Field notes on AI that does real work.
Concrete writing on AI agents in Slack and Microsoft Teams, automating the tools your team already runs - Notion, Linear, Jira, Zendesk, GitHub - and what’s genuinely new in MCP, open models, and agents. No hype, no filler.
How Does LLM Tool Calling Actually Work?
LLMs don't execute code - they write a JSON note describing what should happen. Here's the full loop: schema, token prediction, constrained decoding, and your code doing the real work.
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The archive
- How Does RAG Work, From Document to Grounded Answerai stack deep-dive5 min
- OpenClaw's Mobile App Gets the Architecture Rightopen source agents5 min
- A Slack Incident Channel Runbook That Actually Gets Runincident management5 min
- Run GLM-5.2 as Your Coding Agent Before Trusting the Benchmarksfrontier models6 min
- The Procurement Risk Hidden in Every AI Benchmark Scoreai evaluation6 min
- Can a Voice Agent Replace Your Three-API Call Stack?voice agents5 min
- On-Call Rotation Burnout Is an Alerting Problem, Not a Rota Problemai-at-work5 min
- How LLM Evals Work, From Test Case to Gradeai evals6 min
- Get Your Jira Slack Integration Past the Notification Wallintegration5 min
- What the SWE-bench Collapse Tells You About AI Leaderboardsfrontier evals6 min
- Does a Coding Agent Actually Change How Engineers Work?agentic coding6 min
- Model Distillation Cuts Inference Cost When the Task Is Lockedfrontier models5 min
- The LLM Context Window, From Token Count to Real Behaviorai fundamentals6 min
- Pick an Open-Weight Model Before You Sign Another API Contractopen models7 min
- Writing an Incident Postmortem in Slack Without Losing the Threadincident response6 min
- What Makes OpenCode the Most-Starred Coding Agent?open source agents5 min
- Most MCP Servers Are Not Safe to Connect to an Agentmcp security6 min
- The Persistent Memory Problem China Just Made Visibleai agents6 min
- Get Your AI Meeting Notes to Actually Drive Actionai-at-work6 min
- Your AI Forgot What You Said an Hour Ago. Here's Why.ai infrastructure6 min
- Can Notion AI Actually Answer Questions in Slack?integration6 min
- Poolside Laguna XS 2.1 Runs Agentic Coding on One GPUopen-weight models5 min
- AI Agents in Production Are Harder Than the Demos Suggestai agents6 min
- Read AI Benchmark Scores Like the GPT-5.6 Sol Evalfrontier evals6 min
- How AI Agent Memory Works, From Query to Retrieved Factdeep-dive5 min
- Should You Fine-Tune or Write a Better Prompt?ai models, agents6 min
- Product Launch Update Slack Channel: A Field Playbooklaunch playbook6 min
- AI Inference Cost: Why Cheaper Tokens Raise Your Billinference economics7 min
- Stop Treating Self-Hosted AI as the Default Privacy Answerai privacy6 min
- Claude Sonnet 5 Raises the Floor on Agentic Codingagentic coding6 min
- Can AI Actually Keep a Decision Log Without You?ai-at-work5 min
- Prompt Caching Cuts Your LLM Input Bill by Up to 90%ai infrastructure5 min
- The Read-Only Wall in Your HubSpot Slack Integrationintegration6 min
- Pick Your Open-Source Coding Agent Before the Ecosystem Shifts Againfrontier tools5 min
- GitHub Copilot Usage-Based Billing Changed How Agents Costagentic coding5 min
- Does the MCP 2026-07-28 Release Candidate Break Your Server?frontier protocol8 min
- How LLM Tool Calling Works, From Token to Executionai stack deep-dive5 min
- AI Model Export Control Risk Is Now an Ops Problemai governance5 min
- Run New Hire Onboarding in Slack Without Dropping the Threadonboarding playbook5 min
- Agent-to-Agent Protocol: What A2A Actually Doesfrontier protocols6 min
- Is Chat the Wrong Interface for AI Agents?ai agents6 min
- Hermes Agent Reaches Slack and Teams With Persistent Memoryopen-source agents6 min
- AI Sales Handoffs: What Actually Changes for AE-to-CSM Handoffsai-at-work6 min
- Understand AI Agent Sandboxing Before Your Agent Writes Codeai agents6 min
