Agentic Blueprints 40

A supervisor decides who works next — a researcher who searches or a coder who edits the repo — and assembles the result when the work is done.

Splits a hard question into sub-questions, researches them in parallel to keep the wall-clock low, then synthesizes one brief with citations.

Retrieval that doesn't trust its first search: it grades the results, rewrites the query when they're weak, and only answers once the context is good.

Turns a user story into browser tests: plans the scenarios, writes Playwright code, runs it against the real page, and self-heals until it passes for the right reason.

A failed data job triggers three probes in parallel, then a fixer and verifier loop on a patch until it passes a dry run — and open a PR.

Diff-aware multi-pass reviewer: finds bugs, then a skeptic agent verifies each before reporting.

Reads a GitHub issue and loops a coder against a verifier until it produces a minimal failing test that actually reproduces the bug.

A Sentry alert fans out to three investigators at once, then a commander writes the root-cause hypothesis and posts a status to Slack.

A planner breaks a goal into steps, an executor works them one at a time, and a replanner adjusts the plan as reality comes back — until it's done.

Answers questions about a codebase with citations to the exact file — and says so honestly when the answer isn't in the repo.

A new lead is enriched from the web and your CRM at once, scored against your ICP, and — if it fits — gets a tailored first email you approve before send.

A generator drafts, a critic tears it apart, the generator revises — repeat until the critic has nothing left to flag. Quality through self-review.

A scheduled sweep that reads competitor pricing, changelogs, and news in parallel, diffs against last week, and writes only what changed.

Turns a meeting transcript into a summary, then files the action items as tracked tickets and calendar follow-ups in parallel — and posts the recap.

Extracts a contract's clauses, checks each against your playbook, and loops a redliner against a reviewer until it's clean — then a lawyer approves.

Pulls Stripe charges and your warehouse's invoice records for the period in parallel, reconciles them line by line, and reports only the discrepancies — with likely causes.

Reads scattered user feedback in parallel, clusters it into themes with real quotes, and files the top requests as issues — with a digest.

English question to validated SQL to a plain-language answer. Planner, Analyst, Critic, Writer.

Takes one finished post and rewrites it for three channels at once — a thread, a newsletter section, a LinkedIn post — each in that channel's native voice, filed to Notion.

A nightly sweep of open Sentry issues and firing Grafana alerts, deduped and summarized into one 'what's new or worse' digest.

Multi-source sweep, dedupe, then synthesize a cited brief. Runs on a schedule.

Reflection (LangGraph tutorial)

io.github.langchain-ai/reflection-tutorial

LangGraph

The essay-writing reflection loop: a generator drafts, a reflector critiques as a teacher grading, and the loop repeats a fixed number of rounds.

Reflexion

io.github.langchain-ai/reflexion

LangGraph

An answerer that critiques itself with citations: draft, self-review for missing and superfluous content, search to fill gaps, revise.

Plan-and-Execute (LangGraph tutorial)

io.github.langchain-ai/plan-and-execute-tutorial

LangGraph

The original plan-and-execute notebook: a planner writes the step list, an executor works through it, and a replanner revises as results come in.