# Zarif Automates > Who to read, which AI jobs to aim for, and agent workflows you can check, for people who build with AI. — Who to follow in AI, how to get into AI-engineering jobs, and agent and automation workflows you can open and check, from someone who builds them. Every page below links to a clean Markdown version (append `.md` to any blog, glossary, or tool URL). The full corpus is available in per-pillar files at https://www.zarifautomates.com/llms-full.txt. ## Author Zarif Choudhury — AI Automation Builder & Educator Zarif builds AI agents and automation workflows. He writes about what keeps working once real people use it: who is worth reading, the new jobs AI is creating, and agent workflows you can check step by step. ## Start Here - [Zarif Automates](https://www.zarifautomates.com): Build a career in the jobs AI is creating: the Still Building newsletter, AI career paths, and where to start. - [Start here](https://www.zarifautomates.com/start-here): Where to begin if you build with AI: pick a goal, then read its path in order. AI career paths, agent building, and sources worth following. - [Blog](https://www.zarifautomates.com/blog): Every published article, newest first. ## Careers - [Careers in AI](https://www.zarifautomates.com/careers): Roles for people who build with AI: what each job involves, where to start reading, and who is hiring. - [Careers in AI sales](https://www.zarifautomates.com/careers/ai-sales): AI sales roles from SDR to account executive: what each job involves, how pay plans work, and which AI companies are hiring. - [AI Skills Index](https://www.zarifautomates.com/careers/skills): The tools AI job posts ask for, role by role, counted monthly from public job boards. - [Tools AI Engineer job posts ask for](https://www.zarifautomates.com/careers/skills/ai-engineer): The tools named in 769 AI Engineer postings from 92 employers, ranked, with signature tools and new ones on the radar. - [Tools Forward Deployed Engineer job posts ask for](https://www.zarifautomates.com/careers/skills/forward-deployed-engineer): The tools named in 248 Forward Deployed Engineer postings from 42 employers, ranked, with signature tools and new ones on the radar. - [Tools Solutions Engineer job posts ask for](https://www.zarifautomates.com/careers/skills/solutions-engineer): The tools named in 705 Solutions Engineer postings from 66 employers, ranked, with signature tools and new ones on the radar. - [Tools GTM Engineer job posts ask for](https://www.zarifautomates.com/careers/skills/gtm-engineer): The tools named in 41 GTM Engineer postings from 26 employers, ranked, with signature tools and new ones on the radar. - [Tools Account Executive job posts ask for](https://www.zarifautomates.com/careers/skills/account-executive): The tools named in 393 Account Executive postings from 45 employers, ranked, with signature tools and new ones on the radar. - [Tools SDR / BDR job posts ask for](https://www.zarifautomates.com/careers/skills/sdr-bdr): The tools named in 52 SDR / BDR postings from 27 employers, ranked, with signature tools and new ones on the radar. - [Tools Customer Success job posts ask for](https://www.zarifautomates.com/careers/skills/customer-success): The tools named in 105 Customer Success postings from 26 employers, ranked, with signature tools and new ones on the radar. - [Tools RevOps job posts ask for](https://www.zarifautomates.com/careers/skills/revops): The tools named in 45 RevOps postings from 22 employers, ranked, with signature tools and new ones on the radar. - [Forward Deployed Engineer career path](https://www.zarifautomates.com/careers/forward-deployed-engineer): Forward Deployed Engineer: what the job involves, a 12-guide reading path, pay from employer postings and interview practice. - [AI Engineer career path](https://www.zarifautomates.com/careers/ai-engineer): AI Engineer: what the job involves, a 10-guide reading path, pay from employer postings and interview practice. - [Agent Engineer career path](https://www.zarifautomates.com/careers/agent-engineer): Agent Engineer: what the job involves, a 10-guide reading path, pay from employer postings and interview practice. - [GTM Engineer career path](https://www.zarifautomates.com/careers/gtm-engineer): GTM Engineer: what the job involves, a 5-guide reading path, pay from employer postings and interview practice. - [AI Account Executive career path](https://www.zarifautomates.com/careers/ai-sales/account-executive): AI Account Executive: what the job involves, a 7-guide reading path, pay from employer postings and interview practice. - [AI SDR / BDR career path](https://www.zarifautomates.com/careers/ai-sales/sdr-bdr): AI SDR / BDR: what the job involves, a 7-guide reading path, pay from employer postings and interview practice. ## Topic Hubs - [AI Agents](https://www.zarifautomates.com/blog/topic/ai-agents): Every published guide on AI Agents. - [AI Automation](https://www.zarifautomates.com/blog/topic/ai-automation): Every published guide on AI Automation. - [AI News & Trends](https://www.zarifautomates.com/blog/topic/ai-news): Every published guide on AI News & Trends. - [AI Workflows](https://www.zarifautomates.com/blog/topic/ai-workflows): Every