AI Agent Build Kit
The patterns that separate an agent that demos from one that holds up.
Ten engineering patterns for production agents — the loop itself, tools that fail loudly, structured output you can trust, retries, context growth, evaluation, approval gates, multi-agent trade-offs, cost ceilings and observability. Each one names a specific failure, shows runnable code, lists how it still breaks, gives you a test you can run, and says when not to use it. Web access, updated as patterns are added.
One payment. No renewal. New patterns included.
3 are readable in full first — read them before deciding.
We already sell agent projects. Read this before paying.
The AI Project Vault has twelve project specifications, three of them agents, and it tells you what to build and in what order. If you have not built an agent yet, buy that one instead — this will be abstract to you and you will not get your money’s worth.
This is the other half: what happens when the thing you built meets real input. The tool that returns an empty string and gets believed. The loop that never terminates. The context that runs out at step fifteen of a twenty-step task. The agent with permission to send email. None of those show up in a demo, and all of them show up in production.
What every pattern carries
All six, for all 10. Across 6 areas: Foundations, Tools, Reliability, Evaluation, Cost, Shipping.
A specific failure
Not "agents can be unreliable" — the actual thing that breaks, and what it looks like in your logs.
The pattern in prose
The approach explained before any code, so you can judge whether it fits.
Code that runs
Provider-agnostic where it can be, and explicit about which provider it assumes where it cannot.
How it STILL fails
Every pattern here has residual failure modes written down. A pattern presented as a solution is a pattern you will misapply.
A test you can run
A pattern you cannot verify is a belief. Each one names the check.
When not to use it
Every pattern costs latency, complexity or money. Applied everywhere, it is worse than nothing.
The 10 patterns
| Pattern | Area | Access |
|---|---|---|
| The agent loop, without the mystique | Foundations | Free |
| Tools that fail loudly, not silently | Tools | Free |
| Structured output you can actually trust | Reliability | Free |
| Retries that help, and retries that make it worse | Reliability | Included |
| Context that does not grow forever | Cost | Included |
| Evaluating an agent when there is no single right answer | Evaluation | Included |
| Approval gates for anything irreversible | Shipping | Included |
| Multi-agent systems, and when one agent is better | Foundations | Included |
| Cost control that survives your first real user | Cost | Included |
| Observability: reading what the agent actually did | Shipping | Included |
Who this is not for
- You want project ideas. This is the engineering underneath them — the Project Vault is the one with things to build, and three of its specifications are free.
- You have never built an agent. Read the three free patterns first; if the agent loop is unfamiliar, start there and come back when something has broken.
- You want a framework tutorial. This is deliberately framework-light: the patterns are the thing that stays true when you change framework, which people do.
- You want volume. There are 10. Ten patterns you apply beat fifty you skim, and the count is read from the source so it cannot quietly inflate.
Questions
How is this different from the AI Project Vault?
The Vault is what to build: twelve project specifications, each with an architecture and a build order. This is why what you built falls over — the loop, the tool that returned an empty string, the context that ran out at step fifteen, the agent that sent the wrong email. If you have not built an agent yet, the Vault is the better first purchase. If you have one that works in a demo and not on real input, this is the one.
Can I read one first?
Yes — 3 are readable in full, with nothing held back: the problem, the pattern, the code, the failure modes, the test and the caveat. They are the same depth as the paid 7. If they are not useful to you, the rest will not be either.
Which language and which provider?
Python, and the examples use Anthropic's SDK where a provider is needed — the tool-calling shape is the same for OpenAI and Gemini and the patterns say where it differs. The patterns themselves are not provider-specific: a budget ceiling and a trajectory log work the same everywhere.
Does it cover LangGraph or CrewAI?
Deliberately lightly. Frameworks change and the patterns do not — the first pattern is the agent loop written without one, precisely so the rest is debuggable whichever framework you end up using. The multi-agent pattern is mostly about when not to reach for one.
Do I get later additions?
Yes. One payment, and patterns added afterwards are included. It is also part of the all-access pass, which covers this, the Project Vault, the Prompt Vault and the Career Kit.
Reviews
Nobody has reviewed this yet — it has only just gone live. If you buy it and it helps, or does not, we would rather have the real version than a good one.
Write the first review10 patterns, ₹499, once
Read the 3 free ones first. They are the same depth as the rest, which is the point — if they do not help you, this will not either.