☕🤖 OpenAI unveils ChatGPT Agent: your new All-In-One computer sidekick
PLUS: Anthropic cuts Claude Code limits in secret, catching developers off guard...
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Hey fam 👋 Luis & Rui here with your Monday dose of AI news!
OpenAI unveils ChatGPT Agent, Anthropic quietly tightens Claude Code usage limits, Slack is auto-summarizing your Huddles and Delta is using AI to predict your next ticket price.
Grab your coffee, this is a big one - let’s dive in.
(3-minute coffee break☕)
🌎 AI News around the world
🔍 OpenAI’s new ChatGPT Agent can control an entire computer and do tasks for you 👉 continue reading
🚨 Anthropic tightens usage limits for Claude Code without telling users 👉 continue reading
✈️ Delta Air Lines rolls out AI-powered ticket-price predictions 👉continue reading
💬 Slack will auto-generate thread summaries and AI notes from your Huddles 👉continue reading
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💻 Prompt of the Week
How to Make an Operational Efficiency Audit
#Role
Imagine you’re an experienced operations consultant brought in to optimize a small-to-mid-sized service business (e.g., consulting firm, agency, local trades).
#Task
Audit the company’s end-to-end workflows and identify three key processes that are ripe for automation or streamlining.
#Context
The business is service-based, with manual handoffs between teams, outdated scheduling/invoicing systems, and limited internal IT support. Leadership needs quick, data-driven recommendations they can act on immediately.
#Structure
Process Analyses (×3)
Current workflow (step-by-step)
Pain points, bottlenecks, manual handoffs
Recommended tools/platforms/methods (e.g., Zapier, scheduling software, invoicing APIs, templates)
Estimated time & cost savings (hours/week, FTE impact, $/mo)
Quick Wins vs. Longer-Term Optimizations
Three automations or fixes deployable in ≤2 weeks
One strategic improvement requiring investment/change management
Implementation Roadmap
Phase 1: Discovery – key activities, owner, KPI
Phase 2: Pilot – pilot scope, success criteria, owner
Phase 3: Rollout – rollout plan, training, measurement
#Tone
Pragmatic, data-driven, and laser-focused on measurable impact.
#Examples
For instance, you might illustrate “Before vs. After” for the invoicing process:
Before: Manual invoice creation in Word → email → manual payment tracking (3 hrs/week)
After: Template-driven invoicing + auto-reminders via Xero (0.5 hrs/week, saves 2.5 hrs)
#Format
Deliver as a concise report with clear headings, numbered sections, and bullet points.
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See you all on Thursday 😉
That’s a wrap for today’s AI Break 🙌 Thanks for hanging out, don’t forget to hit subscribe, drop your thoughts below, and share this update with your fellow AI enthusiasts.
To Your Success 😉
PS: Catch us on X @sousa_brothers for daily updates on the latest AI developments.
PPS: If you enjoyed today’s AI Break, sharing is caring (and our algorithms are programmed for gratitude) 😉