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Deep dives from the team building the execution infrastructure for AI agents. No fluff. Real numbers only.

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Pillar, economics

How We Reduced AI Agent Token Costs by 96.5%

Three real API calls, every number published. Read this first if cost is your problem.
Pillar, safety

AI Never Ships Broken Code

What it actually takes to stop an AI coding agent from committing code that does not compile. Read this first if safety is your problem.
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AI web scraping: a web page flows through one MCP connection where the AI parses it and returns clean structured rows
Guides9 min

AI Web Scraping: How It Works and How to Do It

A chat model cannot open a URL, and pasting HTML in is costly and wrong. Here is the reliable way to pull clean data from any website with AI.

UB
June 26, 2026Live
LLM observability: every step of an AI agent run captured so you can see and debug it
Guides8 min

LLM Observability: How to See What Your AI Agents Do

AI agents fail and overspend quietly. Observability is how you see every prompt, tool call, cost, and outcome, and control it.

UB
June 26, 2026Live
ChatGPT data analysis: your file flows through one connection where ChatGPT runs the analysis and returns the answer
Guides7 min

ChatGPT Data Analysis: How to Analyze Real Data

ChatGPT does real data analysis when it runs code on your files, not when it guesses from what you paste. How to do it right.

UB
June 26, 2026Live
AI data analysis: your data flows through one connection where the AI runs the analysis and returns the answer
Guides8 min

AI Data Analysis: How to Do It Without Code

A chat model guesses at your numbers. Here is how to let an AI run the real analysis on your data, no code, with a worked proof.

UB
June 26, 2026Live
Programmatic SEO: one data set and a template generating many targeted pages through one MCP connection
Guides8 min

Programmatic SEO: What It Is and How to Do It

Turn one data set into many targeted pages. Done well it captures huge long-tail demand. How to do it right, and do it with AI.

UB
June 26, 2026Live
Google Search Console API: your verified site data flowing through one MCP connection to your AI
Guides7 min

Google Search Console API: What It Does and How to Use It

The free, accurate source for how your own pages perform in Google. What it returns, its limits, and how to pull it into an AI.

UB
June 26, 2026Live
Comparison of SEO data APIs feeding into one MCP connection to your AI
Guides8 min

SEO Data APIs Compared

SEMrush, Ahrefs, DataForSEO, and Search Console all sell SEO data through an API. What each is best for, and a simpler way to pull them.

UB
June 26, 2026Live
Diagram of the Model Context Protocol connecting any AI to any tool through one standard
Guides7 min

Model Context Protocol: What It Is and Why It Matters

MCP is the open standard that lets any AI use any tool. What it is, why it exists, and how to start using it.

UB
June 26, 2026Live
MCP server diagram: your AI connects through one URL to run code, query data, search the web, and call any API, with safety below the agent
Guides7 min

MCP Server: What It Is and How to Connect One

An MCP server is how an AI model reaches the real world. What it does, how it works, and how to connect one to your AI in minutes.

UB
June 26, 2026Live
AI agent tools diagram: an agent node connected to its core tools to run code, reach data, search the web, and commit changes
Engineering6 min

AI Agent Tools: What an Agent Needs to Act

The tools that matter are not frameworks. They are the capabilities an agent calls to act: run code, reach data, search the web, and commit changes.

UB
June 20, 2026Live
AI agent infrastructure diagram: the model connected through an execution layer to run code, reach data, search the web, and commit changes
Engineering6 min

AI Agent Infrastructure: The Missing Layer

The execution layer your model is missing. The four capabilities an agent needs to act, and why safety has to live below the agent, not in the prompt.

UB
June 20, 2026Live
Diagram of an AI agent audit trail: an action passes a policy, cost and network gate, executes, and is recorded with who, when, action, data, policy and outcome
Engineering7 min

AI Agent Governance: The Audit Trail

Governance is the word, but the audit trail is the proof. What a complete record of an agent action must capture, and why it has to live below the model.

