AI agent tutorials
Practical how-to guides for setting up, configuring, debugging, and running AI agents in 2026. Every guide is tested. Every guide is short. Most apply to any AI agent platform; some are Gravity-specific and marked.
How to Connect an AI Agent to HubSpot (Minimum Scopes)
An agent that logs meetings and nudges stale deals gives a RevOps team hours back every week. An agent holding a full-scope token to your CRM is one bad prompt away from overwriting a quarter of lifecycle stages. The…
How to Connect an AI Agent to Notion (Safely)
Most teams connect their first agent to Notion in ten minutes, then discover a week later that it either sees the entire workspace or silently reads only the first hundred rows of a database. This guide is the safe…
How to Build a Research Agent (Step by Step)
To build a research agent, you set up one repeatable pattern: gather information from defined sources, verify it, then synthesize a summary you can trust. In practice that means deciding the exact research question,…
How to Share an AI Agent With Your Team
To share an AI agent with your team, give most people run access and reserve edit access for one or two owners; run the agent on a shared team plan so billing is centralized and attributed per run; and keep a shared…
How to Set Up AI Agent Notifications
To set up AI agent notifications well, decide three things: which events deserve an alert, which channel each event goes to, and who needs to act on it. The events worth notifying on fall into four classes:…
How to Rate Limit Your AI Agent
To rate limit an AI agent, put three caps in front of every action it takes: a request-per-minute cap so it stays inside the quotas of the models and APIs it calls, a concurrency cap so it never runs more tasks at…
How to Give an AI Agent Access to Multiple Tools
To give an AI agent access to multiple tools, you connect each tool or API one at a time, scope its permissions to the least privilege it needs, give the agent a clear description of what each tool does so it can…
How to Debug AI Agent Tool Errors
To debug an AI agent tool error, read the run trace to find the earliest step that failed, identify which class of error it is, reproduce that single tool call in isolation, then fix it at the layer where the fault…
How to Create an AI Agent From a Template
To create an AI agent from a template, pick a prebuilt agent that already does the job you want, then customize four things: the inputs it reads, the trigger that starts it, the tools and accounts it connects to, and…
How to Connect an AI Agent to a Database
To connect an AI agent to a database safely, give it a dedicated, scoped credential, start with read-only access, expose the schema so it writes correct queries, validate and parameterize every query before it runs,…
How to Build an AI Agent With Memory
To build an AI agent with memory, you build two layers and connect them. The first is short-term working memory, the text the agent holds inside its context window during a single run. The second is long-term…
How to Measure AI Agent Accuracy
Most people who ask how accurate their AI agent is are really asking the wrong question. They reach for a model benchmark number, a leaderboard score, a percentage from a vendor deck. None of that tells you whether…
How to Set AI Agent Spending Limits
To set spending limits on an AI agent, give it three controls that work together: a per-run cap so one task cannot run away, budget caps so total spend stays inside a day and a month, and an auto-pause that stops the…
How to Schedule AI Agent Runs With Cron
To schedule an AI agent with cron, you write a five-field expression that says when the run should fire, attach it to the agent, and set the time zone explicitly. A cron schedule turns a one-off agent into a…
How to Handle AI Agent Errors Gracefully
An agent that never fails does not exist. APIs time out, tools return garbage, a model invents a step that was never asked for, and a permission check blocks an action halfway through a task. The question that…
How to Create an AI Agent Team Workspace
A team workspace for AI agents is a shared space where everyone buys, runs, and governs the same agents under one set of rules, instead of each person quietly building their own. The short answer to "how do I create…
How to Connect an AI Agent to a Private API
Connecting an AI agent to a private API is what turns a chatbot into something that does real work. The agent stops describing what could happen and starts reading your inventory, creating tickets, or pulling a…
How to Build an AI Agent for a Data Pipeline
A data pipeline moves data from where it lives to where it is useful, cleaning and checking it on the way. The hard part is rarely the happy path. Sources change a column name overnight, a feed sends half its usual…
How to Audit an AI Agent's Decision History
To audit an AI agent's decision history, you reconstruct a single run from its log: the input it received, the plan it formed, every tool it called with the arguments and results, the final output, who triggered it,…
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…
How to Monetize AI Agents in 2026: Builder Guide
If you can build an AI agent in n8n, LangChain, make.com, or any of the other workflow tools that have eaten the last three years, you can earn from it. The path from a working workflow to actual recurring revenue is…
How to Connect an AI Agent to Slack (Safely)
Most teams connect their first agent to Slack in 30 minutes using a personal token, then spend three weeks unpicking the consequences. This guide is the safe path from start: a bot app, narrow scopes, allow-listed…
How to Update an AI Agent When Your Process Changes
Processes change. New CRM field, new approver, new review step, new tool. The agent that was right last quarter is silently wrong this quarter, and the gap shows up as runs that look fine on the surface but produce…
How to Test an AI Agent Before You Deploy It
An AI agent that has not been tested is an AI agent waiting to do something embarrassing or expensive on your behalf. Testing an agent looks different from testing software because the agent does not have a fixed…
How to Restrict an AI Agent to Business Hours
Restricting an AI agent to business hours is one of the cheapest reliability wins available. Most agent incidents are not catastrophic; they are awkward. An automated follow-up arriving at 3 a.m. looks like spam. A…
How to Write a Prompt for a Recurring AI Agent (That Won't Drift)
One-shot prompts and recurring agent prompts look the same on the page and behave differently in practice. A one-shot prompt runs once; you see the output; you re-prompt if it is wrong. A recurring agent prompt runs…
How to Stop an AI Agent Mid-Task (Without Breaking State)
An agent stopped mid-task is not the same as an agent that finished. If the agent has already taken some actions and not others, the world is in an inconsistent state. A flight booked, a hotel not yet booked. A label…