Your Next Hire Should Be an AI Agent

At MarkovML, we’ve seen firsthand how AI agents can supercharge team productivity.
Our 26-person team now operates with the efficiency of a 100-person org—and no, that’s not just hype. It’s the result of deeply embedding AI agents across every function: marketing, ops, product, sales, even customer support.

We believe this is the biggest shift in organizational leverage since cloud computing. And it’s time every company—big or small—starts rethinking how work gets done.

What Exactly Is an AI Agent?

Think of an AI agent as a digital teammate.
Not just a chatbot. Not some dusty macro from your ops playbook.

A real AI agent is:

• Autonomous: it runs tasks without constant hand-holding.
  
  
• Multi-step capable: it can plan, iterate, and course-correct on the fly.
  
  
• Context-aware: it knows your tools, documents, and workflows.
  
  
• Composable: it can collaborate with other agents as part of a system.
  
  

In short: an AI agent doesn’t just help you do the work.
It does the work with you.

Two Smart Ways to Start Using Best AI Agents

If you’re exploring how to bring agents into your organization, there are two great starting points:

1. Custom-Built Agent Frameworks

Use open frameworks or platforms to design agents tailored to your internal workflows.
This approach works best if you’ve got a strong engineering team or complex, unique processes.

2. Plug-and-Play Agent Tools

These are ready-made tools built for specific business functions like sales, marketing, or support.
They’re easy to implement, require minimal setup, and deliver ROI fast.

What We’re Watching at MarkovML

We’ve tested hundreds of AI solutions—and we’re excited about what’s possible.
Next up: we’ll share our top picks by function, so you can explore what’s working in the real world.

1. No-Code Agent Builders

​​Let anyone—not just engineers—build and deploy powerful AI agents. These tools are perfect for marketing, ops, and support teams who want to automate without writing code.

• MarkovML: Our own platform lets teams go from data to decisions using no-code AI agents. Whether it’s marketing analytics, workflow automation, or GTM intelligence, MarkovML helps you build, deploy, and orchestrate agents—without engineering support. And for teams who want to get started fast, we offer a growing library of prebuilt apps tailored to key use cases, so you can plug in your data and go.
  
  
• Relevance AI: Build scalable agent workflows for data-heavy tasks like customer segmentation, insights extraction, and reporting. Great for ops teams and analysts looking to streamline workflows without dev help.
  
  
• n8n: A powerful, open-source automation tool with a visual interface. Think Zapier, but more flexible. You can connect APIs, run conditional logic, and build advanced multi-step workflows—no coding required.
  
  
• Lindy: Your personal AI executive assistant. Lindy can schedule meetings, draft emails, take meeting notes, and more. Built for busy professionals looking to offload repetitive tasks.(they’re hiring!)
  
  
• Wordware (YC S24) : Building AI teammates that actually work with you. Think Slack bots that can understand context, manage tasks, and help across tools. Early-stage but promising for collaborative environments.
  
  
• Dify: An open-source platform that lets you create, manage, and monitor AI agents. It supports multi-modal tasks (text, files, etc.) and integrates with LLMs and vector databases. Great for teams who want flexibility and transparency.
  
  
• Taskade: Combines task management, documentation, and AI collaboration in one sleek interface. Perfect for teams who want to brainstorm, plan, and execute—all powered by AI agents.
  
  
• Google Agentspace: Google’s latest move into the agent world. Still new, but early signs show it’s aimed at helping teams build and deploy agents across Google Workspace and beyond. One to watch closely.
  
  

2. Custom Enterprise Frameworks

For companies ready to go deep, these frameworks offer the building blocks to create intelligent, multi-agent ecosystems tailored to your workflows and tools.

• StackAI: An end-to-end enterprise stack for deploying AI agents that interact with your data, APIs, and internal systems. Best for orgs looking for control, scale, and security in one platform.
  
  
• Microsoft Autogen: Enables multi-agent orchestration and agent collaboration using Microsoft’s AI stack. Especially powerful for Azure-based enterprises looking to deeply embed AI in existing infrastructure.
  
  
• LlamaIndex: Lets you connect your agents to real-time, context-rich data sources—like databases, PDFs, or knowledge bases—so they can make smarter decisions. A must-have if your agents need up-to-date info.
  
  
• CrewAI: Designed for managing teams of agents with specific roles. Ideal for workflows where multiple agents need to collaborate (e.g., a researcher agent working with a summarizer agent).
  
  
• LangChain: The original framework for building agent workflows. It supports chaining LLM calls, connecting tools, and integrating memory and state. Still one of the most robust and widely used options.
  
  
• Cohere: Known for its fast, high-quality embeddings and language models. When paired with agent frameworks, it adds powerful natural language understanding, making your agents more accurate and context-aware.
  
  

3. AI GTM Copilots

For go-to-market teams that want to move faster—from strategy to execution. These copilots help with planning, creating, and analyzing content and campaigns, all with AI on your side.

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• MarkovML: Think of it as your GTM team’s data brain. MarkovML turns your internal data—from HubSpot, Google Analytics, CRM, and campaign tools—into structured insights. You can ask natural-language questions like “Which campaign influenced the most deals last quarter?” and get answers backed by agent-powered data analysis.
  