published guide on AI Workflows. - [Coding AI](https://www.zarifautomates.com/blog/topic/coding-ai): Every published guide on Coding AI. - [AI Document Processing](https://www.zarifautomates.com/blog/topic/document-processing): Every published guide on AI Document Processing. ## Lab - [Lab](https://www.zarifautomates.com/lab): Small calculators and quizzes: find an AI career path, work out sales pay, price document AI or a coding agent, and see if a task needs an agent. - [Career Path Finder](https://www.zarifautomates.com/lab/career-path-finder): Answer ten questions about how you like to work. Get the AI engineering role that fits best and the guides to read first. - [AI Sales Pay Calculator](https://www.zarifautomates.com/lab/ai-sales-pay-calculator): Put in a sales pay plan: base salary, commission, quota and the higher rate paid above quota. See what it pays in a year. - [Document Processing Cost](https://www.zarifautomates.com/lab/document-processing-cost-calculator): The monthly cost of having AI read your documents and a person check the ones it flags, next to doing all of it by hand. - [Coding Agent Cost](https://www.zarifautomates.com/lab/coding-agent-cost-calculator): What a month of coding-agent use costs if you pay per token through the API, next to the flat monthly plans. - [Agent or Workflow?](https://www.zarifautomates.com/lab/agent-or-workflow): Eight questions about a task. The answers say whether it needs a fixed workflow, a workflow with one AI step, or an agent. ## Newsletter - [Still Building newsletter](https://www.zarifautomates.com/newsletter): One story from the AI world, told properly, and what Zarif makes of it. - [Still Building archive](https://www.zarifautomates.com/newsletter/archive): Every published issue of Still Building, newest first. ## About - [About Zarif Choudhury](https://www.zarifautomates.com/about): Zarif Choudhury builds AI agents and automation workflows and writes Still Building, plus guides to sources, AI roles and agent workflows. - [My AI stack](https://www.zarifautomates.com/stack): The tools Zarif Choudhury uses to build agents and run this site, and what each one is for. Updated when the stack changes. ## Open Source - [Open-Source Projects](https://www.zarifautomates.com/open-source): Runnable agent course labs and sales skills for AI agents, MIT-licensed. - [GTM Skills for AI Agents](https://www.zarifautomates.com/open-source/gtm-skills): Evidence-first sales and go-to-market skills for account research, outbound, discovery, qualification, deal strategy, pipeline review, forecasting, and customer handoff. - [GTM Skills on GitHub](https://github.com/zarif3624/gtm-skills): Installable source, documentation, issues, and contributions. ## Content Pillars - [Agents & AI Engineering](https://www.zarifautomates.com/blog/pillar/agents-and-ai-engineering): How to build an AI agent, test it, and keep it running: frameworks, development environments, memory, tools and MCP, and Codex and Claude Code in practice. - [Automation Workflows](https://www.zarifautomates.com/blog/pillar/automation-workflows): Automations that keep running once real work flows through them: n8n, webhooks, APIs, process templates, and when to use a fixed workflow instead of an agent. - [AI Careers](https://www.zarifautomates.com/blog/pillar/ai-careers): The new jobs AI is creating, like forward-deployed and GTM engineer: what the work is, who hires for it, and how people get in. - [Sources & Directories](https://www.zarifautomates.com/blog/pillar/sources-and-directories): Lists of the accounts, newsletters, blogs, channels, communities and tools worth following, each with the date it was last checked. - [Tools & Comparisons](https://www.zarifautomates.com/blog/pillar/tools-and-comparisons): Reviews of AI tools, side-by-side comparisons, pricing guides, and short lists of tools for specific jobs. ## Pillar Hubs (Markdown indexes) - [Agents & AI Engineering](https://www.zarifautomates.com/blog/pillar/agents-and-ai-engineering.md) - [Automation Workflows](https://www.zarifautomates.com/blog/pillar/automation-workflows.md) - [AI Careers](https://www.zarifautomates.com/blog/pillar/ai-careers.md) - [Sources & Directories](https://www.zarifautomates.com/blog/pillar/sources-and-directories.md) - [Tools & Comparisons](https://www.zarifautomates.com/blog/pillar/tools-and-comparisons.md) ## Agents & AI Engineering How to build an AI agent, test it, and keep it running: frameworks, development environments, memory, tools and MCP, and Codex and Claude Code in practice. ### Posts - [CLAUDE.md and AGENTS.md: What Coding Agents Read](https://www.zarifautomates.com/blog/claude-md-and-agents-md-for-coding-agents.md): How Claude Code and Codex load project instruction files, what belongs in them, and a worked AGENTS.md for a small Next.js repo. - [Datalab in Practice: Marker, Surya, Chandra and the API](https://www.zarifautomates.com/blog/datalab-in-practice-marker-surya-chandra.md): Install Marker, convert a PDF, read the output, then do the same through the Datalab API. Every command comes from the official READMEs and docs. - [Designing the Document Review Queue](https://www.zarifautomates.com/blog/designing-the-document-review-queue.md): Which