In this video, I break down exactly how to sign your first AI workflow client in 7 days, with real proof. You’ll hear directly from a member of AIS+, Christian, who signed his first automation client in just 7 days. We walk through the exact process he used, what actually worked, and how you can apply the same steps yourself.

Claude Sonnet 5: The “Fennec” leaks: Fennec Codename: Leaked internal codename for Claude Sonnet 5, reportedly one full generation ahead of Gemini’s “Snow Bunny.” Imminent Release: A Vertex AI error log lists claude-sonnet-5@20260203, pointing to a February 3, 2026 release window. Aggressive Pricing: Rumored to be 50% cheaper than Claude Opus 4.5 while outperforming it across metrics. Massive Context: Retains the 1M token context window, but runs significantly faster. TPU Acceleration: Allegedly trained/optimized on Google TPUs, enabling higher throughput and lower latency. Claude Code Evolution: Can spawn specialized sub-agents (backend, QA, researcher) that work in parallel from the terminal. “Dev Team” Mode: Agents run autonomously in the background you give a brief, they build the full feature like human teammates. Benchmarking Beast: Insider leaks claim it surpasses 80.9% on SWE-Bench, effectively outscoring current coding models. Vertex Confirmation: The 404 on the specific Sonnet 5 ID suggests the model already exists in Google’s infrastructure, awaiting activation.

OpenAI released a standalone macOS app for Codex that treats multiple AI agents like a team you're managing, not a chatbot you're prompting. The automation and cron job features feel like a decent replica of OpenClaw, and it feels like OpenClaw lite. ***For a limited time (reportedly two months), Codex is available to ChatGPT Free and Go users, with doubled rate limits for Plus, Pro, Business, Enterprise, and Edu plans.*** Highlights: - Multi-Agent Orchestration - Agents run in separate threads organized by projects with built-in worktree support so multiple agents can work on the same repo without conflicts. - Skills System - Pre-built workflows for common tasks like implementing Figma designs, triaging bugs in Linear, deploying to cloud hosts, and generating images. You can explicitly invoke skills or let Codex auto-select based on context. - Automations with Scheduling - Set agents to run background tasks on automatic schedules—daily issue triage, CI failure summaries, release briefs, bug checks. Results land in a review queue so you can jump back in when needed without blocking your main workflow. - Plan Mode & Personalities - New "plan mode" lets Codex read through complex changes in read-only mode and discuss with you before executing. Customizable personalities (pragmatic, empathetic, terse) adjust how the agent communicates, accessible via the /personality command.

Most businesses don’t lose customers because of bad service. They lose them in the gaps. The missed call that never gets followed up. The lead that sits untouched for 2 days. The CRM note no one checks. The reminder someone meant to send “later.” None of this feels dramatic in the moment, but over time, it quietly compounds into lost revenue and frustrated teams. The fix usually isn’t more hustle or more too. it's s designing the workflow so the next step always happens, even when people are busy. Where do things most often fall through the cracks in your business?

I’ve been building in AI automation for over 2 years, helping clients, growing systems… and learning the hard way about financial pressure. There was a point where cash flow stress almost made me take on a loan for my agency. I didn’t want that, debt hanging over your head is heavy. Instead, I found a system that works for me, one that: - Reduces financial pressure - Keeps client work moving - Doesn’t need loans or big upfront investment - Lets the agency grow sustainably It’s been a game changer, and I know many of us in the AI space face similar struggles. How do you manage cash flow pressure in your agency without taking loans? Let’s share ideas, we all could use better systems.