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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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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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