Thirty days. From add(7, 8) = 15 to a multi-tool agent grading itself across an eval suite with a weighted rubric. Same six prompts you saw on day 1 — rate yourself again.
What's next?
You have the patterns kit. Combined with Python Foundations (the language), Automation Foundations (acting on the world via Composio), and AI Foundations (calling LLMs), you can compose a script for any task you face — classify, extract, transform, route, decide, validate, iterate.
Beyond v1: AI Advanced would add embeddings, RAG (retrieval-augmented generation), model routing, response caching, production guardrails (PII detection, jailbreak resistance), and fine-tuning. All sit on top of the primitives you have now — they're refinements, not replacements.
What should I do this week?
Build something. Not a product — a small script for a real itch. Pick one task you do manually that has structure: triaging a list of items, drafting responses to a recurring kind of message, summarising a daily digest. Apply the patterns:
That's the move from "finished a track" to "can ship LLM features". The kit you have is enough.
24 small Python LLM-pattern scripts across four weeks plus two synthesis lessons. Your kit:
| Capability | Lessons |
|---|---|
| Tool calling fundamentals | L1 (why), L2 (schema), L3 (single), L4 (multi-step) |
| Reasoning patterns | L5 (CoT), L6 (few-shot CoT) |
| Pipelines | L8 (chained), L9 (classify-branch) |
| Validation + critique | L10 (validation), L11 (self-critique), L12 (moderation), L13 (eval criteria) |
| Agents | L15 (concept), L16 (loop), L17 (multi-tool) |
| Evals | L18 (suite), L19 (iteration), L20 (synthesis) |
| Production patterns | L22 (typed), L23 (retry+), L24 (rubrics), L25 (planning chains), L26 (agent + Composio), L27 (integration synthesis) |
Any LLM agent or pattern-using script you'll read or write is a composition of these.
Deferred to AI Advanced (when v1 expands):
You don't need any of these for your first dozen useful AI scripts. You have enough.
Nine tracks. Three layers:
After eight tracks you can compose. After all nine you can compose with the production primitives. The platform's promise is the kit, not the prebuilt product.
Pick a real itch. Apply the kit. The discipline is:
Rate the prompts below as honestly as you did on day 1.
Thirty days. From add(7, 8) = 15 to a multi-tool agent grading itself across an eval suite with a weighted rubric. Same six prompts you saw on day 1 — rate yourself again.
What's next?
You have the patterns kit. Combined with Python Foundations (the language), Automation Foundations (acting on the world via Composio), and AI Foundations (calling LLMs), you can compose a script for any task you face — classify, extract, transform, route, decide, validate, iterate.
Beyond v1: AI Advanced would add embeddings, RAG (retrieval-augmented generation), model routing, response caching, production guardrails (PII detection, jailbreak resistance), and fine-tuning. All sit on top of the primitives you have now — they're refinements, not replacements.
What should I do this week?
Build something. Not a product — a small script for a real itch. Pick one task you do manually that has structure: triaging a list of items, drafting responses to a recurring kind of message, summarising a daily digest. Apply the patterns:
That's the move from "finished a track" to "can ship LLM features". The kit you have is enough.
24 small Python LLM-pattern scripts across four weeks plus two synthesis lessons. Your kit:
| Capability | Lessons |
|---|---|
| Tool calling fundamentals | L1 (why), L2 (schema), L3 (single), L4 (multi-step) |
| Reasoning patterns | L5 (CoT), L6 (few-shot CoT) |
| Pipelines | L8 (chained), L9 (classify-branch) |
| Validation + critique | L10 (validation), L11 (self-critique), L12 (moderation), L13 (eval criteria) |
| Agents | L15 (concept), L16 (loop), L17 (multi-tool) |
| Evals | L18 (suite), L19 (iteration), L20 (synthesis) |
| Production patterns | L22 (typed), L23 (retry+), L24 (rubrics), L25 (planning chains), L26 (agent + Composio), L27 (integration synthesis) |
Any LLM agent or pattern-using script you'll read or write is a composition of these.
Deferred to AI Advanced (when v1 expands):
You don't need any of these for your first dozen useful AI scripts. You have enough.
Nine tracks. Three layers:
After eight tracks you can compose. After all nine you can compose with the production primitives. The platform's promise is the kit, not the prebuilt product.
Pick a real itch. Apply the kit. The discipline is:
Rate the prompts below as honestly as you did on day 1.
Create a free account to get started. Paid plans unlock all tracks.