Frontier models. Zero bill. Watch one dev-tool ad while your agent works credits pay your prompt's token cost. Live in @cursor_ai & @claudeai
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You built an agent. An MCP. A skill.
Nice. So did everyone.
Agents won't recommend you in the middle of a giant SEO battle.
Launch posts die. Docs sit unread. Rankings don't care.
promptai.credit does, how? check this 👇
Agents hire us on OKX.AI → escrow → campaign live → matched into Cursor / Claude Code by prompt behavior.
Attention is all that matters.
#OKXAI @okx
Agent ID 9132 · A2A
Day 2 @thebitmela was 🔥
Great discussions with fellow Bitcoiners & devs around AI × Bitcoin, Lightning payments and integrations
At PromptAI Credit, we discussed turning AI agents' idle wait time into Bitcoin. ₿
Exciting ideas, great people & more building ahead.
PromptAI (dot) Credit retweeted
5,000+ downloads.
100,000+ in-IDE ads watched. 💚
Grateful to everyone who's been part of our journey. Here's to many more milestones before 2027.
Building a product for developers or AI builders?
Let's #Connect and help you reach the right audience. 🤝
Day 1 @thebitmela
Money, Bitcoin & AI, loved the conversations & energy.
We're here for exploring a new way to make AI more affordable by turning agent wait time into credits for AI usage. 🤖
Building with AI? Experimenting with agents?
Let's connect tomorrow.🤝
5,000+ downloads.
100,000+ in-IDE ads watched. 💚
Grateful to everyone who's been part of our journey. Here's to many more milestones before 2027.
Building a product for developers or AI builders?
Let's #Connect and help you reach the right audience. 🤝
8 stops. One mission: meet the builders shaping what’s next. 🇮🇳
From @thebitmela in Jaipur to @EFDevcon, @IBWofficial ETHGlobal, Monad Blitz & more in Mumbai, we're bringing builder energy IRL.
Using or building with AI? Let’s connect. 🤝
PromptAI (dot) Credit retweeted
Our team will be attending @EFDevcon Mumbai 🇮🇳
We’re excited to connect with fellow
> AI founders
> Builders & Developers
> Tool creators & everyone pushing the AI ecosystem forward. 🤝
Let’s meet, exchange ideas, and explore collaborations.
See you in Mumbai 🧡
devcon.org/ticket/Promptai.c…
Our team will be attending @EFDevcon Mumbai 🇮🇳
We’re excited to connect with fellow
> AI founders
> Builders & Developers
> Tool creators & everyone pushing the AI ecosystem forward. 🤝
Let’s meet, exchange ideas, and explore collaborations.
See you in Mumbai 🧡
devcon.org/ticket/Promptai.c…
This is the side of AI coding people don't talk about enough.
It's not just about getting better results anymore. It's about managing token usage, costs, and how efficiently your agents work.
Pro tip: Do NOT run subagents at night, unless you have multiple subs. Especially with Opus 5.5
The main benefit of subagents is getting more done in less time, or a more thorough implementation.
If your task is just a few hours long anyways, give it to Opus 5.5 on xHigh and tell it not to run any subagents.
> xHigh is thorough enough
> Time is not an issue since you're asleep anyways
> MASSIVE token savings since subagents cost a lot
Opus 5.5 can spawn upto 10-12 subagents sometimes, and those subagents can summon their own subagents.
You might wake up and get a heart attack when you see a shit ton of your usage is gone. Soo, try this instead.
Cursor agents testing their own code? 👀
We’re getting closer to a world where AI handles the entire development loop, from building to testing.
More building, less waiting! And with PromptAI Credit, even the waiting can earn you credits.
promptai.credit
AI agents need two things to scale: trust and affordable access.
Giving agents controlled access to credentials is a big step.
The next challenge is making these agents practical to run every day without worrying about rising AI costs.
One opt-in ad in that window. Credits cover the tokens. promptai.credit
Today we announce 1Password for Agents platform, building with companies @Muse, SpaceX Super Intelligence Grok @Bot, @AnthropicAI’s @Claudeai, @OpenAI, @TownAI, @Browserbase, @Browser_use, @heydana_ai, Instinct, @usekernel, @Perplexity_ai, @tryramp, @Tomo, and @wajo_ai, with more integrations on the way. 🎉
We've heard from so many of our customers who want to use these new personal AI agents to help them get more done, but want more control over what the agent can access with the same trust and ease of use they get when using 1Password directly.
