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The Agentic Intelligence Report
BREAKING
Simulated students that make realistic mistakes help AI tutors learn faster (The Decoder AI)•Unity launches official plugins for Claude Code and OpenAI Codex to stop AI agents from using outdated tutorials (The Decoder AI)•Google Deepmind's Dream-RSI helps AI agents improve by “dreaming” about past attempts (The Decoder AI)•Measurements for understanding the pace of AI development inside frontier labs - Anthropic (Anthropic News)•Is the AI industry really ready to slow down? (TechCrunch AI)•No one is surprised that Nvidia’s Jensen Huang thinks AI fears are overblown. (The Verge AI Feed)•Trump now says he wants to form an ‘AI Force’ (The Verge AI Feed)•Tencent's Gander aims to keep talking while it works in the background (The Decoder AI)•US Federal Register Caught Using Chinese AI Model for Document Search (Futurism AI)•Humans, not rogue AI, are still the biggest cybersecurity risk to energy systems (The Verge AI Feed)•Simulated students that make realistic mistakes help AI tutors learn faster (The Decoder AI)•Unity launches official plugins for Claude Code and OpenAI Codex to stop AI agents from using outdated tutorials (The Decoder AI)•Google Deepmind's Dream-RSI helps AI agents improve by “dreaming” about past attempts (The Decoder AI)•Measurements for understanding the pace of AI development inside frontier labs - Anthropic (Anthropic News)•Is the AI industry really ready to slow down? (TechCrunch AI)•No one is surprised that Nvidia’s Jensen Huang thinks AI fears are overblown. (The Verge AI Feed)•Trump now says he wants to form an ‘AI Force’ (The Verge AI Feed)•Tencent's Gander aims to keep talking while it works in the background (The Decoder AI)•US Federal Register Caught Using Chinese AI Model for Document Search (Futurism AI)•Humans, not rogue AI, are still the biggest cybersecurity risk to energy systems (The Verge AI Feed)
MARKETS
NVDA $222.27 ▲ +2.92•MSFT $493.78 ▼ -4.19•AAPL $336.13 ▼ -1.77•GOOGL $349.54 ▼ -7.76•AMZN $253.71 ▲ +0.79•META $665.75 ▼ -22.87•AMD $559.82 ▲ +12.45•AVGO $357.61 ▲ +5.53•TSLA $364.27 ▼ -4.73•PLTR $177.64 ▲ +0.46•ORCL $147.61 ▼ -2.86•CRM $237.92 ▼ -6.33•NVDA $222.27 ▲ +2.92•MSFT $493.78 ▼ -4.19•AAPL $336.13 ▼ -1.77•GOOGL $349.54 ▼ -7.76•AMZN $253.71 ▲ +0.79•META $665.75 ▼ -22.87•AMD $559.82 ▲ +12.45•AVGO $357.61 ▲ +5.53•TSLA $364.27 ▼ -4.73•PLTR $177.64 ▲ +0.46•ORCL $147.61 ▼ -2.86•CRM $237.92 ▼ -6.33
OpenClaw Masterclass
OpenClaw: Complete Install + Training Module
Beginner-to-production walkthrough with exact steps, commands, verification checks, and hardening guidance.
OpenClaw In Context
OpenClaw is best used as an operator-assisted coding agent. It accelerates execution, but outcomes improve dramatically when tasks are scoped tightly and reviewed by a human.
Operator Workflow
Define a bounded objective, run one task at a time, inspect diffs, then iterate. Treat every run as a change proposal, not an automatic deployment.
Safety + Reliability
Use branch isolation, test gates, limited credentials, audit logs, and rollback plans. Keep production access minimal until behavior is proven stable.
What To Learn First
Master environment setup, prompt scoping, diff review, and failure recovery before scaling to larger repository automation.
Prompt Engineering Template
Goal: [single outcome]
Scope: [allowed files/tools only]
Constraints: [no deletes, no secrets, tests required]
Output: [diff + rationale + rollback plan]Creator Credit
OpenClaw is built by the OpenClaw creators and maintainers. Primary project links: openclaw.ai and github.com/openclaw/openclaw.
Logo source comes from the official OpenClaw repository README assets.
Step 1
Install prerequisites
Install Git, Python 3.11+, and pip. Verify: git --version, python3 --version, pip3 --version.
Step 2
Clone repository
Run: git clone https://github.com/openclaw/openclaw.git then cd openclaw.
Step 3
Create virtual environment
Run: python3 -m venv .venv and source .venv/bin/activate.
Step 4
Install dependencies
Run: pip install --upgrade pip then pip install -r requirements.txt.
Step 5
Set API keys
Export model credentials, e.g. OPENAI_API_KEY and ANTHROPIC_API_KEY in your shell.
Step 6
Run diagnostics
Run: python -m openclaw --help and python -m openclaw doctor. Resolve all critical warnings.
Step 7
Run first task
Run: python -m openclaw run --task "Summarize this repo and propose one safe refactor."
Step 8
Review every change
Run: git status and git diff. Accept only intentional modifications.
Step 9
Production hardening
Use branch isolation, CI checks, scoped permissions, logs, and approval gates before deployment.
Troubleshooting Quick Hits
- Dependency errors: rebuild venv and reinstall pinned requirements.
- Permission failures: verify path scope and shell user rights.
- Provider auth issues: confirm env var names and active keys.
- Unstable output: reduce scope and add concrete acceptance criteria.
Command Snippets
# smoke check
python -m openclaw --help
# bounded run
python -m openclaw run --task "summarize repo and propose one safe refactor"
# inspect changes
git status && git diff