The most confusing part with all these new agents coming out is getting the time to test them all. I made a quick breakdown of all of these AI agents and their use cases so you guys can make better, data-driven decisions. Check out the video below. Is anyone using Muse, Grokbot, or Dots, and if so, how?

the moat has been changing since ai has gotten really good at coding and decompiling i talk about what is going on in this whole space and what is next for builders

4.1 flash 1017 competes with opus 5 level intelligence and its available to download NOW most ppl do not realize what this means you can literally have a opus 5 model running locally open weight models will be the future

here is how to actually use that... three open models in three days, and each one was cheaper than the last. per million output tokens on openrouter today: - opus 5.5: $20 - muse spark open (meta, wednesday): $4.25 - beam 1.0 (reflection, thursday): $1 - deepseek v4.1 flash 1017 (today): $0.55, and 9 cents per million in opus 5.5 is still the best model. artificial analysis has it at 58 and nothing open is close. i am not telling you to switch. i am telling you the cheap tier just got good enough to matter for beginners. what "good enough" means lol deepseek's own table (hugging face model card) says flash 1017 scores 77 on deepswe, a benchmark of real github bug fixes. they compare that to opus 5 at 74. notice that is opus 5, not opus 5.5. and on terminal bench, the one that measures working inside a real terminal, opus 5 still wins 51.8 to 42.3. so: good at contained fixes, weaker when the job gets long and messy. that is exactly the split you want for a two-model setup. the two-model setup (the thing to actually do): 1. cheap model for the boring 80%: writing tests, fixing lint, renaming things, summarizing a file, first drafts of a component. mistakes here are cheap to catch. 2. opus for the 20% where a wrong answer costs you a day: architecture, auth, payments, anything touching the database. if your tool lets you pick a model per task (cursor, claude code with openrouter, beckon), that is a one-line config change. [YOU: one line on how you split it in your own setup, or delete] one more thing in the same deepseek announcement: they opened a search and fetch api, $0.75 per 1,000 calls, and it is free through claude code and codex for deepseek api users until oct 31. if you have been paying for a search tool for your agents, read that announcement. SO.. try this today: take the last task you gave your main model. run it again on deepseek flash 1017 through openrouter (model id deepseek/deepseek-v4.1-flash-1017). same prompt. compare the output and the cost line in the openrouter dashboard. post both numbers below. i want to see where the cheap model breaks for a beginner project, because that is the line we all need to know.

REA : https://github.com/morluto/rea Matt Pocock skills: https://github.com/mattpocock/skills context-mode: https://github.com/mksglu/context-mode Scroll World: https://github.com/oso95/scroll-world HyperFrames: https://github.com/heygen-com/hyperframes i break them all down here on why you should be using them