{{first_name | Leader}}, welcome back.
AI got noticeably easier. Smarter coding help, better document understanding, and more capable agents at the edge all move forward together. These are today’s updates.
Build production-ready AI agents by applying proven patterns and securing authorization.*
OpenAI launches GPT-5.2-Codex for agentic coding
Mistral releases OCR 3 for documents
Google unveils FunctionGemma for edge agents
Tools, resources, and a prompt to surface hidden risks before Q1. ⬇️
Complex architectures, no evaluation framework, security as an afterthought. These are the patterns that kill enterprise AI agents before they reach production.
This playbook reveals the five proven patterns from dozens of enterprise deployments, plus the three signals that identify which tasks need agents vs. traditional automation.
The missing piece for production? Secure agent authorization. WorkOS provides OAuth 2.1 for MCP servers plus enterprise auth features (SSO, SCIM, RBAC) that let AI agents access your systems safely.
OpenAI released GPT-5.2-Codex, a version of GPT-5.2 specifically designed for long, agent-driven software tasks. It performs well on benchmarks like SWE-Bench Pro, especially for refactoring, migrations, tool use, and security fixes. The big improvement is reliability over long workflows without losing context halfway through.
For engineering teams, this unlocks real productivity. Larger chunks of coding, cleanup, and automation can now be handed to agents with fewer checkpoints and less babysitting, which matters most for legacy systems and complex codebases.
Mistral launched OCR 3 with big gains in handling messy documents. It’s better with handwriting, tables, low-quality scans, and complex layouts, and it outputs clean, structured formats like markdown and HTML. It also supports over 100 languages and is priced for high-volume processing.
For teams in finance, legal, and ops, this quietly fixes a painful bottleneck. Cleaner ingestion means better search, better RAG, and fewer manual fixes before documents can be automated or analyzed.
Google introduced FunctionGemma, a small model designed for local function calling on low-resource devices. It can trigger APIs and control software directly, prioritizing privacy and edge use over cloud dependence.
This is more directional than immediate. It hints at a future where agents run closer to devices and data, but most enterprises will only feel this once edge use cases mature.
Productivity Tools
💡 Scribe – Instantly turns workflows into step-by-step documentation.
📊 Gamma – Creates polished decks and docs with AI, no design effort needed.
🤖 Raylu – AI copilots that plug directly into everyday tools and workflows.
🧩 Modular – Infrastructure for building and running high-performance AI systems..
Get featured tomorrow: How do you use AI for business/personally? Interesting stories will be shared with 100K curious readers.
One Chart That Matters
How often do travelers use ChatGPT or similar AI tools to help plan their next adventure?
Which AI browser are you most excited about?
💰 Funding
Keeper raised $4M pre-seed to build its early-stage platform.
Honeyjar raised $2M pre-seed to get its product off the ground.
💼 Roles in AI
Machine Learning Perception Software Engineer at Applied Intuition (US)
Senior Machine Learning Engineer, Planner Reasoning at Waymo (US)
🐦 The AI Leverage
What Looks Fine but Isn’t
When to use this? When numbers look “okay” at year's end, but you want to surface hidden risks before they turn into Q1 problems.
You are my risk and operations advisor.
Based on the update below, identify:
Areas that appear stable but are fragile
Assumptions we’re making that might not hold next quarter
Early warning signs leadership should watch in the next 60 days
One preventive action per area to reduce downside risk
Keep it sharp, realistic, and under 180 words.
Update: [paste current metrics, team sentiment, or year-end status]Correct Input Style:
Update:
Revenue hit plan, but the pipeline is thinner than usual.
Key accounts renewed, but with longer negotiations.
AI initiatives are running, but are owned by a small group.
Team morale is okay, but burnout signals are showing up.
P.S. Get more such prompts in the Prompting Playbook (free for you)
Q. Google’s AI call assist most immediately helps you:
Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.