documents a person should check, how many to spot-check, how many reviewer hours you need, and how corrections make the system better. - [Document AI Cost at Scale: Pages Are the Small Part](https://www.zarifautomates.com/blog/document-ai-cost-at-scale.md): Per-page prices for Datalab, Extend, Azure, Google and LLM APIs as of September 2026, and a worked example showing why human review is most of the bill. - [Document AI Now: From OCR to Vision-Language Models](https://www.zarifautomates.com/blog/document-ai-from-ocr-to-vision-language-models.md): What changed when document parsing moved from OCR to AI models that read the whole page, with dated examples from Datalab, Extend, Azure and Google. - [Document AI Glossary: 30 Terms, Defined Plainly](https://www.zarifautomates.com/blog/document-ai-glossary.md): Thirty document AI terms, from OCR and parsing to precision, review thresholds and per-page pricing, each linked to the post where it matters. - [Extend in Practice: Schemas, Evals and Workflows](https://www.zarifautomates.com/blog/extend-in-practice-schemas-evals-workflows.md): How Extend's extraction schemas, test sets and workflows fit together, from its docs, with a worked schema for one made-up invoice. - [Extend vs Datalab vs Other Document Parsers](https://www.zarifautomates.com/blog/extend-vs-datalab-vs-other-document-parsers.md): Extend, Datalab, Google, Azure and Mistral compared on one disclosed invoice task, using only documented features and published prices. - [Git Workflows with Claude Code and Codex](https://www.zarifautomates.com/blog/git-workflows-with-coding-agents.md): Branches, commits, worktrees and pull requests with a coding agent, plus the git actions an agent should never take without you. - [Headless and CI Use of Coding Agents](https://www.zarifautomates.com/blog/headless-and-ci-use-of-coding-agents.md): Run Claude Code and Codex non-interactively and in GitHub Actions: flags, the GitHub app, Codex cloud, secrets, and a worked workflow. - [Hooks for Coding Agents: Rules the Model Can't Skip](https://www.zarifautomates.com/blog/hooks-for-coding-agents.md): How Claude Code and Codex hooks work, the settings.json shape, and a worked hook that runs your checks before the agent commits. - [Install Claude Code and Codex, Then Run a First Task](https://www.zarifautomates.com/blog/install-claude-code-and-codex-and-run-your-first-task.md): Install Claude Code and Codex, sign in, give each the same broken test to fix in a practice project, and check what it changed before you keep it. - [MCP Servers for Coding Agents: Claude Code and Codex](https://www.zarifautomates.com/blog/mcp-servers-for-coding-agents.md): Add an MCP server to Claude Code and Codex, using GitHub's official server in read-only mode as the example, and decide what the agent may do. - [Measure Document Extraction Accuracy Field by Field](https://www.zarifautomates.com/blog/measuring-document-extraction-accuracy.md): Check how accurate your invoice extraction really is, field by field, with a small answer key and a tested Python script that scores every field. - [Parse, Extract, Classify, Split: Which One You Need](https://www.zarifautomates.com/blog/parse-vs-extract-vs-classify-vs-split.md): The four document AI operations, what each returns, and when each is the right tool, walked through one synthetic two-page invoice. - [Plan Mode and Agent-Sized Tasks for Coding Agents](https://www.zarifautomates.com/blog/plan-mode-and-task-decomposition-for-coding-agents.md): When to make a coding agent plan before it edits, how plan mode works in Claude Code and Codex, and how to cut a feature into small checkable tasks. - [How to Review a Coding Agent's Diff](https://www.zarifautomates.com/blog/reviewing-coding-agent-diffs.md): Read an agent's change in the right order: tests, deletions, dependencies and config first. A review checklist for Claude Code and Codex. - [Skills and Reusable Instructions for Coding Agents](https://www.zarifautomates.com/blog/skills-and-reusable-instructions-for-coding-agents.md): Write one SKILL.md that works in Claude Code, Codex and Cursor, and learn when a skill beats another line in CLAUDE.md or AGENTS.md. - [Subagents and Parallel Work With Coding Agents](https://www.zarifautomates.com/blog/subagents-and-parallel-work-with-coding-agents.md): Subagents, worktrees, and parallel lanes in Claude Code and Codex: how to split work so files don't collide, and what to review. - [Agent Design Patterns: Run Four Control Flows and Their Failures](https://www.zarifautomates.com/blog/ai-agent-design-patterns-production-systems.md): Run four small agent shapes on fake support tickets and watch what each one does when a step fails, stalls or gets an unclear request. - [Choose an Agent Starter: Inspect Three Repositories and Test One](https://www.zarifautomates.com/blog/best-ai-agent-template-libraries-and-starters.md): Compare a Python agent backend, a LangGraph chat UI and a full-stack chatbot, then check one starter at a fixed version without paying for model calls. - [Agent Evaluation Tools: Compare Five Options on One Ticket Task](https://www.zarifautomates.com/blog/best-ai-agent-testing-and-evaluation-tools.md): Run