The Agentic Intelligence Report
BREAKING
Evaluate Clinical ASR Models Faster with Agent Skills and NVIDIA Nemotron Speech (NVIDIA Developer Blog)•PathoSage: Towards Multi-Source Evidence Adjudication in Pathology via Experience-Aware Agentic Workflow (arXiv cs.AI)•How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces (Hugging Face Blog)•Syll: Open-Source Personal Automation with Cross-Surface Execution (arXiv cs.AI)•Contract2Tool: Learning Preconditions and Effects for Reliable Tool-Augmented LLM Agents (arXiv cs.AI)•When AI builds itself - Anthropic (Anthropic News)•Apple is embracing the fantasy of AI photo editing (The Verge AI Feed)•SpaceX wants to put data centers in orbit, and Musk says it's no big deal (The Decoder AI)•Sandstone raises $30M to bring AI to in-house legal teams (TechCrunch AI)•Landmark German ruling declares Google's AI Overviews are Google's own words and makes it liable for false answers (The Decoder AI)•Evaluate Clinical ASR Models Faster with Agent Skills and NVIDIA Nemotron Speech (NVIDIA Developer Blog)•PathoSage: Towards Multi-Source Evidence Adjudication in Pathology via Experience-Aware Agentic Workflow (arXiv cs.AI)•How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces (Hugging Face Blog)•Syll: Open-Source Personal Automation with Cross-Surface Execution (arXiv cs.AI)•Contract2Tool: Learning Preconditions and Effects for Reliable Tool-Augmented LLM Agents (arXiv cs.AI)•When AI builds itself - Anthropic (Anthropic News)•Apple is embracing the fantasy of AI photo editing (The Verge AI Feed)•SpaceX wants to put data centers in orbit, and Musk says it's no big deal (The Decoder AI)•Sandstone raises $30M to bring AI to in-house legal teams (TechCrunch AI)•Landmark German ruling declares Google's AI Overviews are Google's own words and makes it liable for false answers (The Decoder AI)
MARKETS
NVDA $208.19 ▼ -2.43•MSFT $403.41 ▼ -5.62•AAPL $290.55 ▼ -9.72•GOOGL $364.26 ▼ -2.83•AMZN $244.19 ▼ -3.54•META $584.59 ▼ -6.41•AMD $475.50 ▼ -27.25•AVGO $392.16 ▼ -9.45•TSLA $396.68 ▼ -14.35•PLTR $132.07 ▼ -2.80•ORCL $205.81 ▼ -8.09•CRM $175.35 ▼ -4.15•SNOW $239.66 ▲ +0.66•ARM $324.86 ▼ -37.39•TSM $427.92 ▼ -2.96•MU $935.89 ▼ -52.28•SMCI $40.64 ▼ -4.26•ANET $152.16 ▼ -5.59•AMAT $499.21 ▼ -2.51•ASML $1777.77 ▲ +1.15•CIEN $439.34 ▼ -26.57•NVDA $208.19 ▼ -2.43•MSFT $403.41 ▼ -5.62•AAPL $290.55 ▼ -9.72•GOOGL $364.26 ▼ -2.83•AMZN $244.19 ▼ -3.54•META $584.59 ▼ -6.41•AMD $475.50 ▼ -27.25•AVGO $392.16 ▼ -9.45•TSLA $396.68 ▼ -14.35•PLTR $132.07 ▼ -2.80•ORCL $205.81 ▼ -8.09•CRM $175.35 ▼ -4.15•SNOW $239.66 ▲ +0.66•ARM $324.86 ▼ -37.39•TSM $427.92 ▼ -2.96•MU $935.89 ▼ -52.28•SMCI $40.64 ▼ -4.26•ANET $152.16 ▼ -5.59•AMAT $499.21 ▼ -2.51•ASML $1777.77 ▲ +1.15•CIEN $439.34 ▼ -26.57
Education Track
Hermes Agent
A professional guide to installing, understanding, and using Hermes Agent as a structured agent workspace.
Structured Agent Workspace
Hermes is for builders who want a legible agent system, not vague autonomy theater.
Hermes Agent is a real operating environment from Nous Research. It combines a CLI, tools, memory, skills, and optional gateways into one system you can gradually teach and harden over time.
What It Is
CLI workspace
Hermes is easiest to understand in the terminal first. That is where you see the real operating loop instead of hiding it behind a chat surface.
What It Is
Skills + memory
Its long-term value is not one brilliant run. It is the ability to save patterns, retain useful context, and reuse workflows cleanly.
What It Is
Tool discipline
Hermes gets stronger when you deliberately choose the smallest useful toolset, then expand only after the workflow is stable.
Install Hermes
Step-by-step setup
Use the official install path, then configure the model and tools before you test anything ambitious.
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
source ~/.zshrc # or: source ~/.bashrc
hermes
hermes setup
hermes model
hermes tools
hermes doctorNative Windows is not the primary path here. Use WSL2 if you are on Windows and want the most reliable start.
Before You Start
What a human should understand first
- Hermes Agent is not the same thing as “the Hermes model.”
- The CLI is the cleanest learning surface.
- Keep the toolset small until the behavior is understandable.
- Use diagnostics early instead of guessing through a bad setup.
First Session
What to do in the first 30 minutes
The first win should be boring, reviewable, and easy to repeat.
1
Install Hermes Agent
Run the official bootstrap script, reload your shell, and confirm the `hermes` command launches.
2
Run setup immediately
Do not improvise your first run. Configure the model, tools, and environment before you hand it real work.
3
Stay in the CLI
Keep the first sessions in the terminal so you can see the true workflow before adding messaging or automation.
4
Use one bounded task
Start with a concrete task you can review in minutes, not a vague “be my assistant” request.
How To Use It
Good first tasks
Repo orientation, drafting, summarization, structured planning, and reusable workflow design.
How To Use It
Avoid at first
Broad system control, publishing, irreversible commands, or any task where you do not already know how success should look.
How To Use It
Professional habit
Ask Hermes to plan first, keep outputs reviewable, and save only the patterns that survive repeated use.
Prompt Scaffold
A clean way to ask Hermes for work
Task: [one bounded objective]
Context:
- Working directory or project:
- Relevant files or source material:
- Constraints:
- Tools you may use:
Success criteria:
- What a good result looks like:
- What must not happen:
Review loop:
- Show the plan first if the task is multi-step
- Flag assumptions and uncertainty
- Ask before risky or irreversible actionsLearning Sprint
A better way to learn Hermes
Install and boot the CLI
Run one bounded task and write down what drifted
Trim the toolset and rerun the same task
Save one working pattern as a reusable skill or SOP
Try a second workflow and compare transfer quality