... deep into the controlled Shopify connection architecture phase, and the product has moved from concept shell into a real Laravel beta with safety-gated infrastructure. The current beta is focused on proving the connection, tenant, OAuth, and token-vault architecture before allowing any live customer data flow. What is working now: The Laravel beta app is live in its private beta environment. The users table has been repaired and confirmed working. Core tenant tables are present: tenants workspaces shopify_stores ... ... tenant_user The encrypted Shopify token

... kept noticing that AI spend gets harder to control once a chat is already bloated with stale context, retries, and oversized model choices. So I built TokenBar: a tiny macOS menu bar app that shows live token

... Neither output would be ready to ship at first shot. Both would require more work to fix the details, refine spacing, and polish components. Claude Opus 4.7 shows better understanding of typography, color, spacing, and UI details. The per-token pricing suggests GPT-5.5 is the most expensive model ($30 per 1M output tokens

... them separately. Media blocks are resizable you can make them smaller or larger and place them neatly alongside other content. This turns a ticket from a simple task card into a complete space for work, discussion, and all related materials. Token-based pricing instead of per-seat billing We've updated PlayJoob's pricing model. The cost no longer depends on the number of active users in a workspace. Instead of a per-seat subscription, everything runs on tokens

... deep into the controlled Shopify connection architecture phase, and the product has moved from concept shell into a real Laravel beta with safety-gated infrastructure. The current beta is focused on proving the connection, tenant, OAuth, and token-vault architecture before allowing any live customer data flow. What is working now: The Laravel beta app is live in its private beta environment. The users table has been repaired and confirmed working. Core tenant tables are present: tenants workspaces shopify_stores ... ... tenant_user The encrypted Shopify token

... Last month I got one of those AI invoices that makes you open the usage page and squint. The annoying part was not that I used tokens. It was that I had almost no visibility while I was actually building. I was jumping between apps, prompts, and models, and the cost only became obvious after the damage was done. So I built TokenBar

... bill shows up after the damage is already done. You can have rate limits, dashboards, and pricing pages open in ten tabs, but none of that helps when you are iterating fast and have no live feel for token usage while you work. That is why I built TokenBar

... kept testing prompts across Claude and ChatGPT, then checking usage later and realizing I had basically no feel for where the tokens were going. That was the whole reason I built TokenBar

... from AI design tools. Claude Design launched 2 weeks ago. My LinkedIn feed exploded. I spent the week reading every take, replying to dozens of posts, and testing Claude Design myself. Five patterns showed up over and over. 1. Token burn is the #1 frustration Multiple users maxed out weekly limits in 2-6 hours. One burned 25% on 7 slides. The community built a workaround strategy: Opus for first prompt, Sonnet for edits, Haiku for tweaks. When your users ... ... fonts, incorrect colours, and spacing drift. One spent more time fixing the AI's output than building from scratch. 3. Manual edits cost credits Every adjustment routes through the AI model. Spacing changes, colour tweaks, layout shifts - all burn tokens

... When people first explore RWA tokenization, the first question that comes to mind is always about cost. And the answers they usually find are confusing. Some sources mention very low numbers, while others talk about extremely high investments. This creates a gap between expectation and reality, especially for founders who are planning to build a serious platform. To understand the average budget properly, you need to look at what you are actually building. An RWA tokenization

... full sequence: Step by step: The agent sends a deploy request to POST /agent/deploy If the agent has credits, the deployment proceeds normally (200) If not, the server returns HTTP 402 with a JSON body containing: the price, the token address (USDC or USDT), the recipient wallet, and the chain The agent sends the ERC20 transfer on-chain to the specified address The agent retries the original request, adding the transaction hash as a header (X-Payment-Tx) The gateway ... ... deployment draws from the same credit pool. The gateway warns about this and requires an explicit opt-in header (X-Use-Existing-Credits: true) to prevent agents from accidentally reducing the runway of their other projects. Supported chains and tokens