a local Pydantic Evals test, then see how Promptfoo, LangSmith, Braintrust and plain Python handle the same ten tickets and the same scoring rules. - [AI APIs for Beginners: Make a Request and Handle the Response](https://www.zarifautomates.com/blog/complete-guide-ai-apis-beginners.md): Make a Claude Messages API request in Python, validate its JSON response, and test authentication, rate limits and bad output with local fixtures. - [Evaluate a Ticket Agent: Dataset, Scoring Code and Failure Report](https://www.zarifautomates.com/blog/evaluate-ai-agent-performance-reliability.md): Run ten support-ticket cases through two simple classifiers, score what they got wrong, and keep every failure in the report. - [Human Approval for Agents: Store and Check the Exact Decision](https://www.zarifautomates.com/blog/how-to-build-ai-agent-human-in-loop-approval.md): Build an approval step in SQLite that refuses changed, outdated, expired or revoked requests, and never repeats finished work on retry. - [Plan and Execute: Build a Bounded Ticket Workflow](https://www.zarifautomates.com/blog/how-to-build-ai-agent-that-plans-and-executes-tasks.md): Run a four-step ticket workflow that checks its plan first, caps how much work it does, can be canceled, and shows what a failed step blocks. - [Build Persistent Agent Memory with Updates, Expiry and Deletion](https://www.zarifautomates.com/blog/how-to-build-ai-agent-with-persistent-memory.md): Build a SQLite memory store that keeps users apart, catches outdated updates, records where each value came from, and handles expiry and deletion. - [Build a Small RAG Pipeline and Measure What It Misses](https://www.zarifautomates.com/blog/how-to-build-ai-agent-with-rag.md): Build a six-document RAG pipeline, check its citations, filter out private and outdated documents, and measure the synonym question it misses. - [Build an MCP Server and Client for a Ticket-Label Tool](https://www.zarifautomates.com/blog/how-to-build-an-ai-agent-using-mcp-model-context-protocol.md): Build a small Python MCP server and client, find a ticket-label tool, and test good calls, rejected inputs and protocol errors. - [Run a Bounded Tool-Calling Loop in Python](https://www.zarifautomates.com/blog/how-to-build-an-ai-agent-with-tool-use-and-function-calling.md): Build a Python loop where a model asks for tools and your code decides what runs, with argument checks, hard limits and ten repeatable test cases. - [Use Cursor to Build a Ticket Approval Interface You Can Test](https://www.zarifautomates.com/blog/how-to-use-cursor-ai-to-build-web-applications.md): Use Cursor to build a small ticket-review screen, then check that approving, refusing an outdated change and retrying all work in the browser and over HTTP. - [Use GitHub Copilot to Fix a Stale-Delete Bug You Can Verify](https://www.zarifautomates.com/blog/how-to-use-github-copilot-to-write-code-faster.md): Use Copilot in VS Code to fix a small SQLite delete bug. Start from two failing tests, then check the one line of SQL that matters in the patch. - [Build a Webhook Receiver That Verifies and Recovers](https://www.zarifautomates.com/blog/how-to-use-webhooks-ai-automation.md): Run a small Python webhook receiver on your own machine, check each request's signature, store it safely, and test what happens with duplicates and crashes. - [Three Prompt Contracts You Can Check with Evaluation Fixtures](https://www.zarifautomates.com/blog/prompt-contracts-with-evaluation-fixtures.md): Write three prompts with a fixed output shape, then check twelve good and bad example answers against them with a small Python script. - [RL Environments for Coding Agents: Five Projects](https://www.zarifautomates.com/blog/rl-environments-for-coding-agents.md): Five open projects for building practice tasks and scoring for coding agents, what each one covers, and what to check before you trust a score. - [Build a Ticket Workflow with Signed Delivery and Approval](https://www.zarifautomates.com/blog/ticket-agent-workflow-capstone.md): Wire a real HTTP receiver to document lookup and a stored approval, then run twelve local tests of what happens when steps fail or repeat. - [Reactive vs Proactive AI Agents: Architecture Comparison](https://www.zarifautomates.com/blog/reactive-vs-proactive-ai-agents-architecture-comparison.md): Reactive agents wait to be asked. Proactive agents notice things on their own. How each is built, where each breaks, and which one to start with. - [Your Research Agent Needs an Evidence Ledger](https://www.zarifautomates.com/blog/market-research-agent-workflow-teardown.md): Set up a research agent so every claim keeps its source, guesses are labeled as guesses, and the brief ends in a decision someone can check. - [Agent Development Environments: Coding, RL and Runtimes](https://www.zarifautomates.com/blog/best-ai-agent-development-environments.md): People mean three things by agent development environment: a coding agent, a place to train one, or a sandbox to run its code. Here's how to tell them apart. - [Enterprise AI Agent Platforms: An FDE's Shortlist Test](https://www.zarifautomates.com/blog/best-ai-agent-platforms-for-enterprises.md): Five