惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

I
InfoQ
S
SegmentFault 最新的问题
N
Netflix TechBlog - Medium
B
Blog
Jina AI
Jina AI
人人都是产品经理
人人都是产品经理
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
H
Hackread – Cybersecurity News, Data Breaches, AI and More
博客园 - 聂微东
Last Week in AI
Last Week in AI
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
V
V2EX
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
大猫的无限游戏
大猫的无限游戏
U
Unit 42
J
Java Code Geeks
IT之家
IT之家
aimingoo的专栏
aimingoo的专栏
博客园 - 叶小钗
T
The Blog of Author Tim Ferriss
博客园 - 【当耐特】
Hugging Face - Blog
Hugging Face - Blog
WordPress大学
WordPress大学
腾讯CDC

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
I Built an AI CRM That Runs Itself Using MeDo
Ruita Wachir · 2026-05-20 · via DEV Community

Ruita Wachira

Most CRMs feel like spreadsheets with extra suffering.

You meet a client, then spend the next 5 minutes:

  • creating a lead
  • updating stages
  • adding reminders
  • writing notes
  • setting follow-ups

I wanted to explore a different approach:

What if the CRM handled all of that automatically?

So I built Ghost Mode CRM using MeDo — an AI-powered CRM where you simply type what happened, and the system organizes everything for you.

Example:

“Met John in Westlands, needs cement in 2 weeks”

Enter fullscreen mode Exit fullscreen mode

The system instantly:

  • creates a lead
  • extracts the location
  • schedules a follow-up
  • updates the pipeline
  • calculates a lead score
  • generates AI follow-up suggestions
  • places the lead on an interactive Nairobi map

Why I Built It

Most sales workflows are naturally conversational.

But traditional CRMs force users into rigid forms and repetitive admin work.

I wanted to see what happens when the CRM becomes:

  • conversational
  • AI-native
  • proactive
  • lightweight

Instead of manually configuring everything, the user simply communicates naturally and the system structures the workflow automatically.


Built with MeDo

I used MeDo to rapidly prototype and build the application experience.

The UI was inspired by:

  • Attio → structured CRM design
  • Notion → conversational interaction
  • Pipedrive → visual pipelines

The app includes:

  • AI-powered lead creation
  • Kanban pipeline management
  • Lead scoring
  • Intelligent reminder rules
  • Bulk email workflows
  • Interactive lead map visualization
  • Dark mode support
  • CSV export
  • Activity timelines

One of the Hardest Challenges

Natural language automation sounds simple until one sentence affects multiple systems.

Example:

“Call James next week about paint delivery”

Enter fullscreen mode Exit fullscreen mode

That single sentence impacts:

  • lead updates
  • reminder creation
  • scoring
  • pipeline stages
  • task scheduling
  • timeline parsing

Designing the logic flow around conversational input became one of the most interesting parts of the project.


Unexpected Favorite Feature

The Nairobi lead map became one of my favorite parts of the build.

Visualizing:

  • hot leads
  • geographic clusters
  • sales zones

…turned CRM data into something strategic instead of administrative.


Try It Out

Live Project: [Ghost-CRM]
Try Out MeDo: [medo.dev]


Final Thought

AI tools shouldn’t just generate content.

They should remove friction from real workflows.

Ghost Mode CRM was an experiment in making business software feel less like software — and more like a smart assistant quietly working in the background.