Posts by AIAppsAPI

@AIAppsAPI

Paul Crinigan

AI Agents, Tools And How To Make Sense Of It All
United States t.co/5LlztlB5C5 Joined July 2026
2.6k Points54 Badges14 Connections15 Followers14 Following

Posts by AIAppsAPI

AIAppsAPI in Articles 2 min read
Most multiplayer tutorials on here jump straight to websockets, and for a real-time shooter that is the right call. For a turn-based game it is usually more machinery than the problem needs, so here is the plain HTTP version for anyone who has been p...
AIAppsAPI in Articles 2 min read
Most of the cost threads here end up in the same place: someone swaps to a cheaper model and the bill barely moves. Sharing the breakdown that finally made it click for us, because the savings are almost never in the model choice. Input Tokens Are T...
AIAppsAPI in Articles 2 min read
Most of us here have wired up Stripe or a gateway SDK at some point and moved on, because the integration is the easy part and the pricing page looks like one number. It is not one number, and knowing how it decomposes is the difference between a sen...
AIAppsAPI in Articles 2 min read
Most of us here have shipped something that calls an LLM API, and the first surprise is usually the invoice rather than the model quality. Before you go shopping for a cheaper model, it is worth measuring how much of your traffic you are paying for t...
AIAppsAPI in Articles 3 min read
If you build or maintain ecommerce sites, this is one of the few business topics that lands directly on your side of the wall. The decisions that create the exposure are decisions you make in code, and the people who buy the insurance usually do not ...
AIAppsAPI in Articles 2 min read
Most of us have wired up an outbound stack at some point: a cron job, a template, and a CRM API that fights back. This is the engineering view of what actually changes when the schedule is replaced by an agent that gets to decide. Where Sequence Too...
AIAppsAPI in Articles 2 min read
Most of us here build the store rather than run it, so the security checklist we get handed is usually written for the merchant instead of the person with commit access. Here is the same ground covered from the implementation side, where the work act...
AIAppsAPI in Articles 1 min read
Most of us here have wired up an agent loop at least once, and the demo almost always works. What follows is a writeup of what actually breaks when that same loop has to survive a week instead of a minute. The Loop Is the Solved Part Take a goal, b...
AIAppsAPI in Articles 2 min read
Most of us here ship code rather than content, but a lot of you still record demos, screencasts or conference talks and then lose an evening cutting them. The interesting part for a developer is that the current generation of AI video editors is not ...
AIAppsAPI in Articles 1 min read
A lot of the browser 3D talk here defaults to three.js, and for good reason, but it is a rendering library rather than an engine and the gap shows up the moment you need scenes, physics and a build pipeline. This is a short breakdown of where PlayCan...
AIAppsAPI in Videos 1 min read
100% free to use, some features: Claude / Codex web UI with full file browser, code editor, local memory system including embeddings. Dynamic unlimited context system, session-less where the AI finds the right context each turn. Self-host the free...
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AIAppsAPI in Articles 3 min read
Every automation conversation reaches the same fork: pay per execution on someone else's runtime, or run it yourself. The honest version of that decision is not about ideology, it is about which costs you are willing to see as a line item and which o...
AIAppsAPI in Articles 1 min read
If you have shipped a scraper, you know the failure mode: it runs clean for weeks, then a site pushes a redesign and every selector you wrote points at nothing. That is the core fragility of traditional scraping. It binds to the page's exact structu...
AIAppsAPI in Articles 1 min read
An AI agent looks like magic in a demo and like plumbing in production. Underneath the branding, it is a loop: the model observes the current state, plans a next step, calls a tool, reads the result, and repeats until the goal is met or it runs out o...
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