Thursday, June 4, 2026 · San Francisco
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Strategic AI Intelligence from San Francisco
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Napkin AI Bets Workers Need Graphics Before They Need Full Decks

Napkin AI Bets Workers Need Graphics Before They Need Full Decks

Napkin AI has a narrower pitch than most AI presentation tools: it turns selected work text into editable diagrams, charts and slide graphics that move into decks, reports and posts. The article maps where the tool fits, what the free and paid plans include, how it compares with Gamma, Canva, Miro and Lucidchart, and why buyers still need to watch input quality, output rights and the developer-preview API before they make it part of a team workflow.

By Marcus Schuler · 13 min read ·
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Claude-Mem Hit 80K Stars By Giving Your Second Session a Memory
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Claude-Mem Hit 80K Stars By Giving Your Second Session a Memory

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5 Tools & Workflows
Gemma 4 12B Brings Local Multimodal AI to 16GB Laptops
AI News

Gemma 4 12B Brings Local Multimodal AI to 16GB Laptops

Google's Gemma 4 12B looks like the local AI model many developers have been waiting for: multimodal, open-weights and small enough for 16GB laptops. The hardware story is tighter than the launch line suggests. Google's own table puts 8-bit weights at 13.4GB before context overhead, while the encoder-free design shifts more work into the model itself. For teams weighing privacy, latency and cloud bills, the next proof will come from real laptop tests.

11 min read ·
Odysseus Gives Local AI Users a Safer Way to Test an Agent Workspace
Tools & Workflows

Odysseus Gives Local AI Users a Safer Way to Test an Agent Workspace

PewDiePie’s Odysseus became the rare local AI project that ordinary users noticed, with a June 2 research snapshot showing nearly 30,000 GitHub stars. The safer first step is less exciting than the launch: run it on localhost, keep authentication on, use dummy data and understand why its own security guide treats shell, email, memory and model serving as privileged tools before any mailbox, API key or home network enters the test. That is where the risk starts.

10 min read ·
A Raspberry Pi Is the Durable Way to Run OpenClaw as Labs Narrow Model Access
Tools & Workflows

A Raspberry Pi Is the Durable Way to Run OpenClaw as Labs Narrow Model Access

OpenClaw's creator just joined OpenAI, the project is moving to a foundation, and the big labs are quietly narrowing the model access it depends on. The most control-preserving way to run a personal AI assistant in 2026 is a Raspberry Pi that costs about $100 and a few watts. The catch: the Pi only runs the gateway, the intelligence stays rented, and the security liability that used to be the vendor's now sits on your shelf.

11 min read ·
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Pi, the Coding Agent Behind the Harness-Engineering Hype, Explained

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Hermes Agent Installs in One Command. The Hard Part Is Deciding What It Can Touch.

Hermes Agent is not another chatbot wrapper. It is a server-side personal agent with memory, skills, tools, cron jobs, and chat channels. Here is how it works, what hardware it needs, where OpenClaw differs, and how to test it without over-permissioning it.

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Four GitHub Tools That Stop Claude, Codex, and Gemini From Shipping Bad Code

Four open-source tools fix four different failure modes in terminal AI. Superpowers teaches the agent how to work. Context7 feeds it current docs. Serena gives it IDE-grade code navigation. ccusage tells you what the other three cost. Here is how to install them and the commands that actually matter

7 Analysis
Claude-Mem Turns Claude Code Sessions Into Searchable Project Memory
Analysis 13 min read

Claude-Mem Turns Claude Code Sessions Into Searchable Project Memory

Claude-Mem turns Claude Code sessions into dated project memory, with hooks, SQLite, Chroma and MCP search doing the recall work. The upside is continuity across chats. The catch is that a plug-in becomes a local service with providers, logs and issue-tracker risks to monitor.

Claude-Mem gives Claude Code a durable memory by turning tool use into dated observations, then serving them back through MCP search. The setup can run with Claude, Gemini or OpenRouter, but it also brings a worker, local databases, provider calls and issue-tracker caveats. For developers, the appeal is obvious once a project crosses sessions. For teams, the harder question is whether the memory layer stays small, accurate and private after months of work

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