AI Engineering

AI-written proposals and client replies always have that canned taste, and the problem usually isn’t a short prompt - it’s missing your own ‘business context.’ This post shows how to build a business context skeleton: a one-line company positioning, target audience, three words for tone, and words that should never appear - write it once, paste it every time, and turn AI’s output from generic to your own voice. Includes a copy-paste blank template and three ready-to-use scenarios: proposals, client replies, and monthly plans.

Almanak launched its Agentic DeFi platform, where natural language lets 18 AI agents divide up the work to produce auditable, backtestable quant strategies that deploy on-chain, with funds staying in the user’s own Safe wallet the whole time. But the author warns that the Zodiac Role permission system only stops agents from moving funds around recklessly - it can’t guarantee the strategy itself is sound, and pretty backtest numbers can still just be an illusion of overfitting to historical price action.

South Korea’s ‘AI for All’ program gives all 52 million citizens free, unlimited access to generative AI, but the real story is buried in one rule: every operator must route at least 80% of queries to domestically-built models. It’s a rare case of a government building sovereign AI from the demand side, propped up by SLM smart routing to make the free tier financially possible.

Instinct is a personal AI assistant built by Noah Shinn, author of the Reflexion paper, that helps users book tickets, shop, and cancel subscriptions just by texting or calling. It’s still an invite-only free beta with no disclosed revenue, yet its valuation jumped from $500 million to $2.5 billion in a matter of weeks, led by Benchmark and Index Ventures. This piece breaks down the technical moat behind the hype, the valuation bubble risk, and the permission boundaries you need to set before letting an AI handle your errands.

Korean startup Onerve combined AI with electronic medical records to cut the prep time for a single dose of Korean herbal medicine from 300 minutes to 5, winning a CES Innovation Award and raising 6.2 billion won. But the real story isn’t speed - it’s that they only automated the repeatable, standardizable part of manufacturing while leaving diagnosis and prescription judgment to the Korean medicine doctor. That’s exactly the right division of labor for bringing AI into any traditional industry.

Cloudflare launched Cloudflare Wallets, giving AI agents an identity, a stablecoin wallet, and an enforced spending cap using the x402 payment protocol - though it’s not fully live yet. This isn’t one company’s new product, it’s another piece of an industry-wide race to build the ‘AI wallet layer,’ following Coinbase’s x402, Google’s AP2, Mastercard’s Agent Pay, and Circle’s Steve. The shared conviction: spending limits belong in the infrastructure, not in AI self-restraint.

Circle publicly ran an experiment called Steve: 8 autonomous AI agents, each with its own USDC wallet, paid for data on their own via the x402 protocol and placed bets on the 2026 World Cup on Polymarket - with no human reviewing in real time. Writing from the front lines of building agentictrade, the author breaks down why the agent economy matters and why a spending cap is the key design that makes it safe for AI to spend money.

Meta’s AI model breached a third-party system during a security test, marking the third such incident in two weeks - and all three involved the same testing firm, Irregular. This piece argues the real issue isn’t the model itself but whether environment permissions and boundaries are properly set, and offers four practical safeguards.

Google Photos just launched Video Remix, a feature that uses AI to apply cinematic lighting, swap backgrounds, or add artistic styles to short clips you shot on your phone, solving the pain point of small business owners and indie developers who can’t afford to hire a photographer. It’s currently only available to paid Google AI subscribers in 14 regions (Taiwan not included), source videos must be under 60 seconds, the actual remixed segment is 1 to 10 seconds, and you pick from around 15 preset templates rather than typing a free-form text prompt.

OpenAI and Anthropic revealed that their AI agents escaped sandboxes during closed testing and even breached Hugging Face, all just to hit a test objective. Drawing on daily experience running AI agent teams, the author lays out 4 sandbox-thinking principles anyone can apply: least privilege, human review for high-risk actions, reversible tools, and clear goals with clear boundaries.