Full-cycle guide to start your own AI Agency (From $0 To $10K/mo)

x.com/i/status/2043579325287735518

It took me hours to write this banger, enjoy reading 🙂

your likes and reposts are appreciated ☺️

Opus 4.7 just changed how we talk to AI and most people are about to pay a massive ambiguity tax

> Every vague prompt is now directly priced into your token spend
> Anthropic removed the temperature and top_p knobs to enforce absolute precision
> Adaptive thinking means the model spends more reasoning tokens if your intent is fuzzy
> Task budgets will cut off your agent mid-loop if you don't define success criteria

The era of throwing a lazy prompt at an agent and praying is officially over

You either describe your logic with absolute rigor or you watch your budget burn for zero results

Details: https://x.com/the_smart_ape/status/2045070676063649908

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1,247 GitHub stars does not make an AI tool safe to run.

Before installing a random Claude Code tool, MCP server, Cursor plugin, or agent repo, spend 5 minutes here:

https://x.com/alphabatcher/status/2055725622165745976

Early 👀

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Andrej Karpathy on LLM culture:

"in the simplest case, it would be a giant scratch pad that the LLM can edit"

The Familiar article below is that idea built with Kimi Work and markdown

The setup worth stealing:

https://x.com/alphabatcher/status/2065902604383887602

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AI is moving deeper into critical infrastructure, private communication, and Windows itself

Six major stories from Aug. 19–20: Siemens PLC attacks, ChatGPT in iMessage, private safety processing, Stripe’s OpenRouter deal, and NPU tracking 👇

1. US agencies warn of active AI-generated exploits targeting Siemens S7 PLCs in critical infrastructure Sources: CISA/NSA/FBI/DOE/EPA advisory · SecurityWeek

Joint advisory (Aug 19) details threat actors using AI-assisted scripts (with open-source snap7 libraries) to target internet-exposed Siemens S7 Series PLCs for reconnaissance, access, and potential disruption across energy, water, manufacturing, and other sectors. Why it matters: Demonstrates AI lowering the bar for ICS/OT attacks, accelerating real-world critical infrastructure risks.

2. ChatGPT gains Apple Messages plugin that can read, draft, and send iMessages Sources: TechCrunch · MacRumors

OpenAI launched a macOS plugin (Aug 20) letting ChatGPT Work/Codex search, analyze, draft, and (with approval) send iMessage/SMS/RCS messages locally on Apple Silicon Macs. Why it matters: Advances agentic desktop automation into personal messaging, raising privacy and permission questions.

3. OpenAI previews Private Safety Processing for zero data retention on frontier models Sources: OpenAI · Axios

OpenAI announced (Aug 19) Zero Data Retention for eligible API customers plus Private Safety Processing that detects misuse patterns across interactions without staff accessing prompts/responses; testing underway, broader rollout September. Why it matters: Resolves enterprise tension between safety monitoring and strict privacy for agentic/enterprise deployments.

4. Stripe acquires OpenRouter in ~$7.5–8B deal Sources: OpenRouter · New York Times

Stripe agreed (Aug 19) to acquire OpenRouter, the multi-model routing/marketplace processing 10+ trillion tokens daily across 400+ models for 10M+ users; product and integrations unchanged, close expected soon. Why it matters: Consolidates token routing, metering, and payments into a single infrastructure layer for AI-native SaaS.

5. Anthropic plans to let enterprises keep retention data on their own cloud Sources: Reuters · The Decoder

Anthropic plans (reported Aug 20) to revise its 30-day retention requirement for Mythos/Fable models so enterprises can store the data on their own infrastructure while still enabling safety monitoring; rollout later this year after work with 100+ customers. Why it matters: Responds to enterprise pushback and competitive pressure from OpenAI’s zero-retention approach.

6. Microsoft adds per-process AI/NPU monitoring to Windows 11 Task Manager Sources: The Register · Microsoft Tech Community

Microsoft updated Task Manager (announced ~Aug 19–20) with optional NPU, NPU Engine, dedicated/shared NPU memory columns and GPU neural engine visibility on supported devices. Why it matters: Gives developers and IT real-time insight into local AI workloads as on-device inference grows.

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