UB
June 13, 2026Live
Three tier risk ladder for AI agent actions with a human approval gate that sits below the model
Engineering8 min

When AI Agents Need Human Approval

Agents should not decide for themselves which actions are safe. How to classify agent actions by risk, and why the approval gate belongs below the model, not in the prompt.

UB
June 5, 2026Live
Compare two states: without a gate (Kiro deleted AWS, amazon.com lost six hours, Cline supply chain) versus with a gate (AI Agent through Validation Gate to Production)
Engineering7 min

When AI Agents Delete Production

Three AI agent failures from December 2025 to March 2026 share a root cause. Here is the pattern, and the three questions to ask before any AI agent touches production.

UB
June 4, 2026Live
Side-by-side comparison: AI shares your login on left (red) vs AI has its own scoped identity on right (green)
Engineering8 min

Why Your AI Should Not Log In As You

AI agents that share your user account turn every action they take into yours. Here is what separating their identity actually buys, and how to start doing it.

UB
June 3, 2026Live
One AI action at center with six audit field cards around it: prompt, context, considered, called, cost, outcome
Engineering8 min

Why AI Agents Need Their Own Audit Trail

AI agents do not fail like code. Their failures live in decisions, not exceptions. Here is what a useful audit trail for an AI agent actually records, and why.

UB
June 3, 2026Live
Workflow box stable in the middle, three swappable model chips on top, three stable customer system tiles below
Engineering8 min

AI Workflows That Outlast the Model

Models have an 18 month half life. Workflows tied to a specific model die at that cadence. Separate the work from the model and your stack compounds.

UB
June 3, 2026Live
Safe boundary between an AI and a production database with vault, cost cap, and network limit controls
Guides7 min

What Safe AI Database Access Looks Like

If your AI is going to read or write to your production database, three things should sit between them. None of those three are your model's job.

UB
June 3, 2026Live
Line chart of AI agent spend rising then flattening at a cost cap, with a dotted projection of the runaway path the cap prevented
Engineering7 min

Why AI Agent Costs Spiral

A single broken loop can drain your API credits before anyone notices. Monitoring catches it too late. The fix is a hard cap that runs before the spend.

UB
June 3, 2026Live
96.5% token reduction diagram: 4,024 chat tokens collapsing to 141 tokens when run in code
Engineering7 min

How We Reduced AI Agent Token Costs by 96.5%

Three real API calls. One with our platform, one without. We published every number. The result: 96.5% fewer tokens on a log analysis task.

UB
June 1, 2026Live
Validation gate blocking a Python file that does not compile while a verified build ships with a green check
Engineering8 min

AI Never Ships Broken Code: What That Actually Takes

Every AI coding agent can commit code that does not even compile. Here is what it actually takes to stop that, and how to use it well.

UB
June 2, 2026Live
AI connected by one URL to a set of tools: run code, web search, database, git commit
Guides6 min

How to Connect a Code Tool to Your AI

One URL. Paste it into Claude, ChatGPT, or any MCP compatible AI and your agent can run code, search the web, and use a database. Step by step.

UB
June 3, 2026Live
Diagram of MCP requests to internal network and wallet blocked at a wall while an allowed request passes with a green check
Security8 min

What MCP Security Actually Takes

MCP lets agents run code, reach networks, and spend money. Everyone says that is dangerous. Here is what the controls that make it safe actually look like.

UB
June 3, 2026Live
AI agent reporting Done with a green check while step 3 below is skipped in red, showing the gap between claimed and actual success
Engineering7 min

Why AI Agents Lie About Success

An agent reporting done is not the same as the task being done. It can skip a step, corrupt state, or ship broken work and still say success. Here is how to verify it.

UB
June 3, 2026Live
Bar chart comparing prompt optimization saving 8 percent versus moving the work into code saving 96.5 percent
Engineering7 min

Why Token Reduction Beats Prompt Optimization

Prompt and schema tweaks shave a little off the top. Moving the work into code is the order-of-magnitude drop. Here is why.

UB
June 3, 2026Live
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