- When a Figma Comment Lands in Slack With No Contextintegration6 min
- Can DeepSeek V4 Flash Replace a Frontier Model in Your Agent Pipeline?frontier models5 min
- Claude Sonnet 5 Is Built for Agents, Not Just Better Chatmodel releases6 min
- GLM 5.2: What the Open-Weight Leader Actually Does Differentlyfrontier models6 min
- Teach Your AI Agent to Remember Across Sessionsagent memory7 min
- When Your AI Agent Asked X What the Market Thinksmcp ecosystem5 min
- What Should an On-Call Handoff in Slack Actually Contain?incident ops6 min
- MiniMax M3 Open-Weight Model: What the Numbers Actually Meanfrontier models5 min
- The SaaS Moat That Actually Survives AI Agentsai agents, saas7 min
- Publish Your ai-catalog.json Before Agents Hard-Code Around Youagent infrastructure4 min
- The Slack DM a CSM Sends the Morning After a Deal Closesai-at-work6 min
- What Do AI Evals Actually Measure?ai evals7 min
- Jira Slack Integration: What Works and Where It Breaksintegration6 min
- Kimi K2.6: The Open-Weight Model Built for Long Agent Runsfrontier models5 min
- Trim Your MCP Server List Before It Trims Your Agentmcp security6 min
- Why Cheaper Tokens Made Your AI Bill Worseinference economics6 min
- How Does an LLM Context Window Actually Work?ai fundamentals6 min
- Self-Hosted AI Agent Security: What OpenClaw Exposedai agents6 min
- AI Incident Postmortem Playbook for Slack Channelsincident response6 min
- Run GLM 5.2 Before You Renew That Claude Contractfrontier models6 min
- AI Agents Per-Seat Pricing: The Model Is Already Brokenai economics6 min
- What Happens When Your AI Model Gets Switched Off?ai reliability6 min
- AI Support Ticket Triage Cuts Misrouting by Halfai-at-work5 min
- How RAG Works: From Your Question to Retrieved Textai stack deep-dive6 min
- Keep Your Notion Workspace From Becoming a Ghost Townnotion workflow6 min
- Open-Weight vs Closed Frontier Models: What the Bill Actually Showsfrontier models6 min
- What Does GPT-5.6 Sol's Ultra Mode Mean for Your Agent Stack?ai agents5 min
- MCP 2026-07-28 Release Candidate Has Breaking Changesprotocol releases6 min
- Prompt Caching in LLMs: What It Does to Your API Billai infrastructure7 min
- Give Your AI Agent Only the Permissions It Can Justifyagentic ai security6 min
- The Slack Message Nobody Writes Before the Feature Shipslaunch playbook5 min
- What Does the MCP Stateless Spec Actually Change for Your Team?protocol6 min
- Agentic Coding Workflow Demands Context, Not Better Promptsengineering workflow6 min
- Apple Core AI and the Case for On-Device Inference at Workon-device ai5 min
- Write Better On-Call Handoff Notes With AI Doing the Draftingai-at-work5 min
- How LLM Tool Calling Works at the Token Levelai stack deep-dive6 min
- Why Does Your GitHub PR Review Still Live in Two Places?integration6 min
- Fine-Tuning vs Prompting for Narrow Tasks: When to Switchmodel fine-tuning6 min
- The AI Agent Deployment Gap Nobody Is Talking Aboutai agents6 min
- Understand the Nous Research Hermes Open-Weight Model Linefrontier models6 min
- The Slack Message That Sent an API Call Nobody Typedai fundamentals7 min
- Can Your AI Coding Agent Be Hijacked by a Bug Report?ai security5 min
- New Hire Slack Channel Onboarding, Done Without the Manual Workonboarding playbook6 min
- Hermes Desktop and the Self-Improving Open-Source Agentfrontier tools6 min
- Stop Picking AI Models From the Top of a Leaderboardmodel selection6 min
- Claude Tag puts an always-on AI teammate in Slacknews5 min
- Open Source AI Coding Agent OpenCode Hits 172k Stars as Copilot Bills by Tokencoding agents6 min
- Does Your AI Meeting Notes Tool Actually Close the Loop?ai-at-work5 min
- How AI Agent Memory Actually Works Under the Hoodai stack deep-dive5 min
- Figma Design-to-Developer Handoff, Honestly Assessedintegration6 min
- Pick an Open-Weight Model Based on What the Gap Data Showsfrontier models6 min