  
• Common Room: Understand your community like never before. This platform turns raw engagement data from Slack, Discord, and social into actionable GTM insights.
  
  
• Tome: Build stunning, strategy-aligned presentations in minutes. Just describe your idea, and Tome brings it to life with visuals and narrative—ideal for pitch decks or product launches.
  
  
• Aomni: An AI research assistant for GTM teams. Get detailed market overviews, competitor intel, and trend analyses without spending hours googling.
  
  
• Copy.ai: Automate everything from blog posts to ad copy. Its campaign wizard helps marketing teams generate entire content workflows in one go.
  
  
• Jasper: Your enterprise-grade AI copilot for content marketing. It offers brand-safe, on-tone generation with collaboration features built for large teams.
  
  

4. Sales Agents

These AI tools act like autonomous SDRs—qualifying leads, booking meetings, and handling follow-ups while your reps focus on closing deals.

• Artisan: AI-powered SDRs that handle outbound from first touch to follow-up. Think of it as a full-time sales rep that never sleeps.
  
  
• Valley: A sales pipeline copilot that helps prioritize deals, suggest next steps, and keep your pipeline warm and moving.
  
  
• 11x: A fully autonomous sales agent that can generate leads, engage prospects, and even personalize outreach at scale. It’s like cloning your best SDR.
  
  
• Topo (YC W24): Designed for outbound teams, Topo uses LLMs to personalize emails and sequence outreach automatically. Early-stage but promising.
  
  
• AISDR: Handles SDR workflows end-to-end using AI agents. From qualification to scheduling, it’s built to save time without sacrificing quality.

5. Customer Support Agents

These tools handle frontline customer support—instantly, 24/7, and with accuracy. They're your digital helpdesk reps, minus the wait times and training costs.

• Intercom: Already evolving beyond chatbots into a full-stack AI support layer. Handles common queries, triage, and now even resolution paths.
  
  
• Parahelp: Multi-channel support that integrates with email, chat, and social. One agent to rule them all—across every touchpoint.
  
  
• Forethought: Uses predictive AI to route and resolve tickets before they hit your inbox. Great for reducing ticket volume and response times.
  
  
• Sierra (by Meta): A bold step toward customer-facing AI agents that feel human. Still early, but the tech and team behind it make it one to watch.
  
  
• Pylon: Combines agent automation with built-in analytics, so you’re not just solving tickets—you’re learning from them.

6. Research Agents

For teams that need fast, accurate intel—whether it’s market trends, competitor moves, or customer insights. These tools act like AI-powered analysts on demand.

• MarkovML: A powerful agent framework for competitive research. Marketing teams can use MarkovML to scrape entire websites and extract key insights—trends, themes, keywords, and positioning. Whether you're analyzing competitors, exploring new markets, or refining messaging, the platform turns raw data into actionable GTM intelligence.
  
  
• Claygent: Research anything on the web. Just ask a question, and Claygent pulls from real-time sources to summarize what you need to know.
  
  
• Airtop: Aggregates insights across internal and external data to give you a single source of truth for decisions.
  
  
• Attio: A modern, AI-enhanced CRM with built-in research capabilities. Surface customer insights and relationship history with zero manual digging.
  
  
• Exa: Rethinking web search from the ground up with an AI-first approach. It’s like having a research assistant who doesn’t just find links—it delivers answers.

7. AI Executive Assistants

They schedule meetings, draft emails, plan your week, and more—all with context.

• Tasker AI: Built for founders and execs, Tasker goes beyond reminders. It coordinates your calendar, handles repetitive tasks, and acts like a true executive assistant—minus the back-and-forth.
  
  
• Fyxer AI: Designed to feel like a high-end EA, Fyxer uses AI to manage tasks, organize priorities, and even handle inbox triage. Ideal for those who want white-glove support without the overhead.
  
  
• Shortwave: Think of it as Gmail on AI steroids. Shortwave helps you summarize threads, generate replies, and even draft thoughtful emails—in your voice. And yes, they’re hiring.(they’re hiring!)

8. Agent Marketplaces

Catalogs of ready-made agents you can deploy instantly.

• Beam AI: A one-stop shop for AI agents across functions—marketing, ops, support, you name it. Browse, test, and launch in minutes.
  
  
• sintra.ai: Drag-and-drop workflows for AI automation. Build agent pipelines visually, making it super accessible for non-technical teams.
  
  
• Lyzr AI: Offers a growing library of modular agents that plug into your stack. You can also extend and customize them to fit your exact needs.

Why This Actually Matters

Hiring best AI agents isn’t just about cutting costs—it’s about multiplying impact.

This isn’t about replacing people. It’s about helping every team member 10x their output.

The smartest companies we know aren’t treating agents as sidekicks. They’re reorganizing entire workflows around them.

This isn’t a tool upgrade—it’s a shift in how work gets done.

The companies that win the next decade will be the ones that master AI orchestration—layering agents across sales, ops, marketing, and product.

What’s Coming Next

At MarkovML, we’re building agent-native workflows across marketing ops, GTM, and internal decision-making.

The things we’re learning are game-changing—and we’re only just getting started.