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My AI Toolbox
The Complete Tech Stack for Business Automation

Every tool in this arsenal serve specific purposes. This is the actual stack I use to build custom automation systems for myself and clients.

16 Tools4 CategoriesReal-World Tested

The Logic Layer (The Managers)

The systems that control workflow execution and routing

Gumloop
Orchestrator

The Batch Processing Beast

The Verdict:

I use this when I need to process 500+ rows of data at once. It's the only no-code tool that handles looping and JSON parsing without breaking the bank.

Power Combo: Pair with Firecrawl for deep audits.
Key Features:
PDF processingWeb scrapingBatch operations50+ row iterations
See It In Action
Make.com
Orchestrator

The Emergency Router

The Verdict:

Gumloop builds the product; Make handles the chaos. I use Make exclusively for 'Router Logic'—deciding where data goes if an API fails.

Power Combo: Use after Gumloop to catch errors and retry logic.
Key Features:
App integrationConditional logicError handlingWebhook support
See It In Action
Dify
Orchestrator

The Client-Facing Brain

The Verdict:

Within 5 to 10 minutes, the user can have this deck underway... and have a deck edited, fully ready to send to somebody. To be safe, in 30 minutes you can have a deck from idea to deliverable.

Power Combo: Feed it data from Gumloop or Notion databases.
Key Features:
RAG implementationSystem promptsChat interfacesKnowledge management
See It In Action
Relay.app
Orchestrator

The Safety Net

The Verdict:

This is the panic button for automation. If a workflow generates something that could embarrass a client, Relay stops everything and pings me in Slack.

Power Combo: Place between Make and Notion to approve outputs.
Key Features:
Approval workflowsHuman checkpointsSlack integrationConditional approvals
See It In Action

The Extraction Layer (The Eyes)

The tools that pull data from the web and APIs

Firecrawl
Fetcher

The Site Mapper

The Verdict:

Most scrapers just read a page. Firecrawl maps the entire architecture. It turns a messy website into a clean Markdown skeleton.

Power Combo: Feed directly into GPT-4 for automated analysis.
Key Features:
Full site crawlingMarkdown conversionURL discoveryClean extraction
See It In Action
DataForSEO
Fetcher

The Numbers Guy

The Verdict:

Jina reads, Firecrawl maps, DataForSEO quantifies. If a client asks, 'How much traffic does this keyword get?' this is the answer.

Power Combo: Combine with Firecrawl for SEO audits with metrics.
Key Features:
SERP dataKeyword researchRanking dataLocal SEO metrics
See It In Action
Jina AI Reader
Fetcher

The URL Cleaner

The Verdict:

It strips ads, popups, and garbage, leaving only the content an AI can actually use. I use this inside Gumloop when I just need to read one URL.

Power Combo: Perfect for quick single-page reads in Gumloop.
Key Features:
Ad removalClean text extractionFast processingAI-ready output
See It In Action
Tavily
Fetcher

The Research Assistant

The Verdict:

It's a search engine for AI. Instead of returning 10 blue links, it returns summaries.

Power Combo: Use in chatbot workflows for real-time research.
Key Features:
Multi-source searchAnswer generationNews trackingCompetitor research
See It In Action
Parallel Web Systems
Fetcher

The Deep Researcher

The Verdict:

This is overkill for 90% of projects. But when a client needs semantic analysis or 'People Also Ask' extraction, Parallel delivers depth no other scraper can match.

Power Combo: Only when Firecrawl + DataForSEO isn't enough.
Key Features:
Semantic indexingPAA discoveryDeep researchRelationship mapping
See It In Action
Spider
Fetcher

The Industrial Vacuum

The Verdict:

Firecrawl maps the site, but Spider consumes it. When I need to feed an LLM a massive knowledge base—say, 10,000 documentation pages—I switch to Spider. It runs on Rust, making it significantly faster and cheaper for high-volume data ingestion.

Power Combo: Use for massive documentation ingestion and Knowledge Base builds.
Key Features:
Rust-powered speed10k+ page crawlsCost-effective at scaleLLM-ready output
See It In Action

The Intelligence Layer (The Reasoners)

The AI models that process, analyze, and generate content

OpenAI GPT-4o
AI Model

The Workhorse

The Verdict:

This handles 90% of my workflows. It's fast, cheap enough to scale, and the structured output mode means I never have to parse messy JSON again.

Power Combo: Default choice unless you need Claude's writing or Gemini's context.
Key Features:
Structured outputsFunction calling128K contextVision support
See It In Action
Claude 3.5 Sonnet
AI Model

The Wordsmith

The Verdict:

If a client needs blog posts, analysis, or anything where tone matters, I use Claude. It writes like a human. GPT-4 writes like a robot trying to sound human.

Power Combo: Use for final client-facing content after GPT extracts data.
Key Features:
Long context (200K)Superior writingComplex reasoningSafety-focused
See It In Action
Gemini 1.5 Pro
AI Model

The Video Analyst

The Verdict:

It can actually 'watch' a 2-hour YouTube video and summarize it. The 2M token context window is absurd.

Power Combo: Use when you need to process massive documents or video.
Key Features:
2M token contextVideo processingVisual analysisMultimodal
See It In Action

The Storage Layer

Where workflows output and data is stored

Notion
Database

The Client Dashboard

The Verdict:

I don't use this to write blogs. I use it to manage data. I can spin up a database of 100 content ideas and have Notion AI (powered by Anthropic/GPT) fill in the rows, tag them, and summarize them automatically.

Power Combo: Perfect endpoint for Gumloop or Make workflows.
Key Features:
Database viewsAPI accessCollaborationRich content
See It In Action

Worth Mentioning

Additional tools and platforms worth exploring

n8n
Orchestrator

Self-Hosted Automation

Open-source automation platform for self-hosted workflows.

Best For: Self-hosted automation, privacy-focused workflows
See It In Action
Google AI Studio
AI Platform

Gemini Development

Google AI Studio is a new one for us that we are using a lot more... we can create apps within AI Studio and share them with you. Here are some links, feel free to check them out.

Best For: Prototyping, testing, Gemini experimentation
See It In Action
Copilot
AI Assistant

Development Helper

AI-powered code completion and development assistant.

Best For: Code generation, development assistance
See It In Action

Frequently Asked Questions

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