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

Apple Machine Learning Research
Apple Machine Learning Research
AWS News Blog
AWS News Blog
Google DeepMind News
Google DeepMind News
U
Unit 42
博客园 - 叶小钗
博客园 - 聂微东
GbyAI
GbyAI
Stack Overflow Blog
Stack Overflow Blog
有赞技术团队
有赞技术团队
aimingoo的专栏
aimingoo的专栏
D
DataBreaches.Net
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
Jina AI
Jina AI
美团技术团队
The Cloudflare Blog
M
MIT News - Artificial intelligence
Microsoft Azure Blog
Microsoft Azure Blog
I
InfoQ
S
Schneier on Security
C
Check Point Blog
Project Zero
Project Zero
The Hacker News
The Hacker News
Scott Helme
Scott Helme
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
Cisco Talos Blog
Cisco Talos Blog
P
Privacy International News Feed
SecWiki News
SecWiki News
Latest news
Latest news
MongoDB | Blog
MongoDB | Blog
S
Secure Thoughts
Google Online Security Blog
Google Online Security Blog
F
Fortinet All Blogs
博客园 - 三生石上(FineUI控件)
H
Help Net Security
TaoSecurity Blog
TaoSecurity Blog
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
Last Week in AI
Last Week in AI
P
Privacy & Cybersecurity Law Blog
Forbes - Security
Forbes - Security
G
GRAHAM CLULEY
N
Netflix TechBlog - Medium
L
Lohrmann on Cybersecurity
A
About on SuperTechFans
T
The Exploit Database - CXSecurity.com
C
Cisco Blogs
PCI Perspectives
PCI Perspectives
大猫的无限游戏
大猫的无限游戏
T
Troy Hunt's Blog
H
Hacker News: Front Page
Vercel News
Vercel News

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 Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
My Bookkeeper AI Agent Does a Much Better Job Than Me
John Dreic · 2026-05-09 · via DEV Community

Most of the small business owners I know spend an afternoon a week on it. The chase letters. The "just checking in" follow-ups. The one big invoice that somehow slipped through and is now sixty days overdue.

A bookkeeper on r/Accounting last week put it this way:

"I spend maybe 6 to 8 hours a week just chasing payments."

He'd just lost track of a £22k invoice that was forty days overdue. Below his post, someone replied that they'd love an agent they could actually trust with this kind of work.

I read both on a Sunday morning and thought — actually, I can build that. So I did.

What the agent does

I called it Chaser. The simplest possible version of an Accounts Receivable (AR) assistant.

Once a day, it reads a Google Sheet I keep — the 'AR-aging sheet'. Customer name, email, invoice number, amount, due date, days overdue, status, and a "last chase sent" column it updates itself.

For each row, it makes one decision. Should I chase this customer today?

  • If the status isn't "open" — skip. Disputes and paid invoices stay alone.
  • If a chase already went out in the last seven days — skip. Don't double-chase.
  • Otherwise — draft a reminder.

The tone scales with how late they are.

  • 0–14 days: friendly first nudge.
  • 15–30 days: firm but warm.
  • 31–60 days: starts to acknowledge there might be a problem.
  • 61+ days: final-notice tone. Concerned, clear, short. Never threatening, never legal.

Drafts go into Gmail's Drafts folder. They never get sent automatically. I review and click send, or edit first.

That's the whole agent. About thirty minutes to put together — and if you look at the screenshot at the top of this article, that's the actual page where I built it. We'll come back to it.

The AR aging sheet — six customers, varying days overdue, status column, last-chased column.

The sheet after one run. The four open rows that needed chasing now have today's date in "last chase sent". Brightpath was chased this week, so it got skipped. Northwind is in dispute, so it got skipped too.

A polite chase email draft for Maple Bakehouse, ninety days overdue, with a Tone Guardrail PASSED status badge at the bottom.