... built this to run OpenClaw safely. The problem: every sandbox I tried still handed the real API token to the agent as an env var. Nilbox uses Zero Token

... same $5 / $25 pricing as 4.6 also new stuff that shipped with it: a new `xhigh` effort tier (between `high` and `max`, and it's now the default in Claude Code), task budgets in beta (advisory token cap the model can see and plan against, different from max_tokens

... community Launching RugRadar today a free crypto token security scanner. What it does: Paste any contract address and get a 0-100 risk score with plain English results. No wallet needed, no signup required. What it catches: - Honeypots (tokens

... various APIs on top of that. One month I checked and realized I'd burned through $340 on AI tools without noticing. Each provider has its own dashboard and I never checked any of them regularly. So I built TokenBar. It sits in your macOS menu bar and shows your token

... capture records a screenshot on every click, scroll, and focus change automatically AI analysis ask questions about your screenshots, extract code, generate fixes Voice dictation hold a shortcut and speak into any app, developer-aware (says "arrow" gets =>) Token Compression Engine renders text as optimized images for LLMs, 83% fewer tokens

... Road to 1,000,000 #Votap users Day 61 | Current: 1295 I dream about tokens?? Push notifications in Votap have been pretty simple so far. If you follow a politician or based on your country we send topic-based notifications (basically broadcast to a group). Easy. But now I m building notifications for comment replies Which means: they have to be user-specific. And suddenly everything gets interesting. Tokens

... everyone! I just shipped TokenBar a native macOS menu bar app that tracks your AI token

... Road to 1,000,000 #Votap users Day 61 | Current: 1295 I dream about tokens?? Push notifications in Votap have been pretty simple so far. If you follow a politician or based on your country we send topic-based notifications (basically broadcast to a group). Easy. But now I m building notifications for comment replies Which means: they have to be user-specific. And suddenly everything gets interesting. Tokens

... didn t come into this space as pricing experts. We came in as builders. We re technical. We care about systems. And like many people in AI, we fell in love with tokens a little too quickly. Tokens

... once creates instant goodwill and removes the "is this worth it every month" anxiety. My conversion rate is way higher than I expected because of this. Comment from Monk Mode(@ranvir_singh12): For my app (TokenBar, a macOS menu bar utility that tracks AI token

... listened to our community and made some major changes to put privacy first . A new privacy-first API We redesigned our API now the official version to handle token compression with privacy at its core. We only require your AgentReady key . Your LLM API key stays yours we never see it: import requests, os from openai import OpenAI # Step 1: Compress messages with AgentReady res = requests.post(" https://agentready.cloud/v1/comp... ", headers={"Authorization": "Bearer ak_live_116e......"}, json={"messages": [{"role": "user", "content ... ... Send to YOUR LLM with YOUR key client = OpenAI(api_key=os.environ["OPENAI_API_KEY"]) response = client.chat.completions.create(model="gpt-4o", messages=compressed) Here's everything else we shipped: Optimized compression the new API compresses data more efficiently, reducing token

... usage governance, and vendor neutrality. Biggest lesson so far: authentication is straightforward - production-grade AI orchestration is where real complexity begins. Happy to connect with other builders working on infra-level problems. Comment from Monk Mode(@ranvir_singh12): Building TokenBar, a macOS menu bar app that tracks AI token

... everyone No CS background. Started vibe coding 3 months ago. 16+ hours daily. 15 billion tokens later I'm still learning. I was using a Claude Code leaderboard service made by another dev. Submitting my daily stats became my end-of-day ritual. It was my fuel for vibe coding. Then one day, the service stopped responding. I reached out to the dev. No reply. My source of motivation just... vanished. Every token

... paying OpenAI/Anthropic per token. Your customers are using your app. Somewhere in between, there's a spreadsheet, manual invoices, and zero idea who's burning through your budget. TokenTrail