enterprise agent platforms compared on who acts, what's saved, how they connect and who runs them, plus one pilot test to give every finalist. - [Enterprise Document Processing Tools: How to Choose](https://www.zarifautomates.com/blog/best-enterprise-ai-document-processing-tools.md): Datalab, ABBYY, Rossum, Google and Azure for pulling data out of documents, and the questions that decide which one fits your team. - [Enterprise AI Knowledge Management: Choose and Pilot](https://www.zarifautomates.com/blog/best-enterprise-ai-knowledge-management-systems.md): Compare Glean, Guru, Notion and Microsoft knowledge search on who can see what, how fast changes show up, and whether answers hold up in a pilot. - [How to Deploy AI Agents to Production](https://www.zarifautomates.com/blog/how-to-deploy-ai-agents-to-production.md): Seven steps to take an AI agent from your laptop to real users: hosting, storage, tests, spending limits, and how to find out when it goes wrong. - [What Is Model Context Protocol (MCP)? How It Works in 2026](https://www.zarifautomates.com/blog/what-is-model-context-protocol-mcp.md): What Model Context Protocol is, how AI apps use it to reach tools and data under the 2026-07-28 spec, who runs it, and how to start using or building a server. - [How to Build a Multi-Agent AI System from Scratch](https://www.zarifautomates.com/blog/how-to-build-multi-agent-ai-system.md): Build a multi-agent AI system: give each agent one job, pick a pattern and a framework, check every handoff, and test before you launch. ## Automation Workflows Automations that keep running once real work flows through them: n8n, webhooks, APIs, process templates, and when to use a fixed workflow instead of an agent. ### Posts - [Build an Invoice Pipeline in n8n With a Review Branch](https://www.zarifautomates.com/blog/invoice-pipeline-in-n8n.md): Import a tested n8n workflow that validates extracted invoice fields and routes exceptions to review, then swap in Gmail, Datalab and Sheets. - [Build an n8n Ticket-Triage Workflow and Test Its Failure Paths](https://www.zarifautomates.com/blog/how-to-use-n8n-for-advanced-ai-workflow-automation.md): Import a credential-free n8n workflow, run eight ticket-triage fixtures, and inspect review, duplicate, invalid-output and stale-record branches. - [How to Build a Weekly AI Article Recommendation Workflow](https://www.zarifautomates.com/blog/how-to-build-weekly-ai-article-recommendation-workflow.md): Build a weekly n8n workflow that pulls new articles from your sources, drops repeats, has AI rank the rest, checks every link, and emails a short list. - [How to Build Your First AI Automation: Email Triage in n8n](https://www.zarifautomates.com/blog/how-to-build-your-first-ai-automation-in-under-30-minutes.md): Build an n8n workflow that reads new Gmail, asks a small OpenAI model for JSON, and appends each result to a Google Sheet. No automation experience needed. - [How to Create an AI Video Production Workflow](https://www.zarifautomates.com/blog/ai-video-production-workflow.md): Build an AI video workflow: draft the script, generate the video, add captions and formats, review it, and post it everywhere from one pipeline. - [The AI Automation Playbook: Tools, Workflows and ROI](https://www.zarifautomates.com/blog/complete-ai-automation-playbook-2026.md): Compare n8n, Make, and Zapier, pick a model for each step, adapt five workflow blueprints, and price a workflow from published rates before you build it. - [How to Create AI-Powered SOPs for Your Entire Business](https://www.zarifautomates.com/blog/how-to-create-ai-powered-sops-for-business.md): Write SOPs with AI in seven steps: list your processes, pick one template, let AI draft, test it on a new reader, and keep each one current. - [How to Build a Lead Generation Workflow in n8n Step by Step](https://www.zarifautomates.com/blog/how-to-build-lead-gen-workflow-n8n.md): Build an n8n lead workflow: catch a form, look up the company, have a model score the lead against your ideal customer, and send it to your CRM. ## AI Careers The new jobs AI is creating, like forward-deployed and GTM engineer: what the work is, who hires for it, and how people get in. ### Posts - [Agent Engineer Interview Guide](https://www.zarifautomates.com/blog/agent-engineer-interview-guide.md): What agent engineer interviews are likely to test, read from live postings: agent design, testing, debugging and coding with AI tools, plus practice prompts. - [Agent Engineer vs AI Engineer vs ML Engineer](https://www.zarifautomates.com/blog/agent-engineer-vs-ai-engineer-vs-ml-engineer.md): What agent, AI and ML engineers each own, and how to tell which job a posting really describes, read from live postings in September 2026. - [AI Account Executive: Career and Portfolio Guide](https://www.zarifautomates.com/blog/ai-account-executive-career-guide.md): What an account executive owns at an AI company, read from seven live postings: pay, deal shape, a first year, and portfolio work you can build. - [AI Account Executive Interview Guide](https://www.zarifautomates.com/blog/ai-account-executive-interview-guide.md): The rounds an AI account executive loop tends to run, what AI postings add to each, and