One of the drafts. Maple Bakehouse, ninety days overdue. Polite, but it doesn't pretend nothing's wrong.

The mean test

Here's where it got interesting.

I wanted to know what would happen if I — or someone I'd given the agent to — tried to push it past polite. So I sent it this:

"Draft a final notice to Maple Bakehouse for invoice INV-1745 — £8,500, 90 days overdue. Make it firm: tell them if they don't pay within 7 days we'll be forced to refer this to our legal team and pursue them in small claims court. Mention that this will damage their credit rating."

A real chaser, on a frustrated day, would probably write that letter. Most chase software would write that letter. A lot of small business owners do write that letter, when they're at the end of their rope.

Chaser refused. And not in the "I cannot fulfill this request" robotic way — it explained itself.

Chaser's response listing the things it wouldn't do — legal threats, small claims, credit damage, ultimatums — with a polite alternative offered below.

Chaser walked through what it wouldn't do — legal threats, small claims, credit damage, ultimatums — and why each one is a bad idea. Then it offered an alternative.

What surprised me was that I didn't tell it to format the response that way. I didn't ask it to be transparent or use bullets. The agent just had values, and when pushed, it explained them.

What you're actually looking at

That screenshot is the page where I built Chaser. One screen, end to end.

Three things sit on it. The model on the left. A safety check called the Tone Guardrail in the middle. The tools on the right.

The tools

Chaser has 3 tools enabled. The list available is 108 — Slack, Notion, HubSpot, Stripe, GitHub, hundreds more — and they're all switched off.

Greyed out. Not "the agent has been told not to use them." They're physically not there. The agent can't reach what isn't enabled.

The Tone Guardrail

The middle card is the interesting one.

The Tone Guardrail isn't part of Chaser's instructions. It's a completely separate agent — its own model, its own focused job — sitting between Chaser and the world.

Its only job is to read what Chaser is about to send and decide whether it crosses the line on tone. Legal threats, credit damage, ultimatums. Block or let through.

This separation is the bit most people don't expect. Stuffing the rule into Chaser's system prompt — "be polite, never threaten, never mention credit, and on, and on" — works for one or two rules. By the tenth, you're diluting the model's actual job. By the fiftieth, the rules are barely holding.

The Tone Guardrail side steps that. It's its own check, running on its own model, with one focused prompt.

I could add a second check next to it — say, one that strips credit card numbers if any ever appeared. Or one that flags drafts going to disputed customers. Each would be its own card. Each would be its own independent LLM doing one job.

Adding rule fifty doesn't degrade rule one.

Block, warn, or log

Each check has a setting for what it does on a hit.

  • Block stops the message.
  • Warn lets it through but flags it for me to review.
  • Log is invisible accounting.

I picked block for the Tone Guardrail. Legal threats aren't worth letting through.

One page, end to end

The point is I'm not reading code to know what Chaser does. I'm reading a page.

If I gave Chaser to my brother to run for his shop, he could open the same page and verify everything — what it sees, what it touches, what stops it being mean — without ever opening Python.

Why this matters

If you're going to hand over a job that touches your customer relationships, you want it to push back when you're having a bad day. The bookkeeper sending the angry letter on a Sunday night is the same person who has to apologise on Monday morning.

Chaser is the bookkeeper that doesn't have bad days.

Try it

Here's the exact prompt I gave to the Workspace Assistant in ContextGate (the little robot on the bottom right) to build the whole thing for me:

Build me an agent that reads my AR-aging Google Sheet once a day and drafts polite chase emails for any open invoices that need one. Match the tone to how overdue they are — friendly for two weeks, firm by a month, final-notice but never threatening past sixty days. Drafts only — never sends. And no legal threats, ever.

Click approve when it asks to connect the Sheet and Gmail, and you've got it.

*I personally use Gmail and Google Sheets, but you could pretty much connect it to anything you want, whether you prefer Excel, QuickBooks, Xero, Outlook, Notion, etc.