amazon blocks agents, Shopify is building the rails for them.
November 20, 2025 at 9:52 PM
Platform monopolies run on attention mining: capture users in a destination → steer them toward max platform profit → consolidation.

AI agents eliminate the destination entirely. No destination = no attention to mine. The business model collapses.
November 20, 2025 at 9:52 PM
He seems to be drawn to tacky gold stuff. Maybe this is the staff trying to help him find his way back, when he gets lost.🤪
November 5, 2025 at 10:58 PM
Well they haven’t cut them out “entirely”. I am still going to use switch to sonnet or gpt 5 for some tasks, but the majority of the tokens I am burning are now with composer
November 2, 2025 at 11:58 PM
Cursor spent 2 years using Anthropic and OpenAI models, collected massive amounts of data and use cases, then trained their own frontier-level model and cut both out entirely.

How is this not the playbook every AI application builder will follow?
November 2, 2025 at 11:55 PM
I haven’t thought of that movie in 30 plus years, but I knew it instantly from that one shot. And then I remembered the skeleton fighting scene.
November 2, 2025 at 6:38 PM
It is really fast, and so far the quality seems pretty good.

And being fast is pretty helpful. It’s easier to stay focused on what’s happening, which makes it easier to catch when it makes mistakes
October 29, 2025 at 11:56 PM
Another very important fact that falls out of this is

You still have to use your brain.
October 15, 2025 at 4:20 PM
It also explains why some people experience bigger wins than others. Some people’s bandwidth was much higher than others. They could type faster and the needed less googling to make shit work.

Those folks don’t get as much out of it as someone like me, who still can’t type with more than 2 fingers
October 15, 2025 at 4:19 PM
Thanks for mentioning this. I experience a lot of success.

And if you out there reading this do as well. It's ok. You don't have to feel bad. Other people get to have their own experiences. Just as you do.

Choose joy. And let others do the same.

For me, today, AI Coding brings me a lot of joy!
October 9, 2025 at 6:30 PM
But if your chat app, like Claude or Goose, uses tools from an MCP Server, and it fails 1 in 4 times, you can correct it. You can tweak the context and try again.

YOU are the planning and correcting agent.

It's not a perfect system, but it can result in workflows that feel fast and effective.
September 4, 2025 at 11:55 PM
this becomes even more obvious when you try to build multi-agent systems. If you have three agents that each fail 1 out of 4 times, your system is will only work 4 in 10 times, as the errors compound. .75 x .75 x .75 = .42

If each of these agents hides it memory the system as a whole can't learn.
September 4, 2025 at 11:55 PM