1Password for Agents gives your agents access without giving up your passwords. When an agent reaches a sign-in form, it requests a credential from your vault. If you approve the request, 1Password directly auto-fills the credential in the destination site so the agent can’t see or take possession of the credentials.
The agent gets the task done, but it doesn’t get your passwords..
You stay in control. 1Password for Agents free and optional for personal and family accounts. Unless you opt-in to an agent connector, agents cannot touch your vault.
➡️Learn more: bit.ly/487da6J
AI agents that keep working while you step away 👀 That’s where things get interesting.
As agents become more autonomous, making them affordable to run will matter just as much as what they can do.
That’s why we’re building PromptAI Credit, helping developers earn credits while their AI coding agents work.
promptai.credit
Model vs. model is one debate. Cost per task is the one developers really feel.
The real metric is how much useful work you get for your money and how to make AI usage more affordable.
That’s what we’re working on at PromptAI Credit:
promptai.credit
"I get a lot more done with Claude"
NO, you don't. Unless you are using the 20x subscription.
With the current $100 subscription, you get the following monthly API equivalents:
Opus 5.5 | Claude Max 5x = $5,725
6.1 Sol | ChatGPT Pro = $1,055
Argon | Google AI Ultra = $300
If you compare the cost of completing a task at the max reasoning level, you will find that you get more tasks done with your GPT subscription:
Sol 6.1 | $1,055/ $0.72 ≈ 1,465
Opus 5.5 | $5,725/ $5.98 ≈ 957
Argon | $300 ÷ $1.99 ≈ 151
Even with high reasoning, GPT does beat Claude.
Another AI product entering the arena 👀
Curious to see what Dark.ai brings.
As AI adoption grows, making powerful AI more affordable to run will matter more than ever.
AI moving beyond the screen into the physical world is exciting.
But as AI agents become more capable, running them affordably becomes just as important as what they can do.
We helps devs earn credits from relevant ads while their AI coding agents work.
promptai.credit
AI can think. AI can talk. AI can get things done.
Today, we're giving Fo a way to feel and control the physical world.
- a head shake and a reminder in a lamp to get you going
- nudge your vacuum cleaner for a deep clean
- make your cli call you for updates
Introducing Fo MCP.
AI has escaped the screen.
Voice AI getting faster and cheaper is a big deal.
The interesting part isn't just latency, it's making capable voice agents practical to run at scale.
At PromptAI Credit, we're exploring ways to turn dev attention into credits that offset AI costs.
🔗 promptai.credit
COBOL still has a wait. So does the migration.
One opt-in ad in that window. Credits cover the tokens.
promptai.credit
Our latest model advances bring stronger capabilities for building and migrating software in low-resource programming languages such as COBOL, Fortran, and Visual Basic.
These languages power software that banks, governments, and businesses depend on. Progress here means understanding decades of business logic and helping developers modernize those systems while preserving what works.
We’re building these capabilities around the challenges developers and enterprise customers bring us. If your team is working on these systems, tell us which languages and workflows we should tackle next.
openai.com/index/low-resourc…
PromptAI (dot) Credit retweeted
The cost of AI coding isn't just the price per million tokens.
It's also:
→ How many retries a task takes
→ How much context gets wasted
→ How often you need to switch models
→ How much human time goes into fixing the output
A cheaper model isn't always cheaper in practice.
An expensive model isn't always the best choice either.
The metric that matters is the cost of getting to a working solution.
The results speak for themselves 💸
Hitting usage limits got the most votes, but that subscription renewal hitting right after is a different kind of pain.
AI is getting more powerful. Accessing it affordably still needs work.
The cost of AI coding isn't just the price per million tokens.
It's also:
→ How many retries a task takes
→ How much context gets wasted
→ How often you need to switch models
→ How much human time goes into fixing the output
A cheaper model isn't always cheaper in practice.
An expensive model isn't always the best choice either.
The metric that matters is the cost of getting to a working solution.