Knowledge as of Nov 12, 2026
The Inference TimesReference architectures, tutorials, demos and free skills — by Nitin Goswami
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Reference Architecture · Agents

CoALA: how language agents remember, decide and act

A reference architecture for thinking about any LLM agent: three kinds of long-term memory, a working memory where the model reasons, an action space, and a decision cycle that ties them together. Explained with two diagrams and one worked example.

Agent frameworks use the same words for different things. "Memory" might mean the chat history, a vector database or a fine-tuned model. "Planning" might be one prompt or a search over many. Without shared vocabulary, two designs are hard to compare and gaps are hard to spot.

Posts

Design

Building Minimalist UIs in 2024

Exploring the principles of minimalist design and how to apply them in modern web applications.

Reference Architectures

Reference Architectures

Reference Architecture · Agents

Agent memory over MCP: giving any model a long-term memory it can call

Agent memory over MCP puts an assistant's long-term memory in its own small server, so that any app that speaks the Model Context Protocol can save facts and look them up again. Explained with three diagrams and one worked example.

Reference Architecture · Voice AI

Grounded voice insight: turning recorded speech into claims you can check

A pattern for getting judgements out of recorded conversations that a reader can verify: transcribe, measure what can be counted, let an LLM judge the rest with quotes, and check every quote against the transcript before showing it. Explained with two diagrams.

Reference Architecture · Agents

What is an internal agent SDK? One shared way for many teams to build AI agents

A shared toolkit that lets every team in a company build AI agents the same safe way: each team writes only what is unique to its agent, and the SDK supplies the checks, the step-by-step runner, saved progress, human sign-off, model access and cost limits. Explained with two diagrams.

Tutorials
Demos

Free Skills

Agent skills I built and give away. Install them and use them.

Free Skill · v1.0.0

linkedin-tech-carousel: one mechanism, three slides

A Claude skill that turns one technical idea into a 3-slide LinkedIn carousel with a real diagram on every slide: a swipeable PDF, PNGs at exact feed size, and post copy ready to paste.

  • claude-code
  • claude-ai
git clone https://github.com/nitingoswami-io/claude-skills.git cp -r claude-skills/linkedin-tech-carousel ~/.claude/skills/linkedin-tech-carousel python3 -m pip install -r claude-skills/linkedin-tech-carousel/requirements.txt

Free Skill · v1.0.0

market-teardown: research in, a sourced verdict out

A Claude skill that compresses research you already have into a 1,500-word teardown of a market or startup idea: every figure sourced and dated, a bold verdict at the end, and a short companion post that sends readers to it without giving the verdict away.

  • claude-code
  • claude-ai
git clone https://github.com/nitingoswami-io/claude-skills.git cp -r claude-skills/market-teardown ~/.claude/skills/market-teardown

Free Skill · v1.1.0

arch-doc: reference architectures as concept explainers, always credited

The sibling of demo-doc for ideas rather than codebases: "what is an agent harness?", "what is AI Ops?". Seven tutorial-style sections, two or three hand-drawn diagrams, links to the demos that implement it, and credit to every original source.

  • claude-code
  • claude-ai
git clone https://github.com/nitingoswami-io/claude-skills.git cp -r claude-skills/arch-doc ~/.claude/skills/arch-doc