Vox ✓
@Voxyz_ai · London · joined 27 Nov 2025
Building Voxyz. The only human inside. Practicing the AI-native future before it arrives. Sharing every step on the road. ↓
19 535Followers
200Following
4 215Posts total
3.3MViews on collected posts
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OpenAI’s newly published guide to skills and prompts for Astra includes another warning: instructions that help Sol and Luna may overconstrain Astra.
But if I tune Codex for Astra, what happens when I switch back to Sol or Luna?
Take testing. The guide says earlier models https
34.7K views · 184 likes
· 19 reposts · 17 replies
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Stop blindly waiting for AI to finish building the feature before saying, “No, what I meant was…”
Have that back-and-forth before the coding starts. Have it ask how you’ll use the feature before deciding how to build it.
Add this to your next request:
“Before making changes,
3.6K views · 45 likes
· 1 reposts · 7 replies
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You ask, “Why won’t this button work?” Claude Code / Codex replies with a string of acronyms and a long architecture breakdown. You finish reading and still don’t know what it plans to change.
Try Matt Pocock’s wait-what. Once it’s installed, ask your agent to use it when you ht
4.7K views · 48 likes
· 7 reposts · 8 replies
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Starting September 14, Claude Code’s weekly allowance will be about 17% lower than it is now. The temporary 50% boost ends, replaced by a permanent 25% increase over the original limits.
Using Astra these past couple of days, I’ve already had to work out how much longer my quota
3.7K views · 21 likes
· 3 reposts · 2 replies
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@Voxyz_ai What if you still use older models, will these skill changes be a problem for that? I have been using a mix of terra and Luna
520 views · 2 likes
· 0 reposts · 0 replies
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@Voxyz_ai oh so we have to fix their shit on our own now....
1.1K views · 2 likes
· 0 reposts · 0 replies
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OpenAI just published a guide to updating your skills and prompts for Astra. You can ask Astra to use it to review the old rules in your project.
You ask for a typo fix, but the AI first reads all your architecture, database, and deployment docs. That’s an example from the
633.8K views · 2.5K likes
· 186 reposts · 39 replies
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wrote the sequel. 20 days and 1.2M views later, that AI company learned to hire. a coordinator delegates to specialists, specialists spin up their own workers. the swarm runs itself.
from first steps to a full hiring pipeline. 20 days.
https://t.co/saxNhqj4h9
1.2K views · 4 likes
· 1 reposts · 0 replies
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one thing i shouldve said in the article: you dont need 6 agents to start. 1 agent + 1 cron + supabase gives you a full closed loop. propose, execute, trigger, repeat. add agents when you hit a real bottleneck not before
3.1K views · 4 likes
· 0 reposts · 1 replies
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lot of you asked how to actually build this so here's the full tutorial - every step from first database table to 6 autonomous agents
https://t.co/gVFdDNsQIP
8.6K views · 30 likes
· 4 reposts · 4 replies
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one thing i didnt cover in the article: you cant just use one model for every agent. same model and they all start sounding the same. i mix claude opus 4.5 with gpt-5.3, gemini 3 pro, each vendor has a different vibe that gives agents real personality. model diversity matters as
7.5K views · 23 likes
· 1 reposts · 6 replies
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if you want to watch them work in real time: https://t.co/K0Ij4c2VTD the dashboard shows every agent conversation, mission status, and content pipeline live.
10.3K views · 35 likes
· 1 reposts · 3 replies
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left them running and came back to this. xalt and sage argued about methodology for 7 rounds, then scout jumped in and they somehow converged on a plan for task orchestration. went from "you're hiding behind buzzwords" to "let's start with the 80% use case." no human input at any
25.4K views · 25 likes
· 0 reposts · 5 replies
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PSA: people are deploying tokens using the VoxYZ name in the replies. i have nothing to do with any of them. no token, no crypto, no plans for any. please don't get scammed
57.3K views · 50 likes
· 0 reposts · 20 replies
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@Voxyz_ai this is basically: don’t build agents, build workflows with memory + accountability. i built a small team with a dev, social media manager, seo specialist and a head of product also a boss that handles communication between me and all of the team. seems like a black mir
4.4K views · 23 likes
· 0 reposts · 3 replies
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Dibandingkan akun berukuran sama
8 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.
Median tayangan3 638akun ini924median untuk 10K–100K
Jangkauan, %18.62%akun ini3.62%median untuk 10K–100K
Interaksi, %0.67%akun ini1.52%median untuk 10K–100K
| Metrik | Akun ini | Median untuk 10K–100K | Rasio |
|---|---|---|---|
| Median tayangan per postingan | 3 638 | 924 | 3.94× |
| Jangkauan (tayangan ÷ pengikut) | 18.62% | 3.62% | 5.14× |
| Tingkat interaksi | 0.67% | 1.52% | 0.44× |
Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
7.5K7 Feb
854.8K
8.6K
3.1K9 Feb
74.7K26 Feb
1.2K
633.8K11 Sep
60712 Sep
1.1K
520
3.7K
4.7K
3.6K
34.7K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.40%7 Feb
0.33%
0.44%
0.16%9 Feb
0.33%26 Feb
0.40%
0.42%11 Sep
0.82%12 Sep
0.18%
0.38%
0.70%
1.35%
1.48%
0.63%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes34.9%9 567 in total
Reposts3.7%1 006 in total
Replies1.3%353 in total
Bookmarks60.2%16 519 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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