eight original prompts to practice out loud. - [AI Engineer Interview Guide](https://www.zarifautomates.com/blog/ai-engineer-interview-guide.md): What an AI engineer interview tends to test, from live postings: coding, designing a model-powered feature, testing and debugging it, with practice prompts. - [AI Engineer vs ML Engineer vs Software Engineer](https://www.zarifautomates.com/blog/ai-engineer-vs-ml-engineer-vs-software-engineer.md): What AI engineers, ML engineers and software engineers own, from live postings at the same employers, and how to tell which job a posting describes. - [AI SDR and BDR: Career Guide, Pay and Path to AE](https://www.zarifautomates.com/blog/ai-sdr-bdr-career-guide.md): What SDRs and BDRs do at AI companies, read from seven live postings: targets, posted pay, how AI tooling changed the job and the path to AE. - [AI SDR and BDR Interview Guide](https://www.zarifautomates.com/blog/ai-sdr-bdr-interview-guide.md): How to prepare for an SDR or BDR loop at an AI company: the mock cold call, the written email, account research, and original practice prompts. - [AI SDR Outbound Playbook: Signals to Booked Meetings](https://www.zarifautomates.com/blog/ai-sdr-outbound-playbook.md): A runnable outbound process for AI sales: target list, sourced signals, account research, enrichment, evidence-first sequences and weekly review. - [Breaking Into AI Sales: Who Gets Hired and How](https://www.zarifautomates.com/blog/breaking-into-ai-sales.md): Who AI companies hire into SDR, AE, sales engineer, account manager and CSM roles, what live postings ask for, and a 90-day plan to get in. - [Companies Hiring AI Sales Roles](https://www.zarifautomates.com/blog/companies-hiring-ai-sales-roles.md): 23 open AI sales postings (SDR, BDR, AE, sales engineer, account manager, CSM) with pay text, scope and links, each checked live on September 26, 2026. - [GTM Engineer Interview Guide](https://www.zarifautomates.com/blog/gtm-engineer-interview-guide.md): What GTM engineer interviews test, read from live employer postings: take-home builds, lead pipeline design, data quality and stakeholder calls, plus practice. - [GTM Engineer vs RevOps vs Sales Engineer](https://www.zarifautomates.com/blog/gtm-engineer-vs-revops-vs-sales-engineer.md): What GTM engineers, RevOps and sales engineers own, how each is measured, and how to tell which job a posting really describes, from live postings. - [How OTE and Sales Pay Plans Work](https://www.zarifautomates.com/blog/how-ote-and-sales-pay-plans-work.md): Base, variable, OTE, quota, accelerators, clawbacks, ramp and equity, worked through with pay ranges from live AI sales postings. - [How to Become an Agent Engineer](https://www.zarifautomates.com/blog/how-to-become-an-agent-engineer.md): A path into agent engineering from software, data or automation work: what to learn, the course lessons in order, and three portfolio pieces to build. - [How to Become an AI Engineer: A Path With Proof](https://www.zarifautomates.com/blog/how-to-become-an-ai-engineer.md): A path into AI engineering from software or data work: what to learn in order, and one tested AI project that proves you can do the job. - [How to Run an AI Sales Cycle, From Discovery to Handoff](https://www.zarifautomates.com/blog/how-to-run-an-ai-sales-cycle.md): A stage-by-stage plan for AI deals: discovery, a test the customer runs, usage pricing, security review, close and handoff, with a gate for each. - [What Is Different About Selling AI](https://www.zarifautomates.com/blog/what-is-different-about-selling-ai.md): Usage pricing, pilots judged by evals, technical buyers and data questions: what changes for an AE, SDR, SE or CSM when the product is AI. - [Agent Engineer: A Practical Career and Portfolio Guide](https://www.zarifautomates.com/blog/agent-engineer-career-guide.md): What agent engineers actually build, why it's harder than it looks, and a portfolio project that shows you can make an agent stop, restart and recover. - [AI Engineer: A Practical Career and Portfolio Guide](https://www.zarifautomates.com/blog/ai-engineer-career-guide.md): What AI engineers actually build, what to learn first, a portfolio project with eight test cases, and pay posted by real employers. - [GTM Engineer: A Practical Career and Portfolio Guide](https://www.zarifautomates.com/blog/gtm-engineer-career-guide.md): What GTM engineers own, read from real job posts, plus a learning order, posted pay and a portfolio project you can build with fake data. - [What Is a Forward Deployed Engineer?](https://www.zarifautomates.com/blog/what-is-a-forward-deployed-engineer.md): What a forward deployed engineer does, shown through one made-up customer problem from discovery to handoff, plus who hires FDEs and what they pay. - [Forward Deployed Engineer vs Solutions Architect vs Consultant](https://www.zarifautomates.com/blog/forward-deployed-engineer-vs-solutions-architect-vs-consultant.md): How FDEs, solutions architects, consultants, implementation and product engineers differ in what they own, how much code they ship, and how they're judged. - [When Should You Hire a Forward Deployed Engineer?](https://www.zarifautomates.com/blog/when-to-hire-forward-deployed-engineer.md): Decide