First AgentField Guide
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○ Weekend build

Edition 01 · 2026

Build your first AI agentin a weekend.

A hands-on, text-and-code guide. From a blank file to a shipped, working agent in two days.

See what's inside

₹499 one-time · 60 pages · PDF + source repo

○ What's inside

Four chapters.One working agent.

Each chapter ends with code that runs. No slides, no theory detours — you read, you type, it works.

04 chapters · 60 pages · 4.2 MB

01ch01.pdf · 0.9 MB

The agent loop

Observe, think, act, repeat. You build the core loop from a blank file and learn exactly when to stop it.

  1. 01.1What an agent actually is
  2. 01.2The observe–think–act loop
  3. 01.3Stop conditions that hold
  4. 01.4A working agent in 40 lines
14 pages · code included
02ch02.pdf · 1.2 MB

Tool / function calling

Give the model hands. Define tools, parse calls, handle failures, and let it chain steps on its own.

  1. 02.1Tool schemas models follow
  2. 02.2Parsing and validating calls
  3. 02.3Search, files, HTTP
  4. 02.4Recovering from bad calls
18 pages · 3 working tools
03ch03.pdf · 1.1 MB

Giving it memory

Short-term context that doesn't overflow, and a long-term store it can search when it needs to.

  1. 03.1Context windows, budgeted
  2. 03.2Summaries that keep what matters
  3. 03.3A small vector store
  4. 03.4Recall on demand
16 pages · code included
04ch04.pdf · 1.0 MB

Shipping it live

Guardrails, cost caps, logs, and a deploy to a real URL you can send to someone.

  1. 04.1Retries, limits, cost caps
  2. 04.2Logging every step
  3. 04.3Deploy to a live URL
  4. 04.4What to build next
12 pages · deploy scripts

○ The weekend

Two days.Eight sessions.

Sat

Day 01 · ~8 hrs

09:00

Set up

Keys, repo, first model call.

11:00

The loop

Observe, think, act — by hand, then in code.

14:00

Tools

Search, files, HTTP. It starts doing things.

17:00

Checkpoint

An agent that finishes a task on its own.

Sun

Day 02 · ~8 hrs

09:00

Memory

Context budgets and a store it can search.

12:00

Guardrails

Retries, limits, a hard cost cap.

15:00

Ship

Deploy to a live URL.

18:00

Done

Something real to show on Monday.

○ Who it's for

Honest about fit.

For you if

  • You write Python or JavaScript comfortably.
  • You've called an LLM API — or want to, properly.
  • You'd rather build than watch videos.
  • You can clear two days on the calendar.

Not for you if

  • You want a no-code tool.
  • You're after ML theory or model training.
  • You want a certificate at the end.
  • You need live classes or a cohort.

○ From an early reader

“I'd read three blog posts and still couldn't get a tool call to loop properly. By Sunday evening I had an agent triaging my inbox — deployed.”
Backend engineer, PuneFinished in 2 days

○ Get it

₹499

One-time · ≈ US$6 · no subscription

  • 01The 60-page guide — PDF and web
  • 02Full source repo, chapter by chapter
  • 03Deploy scripts and a cost-cap template
  • 04Every update to v1, free

Secure checkout by Razorpay — UPI, cards, netbanking, international cards. The download link arrives by email right after.

○ Questions

Before you buy.

No. If you can write a function and call an API, you have enough. Every concept is explained at the point you need it.

Python, with a TypeScript version of every core file in the repo. Examples use a hosted LLM API; switching providers means editing one file.

Usually a few dollars across the whole weekend. Chapter 04 shows you how to set a hard spending cap before you deploy.

Checkout runs on Razorpay — UPI, cards, netbanking, and international cards. The download link and repo invite arrive by email right after payment.