u/Distinct_Setting558

The quality of an AI system doesn't stop at the model - it starts with how it finds information.

A modern AI search pipeline typically follows this flow:

Web Crawling - collects content from websites

Indexing - organizes and structures the collected data for fast lookup

Retrieval - finds the most relevant documents based on a query

LLM Reasoning - synthesizes retrieved information into a useful response

Each stage matters. A stronger model cannot compensate for poor retrieval or outdated indexes.

Different tools also solve different problems:

Exa - excels at semantic search and retrieving high-quality documents

Tavily- optimized for AI agents that need reliable, real-time web search

Firecrawl - focuses on converting websites into clean, LLM-ready data

Serper - provides fast Google Search API access for production workflows

Brave Search - offers an independent search index, reducing reliance on major search providers

The biggest lesson I've learned is that retrieval quality often has a greater impact on answer quality than simply switching to a larger model. Investing in a robust search and retrieval pipeline usually delivers more consistent improvements that increasing model size alone.

As AI applications continue to evolve, search infrastructure is becoming a core component - not just a supporting feature. Teams that understand retrieval, indexing, and search architecture will be better positioned to build AI systems that are accurate, reliable and grounded in current situation.

This is my full Claude code Setup I have been using for a while now.

Install (changed recently)

Native installer is the default now, self-updates:

curl -fsSL https://claude.ai/install.sh | bash

Windows PowerShell: irm https://claude.ai/install.ps1 | iex. Or a package manager: brew install --cask claude-code, winget install Anthropic.ClaudeCode. If you use npm (npm install -g @anthropic-ai/claude-code, Node 18+), no sudo, and upgrade with @latest explicitly, since npm update -g can quietly strand you on an old build.

Verify:

claude --version
claude doctor

claude doctor shows the last auto-update attempt. Set autoUpdatesChannel to stable if this tool is load-bearing for you.

CLAUDE.md

Plain Markdown, read at the start of every session. Three scopes stack: ~/.claude/CLAUDE.md (personal), ./CLAUDE.md (project, checked into git), and org-wide managed policy that overrides both.

Run /init to draft the project file from your codebase. Keep it short, every line burns context every session. One thing worth knowing: the project-root file survives /compact. Claude re-reads it from disk after compaction.

Skills

Folders of instructions Claude loads on demand. Bundled ones (/code-review, /debug, /loop) ship by default. The document skills (docx, xlsx, pptx, pdf) matter if you produce real deliverables, since they give Claude actual file-format scripts instead of guessed formatting.

Writing your own:

---
name: changelog-writer
description: Draft a changelog entry from recent git commits in our house style
---
When invoked, read the recent commit log, group changes by type
(Added / Fixed / Changed), and write a concise entry in past tense.

Drop it in ~/.claude/skills/changelog-writer/SKILL.md, live immediately, no restart. Same-named project skills override bundled ones.

Plugins and MCP

/plugin marketplace add anthropics/skills

Then /plugin → Discover. Before install, check the "Will install" list, every command, hook, and server it adds.

MCP connectors:

claude mcp add --transport http notion https://mcp.notion.com/mcp
claude mcp list

GitHub first. It's the connector that pays off fastest.

Permissions

Set this up first if you're starting over.

{
  "permissions": {
    "allow": ["Bash(npm run test:*)", "Read"],
    "ask": ["Bash(git push:*)"],
    "deny": ["Read(./.env)", "Read(./secrets/**)"]
  }
}

Deny rules evaluate first and hold even in bypassPermissions mode. That's the guardrail that survives you turning off all the other guardrails at 11pm.

defaultMode: default (asks each time, start here), acceptEdits, dontAsk (auto-denies anything not explicitly allowed, good for unattended loops), bypassPermissions (no prompts, exactly as dangerous as it sounds).

Hooks and subagents

---
name: code-reviewer
description: Reviews code for quality, security, and best practices
tools: Read, Glob, Grep
model: sonnet
---
You are a code reviewer. When invoked, analyze the changes and give
specific, actionable feedback on quality, security, and best practices.

Tools line only lists Read, Glob, Grep, so it can't quietly "fix" things you didn't ask it to touch.

Lint hook after every edit:

{
  "hooks": {
    "PostToolUse": [
      {
        "matcher": "Edit|Write",
        "hooks": [{ "type": "command", "command": "/path/to/lint-check.sh" }]
      }
    ]
  }
}

One lint hook plus one read-only review subagent covers most of what I actually needed.

I used Tolan for a couple months but to me it seems very similar to claude on how its accomplishing. I like it but i would like something more harsh and ideally free (or very cheap), tomo is charging waay too much. Any suggestion?

I used Tolan for a couple months but to me it seems very similar to claude on how its accomplishing. I like it but I would like something more harsh and ideality free (or very cheap), tomo is charging waay too much. Any suggestion?

[educational purposes]

Hello, everyone. Basig naa mo ma suggest o recommend nga shop mo fabricate within davao region lang unta. Pleaseee comment down below ilang shop ug location. Solar-powered related ang ipa fabricate, amoa na ang design huhu please

THANK YOU!