whether your company needs a forward deployed engineer, a solutions architect, better onboarding, or product work, with a score and a cost model. - [How to Build a Forward Deployed Engineering Team](https://www.zarifautomates.com/blog/how-to-build-forward-deployed-engineering-team.md): Set up an FDE team that ships customer results without turning into custom services: charter, reporting, hiring, capacity and career paths. - [The Forward Deployed Engineering Playbook: Discovery to Production](https://www.zarifautomates.com/blog/forward-deployed-engineering-playbook.md): How to run an FDE engagement from first request to production: what to write down at each step, when to stop, and how to hand it off. - [How to Measure FDE Teams: Metrics, ROI, and Unit Economics](https://www.zarifautomates.com/blog/how-to-measure-fde-teams.md): A scorecard for forward deployed engineering teams: customer results, safe delivery, reuse and cost, plus the metrics that reward the wrong work. - [Forward Deployed Engineers for Enterprise AI: Why the Model Works](https://www.zarifautomates.com/blog/forward-deployed-engineers-enterprise-ai.md): Why AI companies send engineers to work inside customer teams, what those engineers do from first request to rollout, and what to learn for the job. - [How to Become a Forward Deployed Engineer](https://www.zarifautomates.com/blog/how-to-become-forward-deployed-engineer.md): What forward deployed engineers do, the skills to build, three portfolio projects, a 12-week plan, and what the first offers look like. - [Forward Deployed Engineer Interview Guide](https://www.zarifautomates.com/blog/forward-deployed-engineer-interview-guide.md): How to prepare for a forward deployed engineer interview: the coding, design, customer case and behavioral rounds, a worked case, and a two-week plan. - [Why Forward Deployed Engineering Teams Fail](https://www.zarifautomates.com/blog/why-forward-deployed-engineering-teams-fail.md): Twelve ways forward deployed engineering teams turn into custom-services shops or burn out, the signs of each, and how to recover in 30 days. - [How to Transition Into an AI Career: Complete Guide](https://www.zarifautomates.com/blog/how-to-transition-into-an-ai-career-complete-guide.md): Move into AI work from the job you have: pick the role your experience fits, learn in order, build one project with proof, and read real posted pay. - [How to Learn AI from Scratch: Free Resources Guide](https://www.zarifautomates.com/blog/how-to-learn-ai-from-scratch-free-resources-guide.md): Learn AI from scratch with free resources: a 90-day path from Python basics to a deployed project, with every course and tool linked and checked. ## Sources & Directories Lists of the accounts, newsletters, blogs, channels, communities and tools worth following, each with the date it was last checked. ### Posts - [AI Agent Benchmarks and Leaderboards: What Each Measures](https://www.zarifautomates.com/blog/ai-agent-benchmarks-and-leaderboards.md): Eight public tests for AI agents, sorted by what each measures: fixing code, terminal work, browsing, computer use and customer service. - [AI Conferences and Meetups: Organizer Calendars for Builders](https://www.zarifautomates.com/blog/ai-conferences-and-meetups-for-builders.md): Eight places to find technical AI conferences and meetups, from local groups to research conferences, with tips on picking an event worth your time. - [AI RSS and OPML Pack: Import Six Engineering Feeds](https://www.zarifautomates.com/blog/ai-rss-and-opml-pack.md): One free file that adds six checked AI engineering feeds to your RSS reader, with the feed addresses, import steps and a small weekly reading routine. - [AI Agent Repos and Starter Templates: Seven Projects](https://www.zarifautomates.com/blog/best-ai-agent-repos-and-starter-templates.md): Seven open-source projects for building AI agents, from a small starter template to full libraries, with what each is for and how to make one your own. - [AI Engineering Blogs: Systems, Evals and Practical Work](https://www.zarifautomates.com/blog/best-ai-engineering-blogs.md): Seven AI engineering blogs that help you decide what to measure, what to build and what to fix, with a reason to read each and a CSV export. - [Companies Hiring Forward-Deployed and GTM Engineers](https://www.zarifautomates.com/blog/companies-hiring-forward-deployed-and-gtm-engineers.md): Six real FDE and GTM engineering job postings at five employers, checked on each company's own job board, with locations, experience and source dates. - [MCP Servers for AI Builders: Maintainer and Reference Projects](https://www.zarifautomates.com/blog/mcp-servers-for-ai-builders.md): Seven MCP servers for repositories, browsers, databases, local files and infrastructure, sorted by job, with the permission settings to check first. - [Best AI communities](https://www.zarifautomates.com/blog/best-ai-communities.md): AI subreddits, Discord and Slack servers, forums and events worth joining, with official join links, five to start with, and a CSV download. - [Best AI Accounts to Follow on X (Twitter) in 2026](https://www.zarifautomates.com/blog/best-ai-twitter-x-accounts-to-follow.md): AI