Notes on getting work done by agents
Comparisons, prices as of this month, and what actually works when you hand a task to an AI agent. Written by the people who build and test them.
AI Agents for Travel Agencies: 2026 Guide
A travel advisor's real product is judgment: knowing which resort suits a honeymoon, which layover is worth the savings, which supplier answers the phone when a flight cancels. Yet most of an advisor's day disappears…
AI Agents for Insurance Brokers: 2026 Guide
Insurance broking is an admin-heavy trade. An independent broker juggles multiple carriers, chases documents that never arrive on time, and tracks renewal dates across hundreds of clients. The job is advice and…
AI Agents for Event Planners: 2026 Guide
Event planning is a high-volume coordination job dressed up as a creative one. For every hour you spend on design or guest experience, you spend several more chasing vendors, updating spreadsheets, and answering the…
How to Version AI Agent Prompts (Prompt Version Control)
A prompt is not documentation; it is the logic of the agent. Change a line and you change how the agent behaves, sometimes for the better, sometimes in ways you only notice three days later when results quietly…
How to Test an AI Agent Before Going Live (Launch Readiness)
An agent that passes every test in the lab can still fail on its first real day. Test data is tidy; the real world is not. Going live is its own discipline, separate from proving the agent works on known cases, and…
How to Chain AI Agents for Complex Tasks (Orchestration Tutorial)
Some jobs are too big for one agent. Producing a competitor analysis means researching several companies, summarising each, and assembling a comparison; doing all of that in a single agent stretches it thin and makes…
How to Build a Multi-Step AI Agent Workflow (Step by Step)
Most useful agent work is not a single action. Chasing an overdue invoice means pulling the ledger, finding what is overdue, drafting a message for each client, sending it, and logging the result. That is a…
How to Add Human-in-the-Loop to an AI Agent (Approval & Escalation)
The fastest way to lose trust in an agent is to let it do something irreversible that it got wrong. The fix is not to supervise everything, which would defeat the point of automating, but to design the agent so a…
Deterministic vs Probabilistic AI Agents: Predictability Trade-offs
Ask the same agent to do the same thing twice. If it does exactly the same thing both times, it is deterministic. If it might take a slightly different path the second time, it is probabilistic. That single property,…
AI Agent Planning vs Execution: The Cognitive Architecture Split
Every agent has to answer two different questions. First, what should I do to reach this goal. Second, how do I actually do it. The first is planning. The second is execution. They look like one smooth motion from…
AI Agent Context Window Management: Memory and Context Strategies
An AI agent can only think about what fits in front of it. That "in front of it" is the context window: the span of text the model reads before deciding its next move. For a quick question it never fills up. For a…
AI Agent Composability Explained: Building Agents from Reusable Parts
A useful AI agent is rarely one giant instruction. Underneath, the good ones are assembled from smaller parts: a tool that reads a calendar, a tool that sends an email, a packaged routine for drafting a reply, a…
What Is an AI Agent Swarm? A Plain-Language Guide
An AI agent swarm is several agents working in parallel toward a shared goal, coordinating through a shared environment, messages, or a supervisor, with useful behavior emerging from their interaction rather than…
AI Agent vs Software Robot: What's the Difference?
The one-line distinction is this: a software robot replays a fixed script of clicks and keystrokes, while an AI agent reasons about a goal and decides its own steps at run time. The robot follows a recording. The…
AI Agent vs Digital Worker: What's the Difference?
Here is the one-line distinction. A digital worker is a vendor's marketing package: a named, human-shaped persona, say an accounts-payable clerk, that bundles automation, often RPA bots, with some AI on top. An AI…
AI Agent Architecture Patterns Explained (ReAct, Plan-and-Execute, Reflection)
An AI agent is not one thing. Under the surface, the agent follows a control structure that decides how it reasons, when it calls tools, whether it checks its own work, and how it splits a job into smaller jobs. That…
AI Agent for WordPress Comment Moderation: How It Works
Comments are the part of a WordPress site that never sleeps. They arrive overnight, on weekends, and in bursts after a post does well, and a chunk of them are spam, a smaller chunk are abuse, and the rest are the…
AI Agent for Twitter Mention Monitoring: How It Works
On X (Twitter), the gap between a mention and a reply is where reputations are made or lost. A frustrated customer tweets, a journalist quotes you, a prospect asks how you compare to a rival, and a bot tags you to…
AI Agent for Stripe Subscription Churn Prevention: How It Works
By the time a customer clicks cancel, the decision was made weeks ago. The card that failed three times, the plan that got downgraded, the seats that stopped logging in, the support ticket that never quite got…
AI Agent for Shopify Review Response: How It Works
A new product review lands on your Shopify store. Now the clock starts. A happy five-star note deserves a warm thank-you while the buyer still feels good. A two-star complaint about a torn seam needs a calm reply…
AI Agent for LinkedIn Recruiter Outreach: How It Works
Sourcing eats a recruiter's day. You read a role brief, search for people who fit it, read profile after profile, write a first message that does not sound like a template, wait for replies, chase the silent ones,…
AI Agent for Google Sheets Data Validation: How It Works
A spreadsheet is honest about almost everything except its own quality. The rows look fine until a date is stored as text, an email is missing the @ sign, a price has a stray currency symbol, or the same customer…
AI Agent for Xero Invoice Reconciliation
Bank reconciliation is the chore that eats a bookkeeper's week and rewards none of the effort. Most lines match an invoice cleanly: same amount, the invoice number sitting right there in the bank narration. The work…
AI Agent for Webflow Form Routing: How It Works
A Webflow form is the easy part. The hard part is what happens in the thirty seconds after someone hits submit: is this a sales lead or a support question, has this person contacted you before, which channel should…
AI Agent for Slack Standup Collection
The daily live standup is a tax on a distributed team. It interrupts deep work, forces people across timezones into one awkward slot, and most of what gets said is status that could have been read in thirty seconds.…
AI Agent for Notion Project Tracking: How It Works
A Notion projects database is only as useful as the moment someone last looked at it. Status fields drift out of date, due dates pass quietly, and the one project that is actually on fire looks identical to the forty…
AI Agent for lemlist Campaign Optimization
Cold email is unforgiving. A campaign that looks fine on Monday can be burning sender reputation by Friday, and you only notice when reply rates fall off a cliff. The work of catching that early is pure monitoring:…
AI Agent for HubSpot Deal-Stage Nudges
Deals do not usually die from a hard no. They die quietly, sitting in a stage while the rep gets pulled onto something louder, until the close date passes and everyone pretends it was never real. The fix is…
AI Agent for GitHub Issue Labeling: How It Works
The issue tracker is where a project's first impression lives, and an untriaged tracker reads as neglect. New issues arrive with no labels, half of them missing the version or the steps to reproduce, some of them…
AI Agent for Calendly No-Show Follow-Up
A no-show is a small wound that bleeds quietly. The prospect who missed your call was interested enough to book, and if nobody follows up in the next day, that intent cools to nothing. The follow-up is simple and…