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Product launches, architecture deep dives, and how-to guides from the team building the AI workforce platform.
How to Build an AI Coding Agent That Actually Ships
Most AI coding tools generate code. Very few ship it. Here's the architecture behind an AI agent that writes, tests, deploys, and monitors production software autonomously.
Read more260 MCP Tools: The Unfair Advantage Over Copilot and Cursor
Model Context Protocol gives AI agents access to 260+ tools — databases, APIs, cloud providers, browsers, and more. Here's why MCP changes everything for agentic coding.
Read moreThe Real Cost of AI Coding Agents in 2026
Devin costs $500/mo. Cursor costs $20/mo. Claude Code costs $20/mo. We broke down every AI coding agent's real cost — including the hidden fees nobody talks about.
Read moreDeploy an AI Marketing Agent on Discord, Slack, and Telegram
Step-by-step guide to deploying an AI marketing agent across Discord, Slack, and Telegram. One bot, persistent memory, every channel — in under 10 minutes.
Read moreAI Content Automation: From Blog Posts to Ad Copy in One Agent
One AI agent that writes blog posts, generates social media content, creates ad copy, writes email sequences, and optimizes for SEO — all from a single prompt.
Read moreThe $50K Marketing Stack vs One AI Agent
We analyzed what companies actually spend on marketing tools and compared it to running a single AI marketing agent. The savings are staggering — $75K+/yr.
Read moreHanzo Bot vs Every AI Coding Agent
Cursor costs $20/mo. Claude Code costs $20/mo. Copilot costs $19/mo. Devin costs $500/mo. Hanzo Bot starts free and does more at $15/mo. Here's the full breakdown.
Read moreAI Marketing Agents: Automate Your Growth Stack
Stop paying $50K/yr for marketing tools. Deploy an AI marketing agent that handles content, campaigns, analytics, and engagement across every channel for $15/mo.
Read moreCrypto Skills: Agents Go Onchain
Pay, trade, build apps — no human in the loop. Agents can now use crypto autonomously with USDC on Base via x402.
Read moreThe Vertically Integrated AI Cloud
What every agentic harness actually needs — and why owning the full stack from LLM gateway to compute tiers changes everything.
Read moreIntroducing Hanzo Bot
Your AI team in a box — one bot, every role, every channel. Deploy autonomous AI agents that run locally or in the cloud.
Read moreThe Road to Hanzo Bot: Ten Years of Building AI Infrastructure
From the first Hanzo API in 2014 to Jin hypermodal research, Zen MoDE models, Enso diffusion, and a 260-repo AI platform — the full story of how Hanzo Bot was born.
Read moreZen MoDE: 47 Models, One Architecture
Inside Zen — Mixture of Distilled Experts (MoDE) architecture that activates only the parameters it needs. 47 models spanning text, code, vision, audio, video, 3D, and agents.
Read moreAgent SDK: Multi-Agent Orchestration with 260+ MCP Tools
How we built a Go-based agent SDK that coordinates multiple AI agents with shared memory, tool delegation, and 260+ MCP tools — the orchestration layer behind Hanzo Bot.
Read moreOperative: Giving AI Eyes and Hands
We built a full computer-use stack — Operative, CUA, ACI, and Overlord — so AI agents can see screens, click buttons, type text, and automate browsers. Open source.
Read moreEnso: From Diffusion LLM to AI-Native Browser
Enso started as a dLLM — a diffusion language model for text generation. It evolved into an AI-native browser with diffusion intelligence built into the rendering engine.
Read moreJin: Our Hypermodal AI Architecture
Inside Jin — a unified hypermodal architecture built on JEPA principles that processes text, images, audio, video, and 3D through shared representations. Not multimodal. Hypermodal.
Read moreLLM Gateway: 391 Models, One API
Why we built a unified LLM gateway that routes to 391 models — 47 Zen and 344 third-party — through one API. Automatic fallback, cost tracking, and budget controls built in.
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