accounts on X picked for linking papers, code and evals, not follower counts. Every handle rechecked September 25, 2026. Start with five. - [Best AI Blogs and News Sites for 2026: A High-Signal Reading Stack](https://www.zarifautomates.com/blog/best-ai-blogs-and-websites-for-news.md): AI blogs and news sites sorted by job: labs announcing what shipped, writers who test it, and reporters who cover the business. Plus a 15-minute weekly routine. - [The Best AI Newsletters to Subscribe To](https://www.zarifautomates.com/blog/best-ai-newsletters-to-subscribe-to.md): AI newsletters worth subscribing to in 2026, picked for a point of view and real editing, with five to start with and how to read them. - [The Best AI Podcasts for Staying Informed](https://www.zarifautomates.com/blog/best-ai-podcasts-for-staying-informed.md): 19 AI and tech podcasts sorted by the job each does, with checked audio feeds, notes on which are still active, and an OPML download. - [The Best AI YouTube Channels for Education](https://www.zarifautomates.com/blog/best-ai-youtube-channels-for-education.md): AI YouTube channels that teach well, from math basics to building agents, picked for clear teaching instead of subscriber counts. Start with five. ## Tools & Comparisons Reviews of AI tools, side-by-side comparisons, pricing guides, and short lists of tools for specific jobs. ### Posts - [Codex vs Claude Code vs Cursor: Workflows, Guardrails and Prices](https://www.zarifautomates.com/blog/codex-vs-claude-code-vs-cursor.md): Codex, Claude Code and Cursor compared from their docs: how each would handle one disclosed task, their guardrails, and plan prices checked September 2026. - [Perplexity Pro Review: Better Than Free Search?](https://www.zarifautomates.com/blog/perplexity-pro-review-better-than-free-search.md): What Perplexity Pro adds over the free plan as of September 2026: price, models, credits and limits, plus a checklist for deciding whether to pay. - [Zapier Pricing Guide: Plans, Limits, and Best Value](https://www.zarifautomates.com/blog/zapier-pricing-guide-plans-limits-and-best-value.md): Zapier pricing explained: what each plan includes, how tasks are counted, what happens when you run over, the AI add-ons, and which tier fits you. - [Best AI Tools for Translation and Localization](https://www.zarifautomates.com/blog/best-ai-tools-for-translation-and-localization.md): Compare AI translation and localization tools for websites, apps, documents and enterprise workflows, with prices checked September 27, 2026. - [Claude Code vs GitHub Copilot: AI Coding Compared](https://www.zarifautomates.com/blog/claude-code-vs-github-copilot-ai-coding-compared.md): Claude Code vs GitHub Copilot: a terminal agent against an editor assistant, with current models, plan prices checked September 27, 2026, and who should pay. - [n8n vs Zapier: Pricing, Features and Who Should Use Each](https://www.zarifautomates.com/blog/n8n-vs-zapier.md): n8n vs Zapier with prices checked September 27, 2026: how each one bills, the math at four volumes, the AI features, and who should pick which. - [Claude Managed Agents vs n8n: The Real Difference](https://www.zarifautomates.com/blog/claude-managed-agents-vs-n8n.md): Claude Managed Agents vs n8n: what each one does, pricing checked September 2026, when to use which, and how n8n can call a managed agent. ## Tool Profiles - [Datalab](https://www.zarifautomates.com/tools/datalab.md): Managed document-intelligence APIs for conversion, structured extraction, segmentation, form filling, and versioned processing pipelines. ## Glossary Terms - [Agent Development Environment](https://www.zarifautomates.com/glossary/agent-development-environment.md): A loose label for where an AI agent gets built, run or tested. People use it for three different things, so say which one you mean. - [Agentic AI](https://www.zarifautomates.com/glossary/agentic-ai.md): Agentic AI is AI that takes a goal, plans the steps, uses tools and checks its own progress, instead of answering one prompt and stopping. - [AI Automation](https://www.zarifautomates.com/glossary/ai-automation.md): AI automation is a workflow where an AI model handles a step that used to need a person, like reading an email and deciding what to do with it. - [Large Language Model](https://www.zarifautomates.com/glossary/large-language-model.md): A large language model (LLM) is an AI trained on huge amounts of text to predict the next word, which lets it read, write and answer questions. - [n8n](https://www.zarifautomates.com/glossary/n8n.md): n8n is a source-available automation tool. You connect apps, APIs and AI models as boxes on a canvas, and you can run it on your own server. - [Prompt Engineering](https://www.zarifautomates.com/glossary/prompt-engineering.md): Prompt engineering is writing the instructions you give an AI model so it returns the answer you need, in the format you need, every time. ## Feeds - [RSS Feed](https://www.zarifautomates.com/rss.xml) - [JSON Feed](https://www.zarifautomates.com/feed.json) - [Changelog](https://www.zarifautomates.com/changelog.json) ## Content Standards Check article dates and linked primary sources before acting on time-sensitive details.