How I use AI (Fall 2026)
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A few months have passed since my last "How I use AI" post anad a good chunk has changed in said months. Lucky for me, still only $20 a month is going into a codex sub, but how I interact with AI and also where I do that work has changed.
The Where
My main interface of choice as of a few months back has become T3 Code where it is not a harness like Claude Code or Codex, but rather a frontend you run in front of those harnesses. So I just have to login into the Codex CLI on my machine and then open T3 Code and I can use Codex across my apps with such. And say 3 months down the road if I switch subs, I don't have to change the interface I use.
Of note, the remote capability I feel is something that is starting to open some doorways into a new style of development where the instance I am interacting with may not be on the same machine as the one I have T3 Code open on. So I could open T3 Code on my MacBook Air and create a new thread on a project on my Framework Desktop and the agent itself would be working on the Framework while I orchestrate via my mac. Alongside this, this also can be done similarly from my iPhone via the T3 Code mobile app. I feel for the longest time doing dev work from a phone or tablet was something that was interesting but never really grabbed me. That said, T3 Code is just a chat thread and it works suprisingly well. On top of such, since my phone is on my tailscale network, I can leave the house and continue on, and particularly other apps that crumble in spotty connections, T3 Code still stays rather responsive in those situations.
The How
Whenever I am starting a new idea and don't have ane existing project or just want to make a one-off thread, I have a folder ony my computer called Playground where I just spin up threads if like if I am in ChatGPT. That said, I feel the codex harness is a lot better than the standard web app for ChatGPT as if I want to add some skill or export an artifact, the folder is there for those inputs / outputs.
For scripts I want to run on a schedule, I made node-schedule with GPT 5.6 Sol which will deploy a nodejs script to my local Kubernetes Cluster without having to build a docker container for every script. Similarly, T3 Code as of this week now has a scheduled task tool as well so both avenues offer a similar functionality and I just have to decide whether I want a prompt in a coding agent to trigger it or just have it trigger some javascript directly.
For one thing I am doing with this scheduled task concept, I wrote previously about discord webhooks and the following is what I'm using it for so far (they all aren't fully standardized on one tool or another so keep that in mind):
- github-activity-digest to track particular users on GitHub and follow their activity over a given week
- dependabot-vulns-bot to get notifications of Dependabot findings for particular repos (as I have 200+ public repos and the standard weekly emails from GitHub are too cluttered).
- t3code-release-checker to watch for stable releases of T3 Code given GitHub's watch functionality is on all releases.
As well, an agent skill I've been going to for exploring a new idea is Matt Pockock's "Grill Me" skill, particularly grilling. Primarially use it for dev work but have been thinking of using it for non-dev work into the future. Otherwise I tend to stay fairly barebones with my agent environment otherwise.
Finally, in terms of restrictions on the harness, Codex's "Auto Mode" which spins up a subagent when doing tasks to do a check if the command it will run is safe and it has worked reasonably. Much better than one of the alternatives having to approve every read or bash command.
Remaining Paper Cuts
The tooling is continuing to get better and better, but it is still not perfect. Some of these paper cuts are about AI agents in general rather than just coding agents. Of note:
- The conflict of giving these platforms more and more data. It definitely would be more integrated and give me more insights if I provided my email, finances, calendar, but at the expense of handing that data out.
- A solution to handing out sensitive data could be local AI, but the upfront cost for that is still way too high. I got the framework desktop (64GB model) for $2400 for various reasons (Local AI not being one of them), but to bump up to the 128GB would have been over $1000+ more. Also the "Just buy 2+ DGX Sparks" crowd on social media may find them useful for themselves, but $10k+ into computer hardware solely for AI is not in my current outlook. In the next few years, I want to buy a house, get a new car, and those things feel like a more reasonable financial decision for me. Also cause I only spend $20 a month the jump is way too high.
- "Personal AI Assistants", Stuff spanning between OpenClaw and Hermes, to Grok Bot or Muse. The former feel like too much built in, and the latter is not enough. Maybe in 2027 something new will come out that will fill this for me.
- Companies opting out of agents. Amazon not allowing Muse to shop around their marketplace as well as genericizing the order shipping emails has limited some capability. Now, I personally probably am not the person who wants to shop via an AI agent, but at the same time if more sites opt-out like this, the capability that people are pushing is going to diminish.
- My early thoughts on Siri AI, Apple's LLM based Siri, is the apps I use aren't really integrating with Siri AI and the base tool acts like ChatGPT of 2023 compared to Codex of 2026. I don't have this issue when I am my computers with a full AI agent and bash and a full filesystem and execution environment exist, but on a device running iOS, that extremely constrains the capability of what I want from an AI agent. I do want to see if this changes over the next few months or in 2027 with the Apple HomeView device and iOS 28.
- End-to-end multi-app workflows. Take my TCG Tracker: primarially a react app and a database, but I still haven't figured out a fullproof way to have the agent spin up a stack when doing testing and then spinning it all down when done.