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 Agent Compliance Audit Checklist
A compliance audit for an AI agent asks one blunt question over and over: can you prove it? Not "do you have access controls" but "show me who could reach this agent last quarter." Not "do you handle data carefully"…
Gravity vs MultiOn: Web-Action API vs Agent Platform
MultiOn is one of the more ambitious web-action agent products to come out of the recent wave. Founded by Div Garg and Naman Garg, it set out to give developers an Agent API that takes real actions on the web:…
Gravity vs Decagon: Enterprise Support AI vs Platform
Decagon is one of the more credible AI customer-support products shipping in 2026. It was founded in 2023 by Jesse Zhang and Ashwin Sreenivas, and it builds AI support agents that resolve customer issues for…
Gravity vs Cognosys: Research Agents vs Agent Platform
Cognosys is a capable autonomous agent for web research and task automation, aimed at individuals and prosumers. You can set up agents that run research, generate reports and summaries, schedule recurring runs, and…
Gravity vs Cognigy: Contact-Center AI vs Agents
Cognigy is one of the most capable enterprise conversational-AI platforms shipping in 2026. Built in Germany, its product, Cognigy.AI, is designed for contact centers and covers both voice and chat, with a low-code…
Gravity vs Bland AI: Voice Agents vs Platform
Bland AI is one of the strongest AI voice products shipping in 2026. It is a developer platform for building automated phone-calling agents: voice agents that make and receive real phone calls for sales, support,…
Gravity vs Bardeen: Browser Automation vs Agents
Bardeen is one of the most capable no-code browser automation tools shipping in 2026. It started as a popular Chrome extension for scraping web pages and running "playbooks" across the apps you already use, with a…
Gravity vs Ada: CX Automation vs Agent Platform
Ada is one of the more mature customer-service automation platforms shipping in 2026. Founded in Toronto in 2016 by Mike Murchison and David Hariri, it was an early mover in this category, and that head start shows…
Best AI Agents for Customer Support in 2026: Buyer Guide
Customer support is the function where AI agents have moved fastest from demo to production. By 2026 the market has split into a few clear shapes: enterprise CX platforms that resolve tickets end to end, AI layers…
AI Agent Market Consolidation Watch 2026: A Tracker
The AI agent market grew loud in 2023 and 2024, with new frameworks, labs, and startups announcing roughly every week. By 2026 the noise has started to resolve into structure. Some of the most-hyped names have been…
AI Agent for Segment Event Monitoring
Yes, an AI agent can monitor Segment event traffic for you: watching event volume by source and event name, detecting unexpected drops, spikes, or missing events, catching tracking-plan and schema violations such as…
AI Agent for Quarterly OKR Tracking
Yes, an AI agent can track quarterly OKRs end to end: pulling each key result's current value from its source, computing progress and pace against the target, flagging the key results that are falling behind,…
AI Agent for PandaDoc Proposal Follow-Up
Yes, an AI agent can run PandaDoc proposal follow-up end to end: it watches each proposal for status changes and open events through the PandaDoc API, sends timed and context-aware follow-ups, alerts the rep the…
AI Agent for Outlook Email Triage
Yes, an AI agent can triage your Outlook inbox: reading each incoming message, classifying it by sender, topic, and intent, then prioritizing what needs a reply, routing it to the right folder or category, and…
AI Agent for Gusto Employee Onboarding
Yes, an AI agent can run the Gusto onboarding flow for each new hire: when someone is added, the agent opens the onboarding checklist, chases the missing documents and signatures, reminds managers to provision…
AI Agent for DocuSign Contract Tracking
Yes, an AI agent can track DocuSign contracts end to end: monitoring each envelope's status, chasing signers who have not signed, alerting you when an agreement stalls or a deadline approaches, logging completed…
AI Agent for Datadog Incident Summaries
Yes, an AI agent can turn a Datadog alert into a usable incident summary: when a monitor or incident fires, the agent pulls the triggering alert, the relevant metrics around the event window, and the related log…
AI Agent for Board Meeting Prep
An AI agent can take board meeting prep from a multi-day scramble down to a reviewable draft. It gathers the recurring inputs that go into every deck, financials, KPIs, pipeline, hiring, and product progress, from…
AI Agent for Amplitude Funnel Alerts
Yes, an AI agent can watch an Amplitude conversion funnel for you: pulling step-by-step conversion rates through the Amplitude API, comparing each step against its recent baseline, and alerting the right owner the…
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…
AI Agent vs Autonomous System: The Difference
An AI agent is a software system that perceives its environment, reasons about a goal, and takes actions using tools or APIs, typically with human oversight available at key steps. An autonomous system operates…
AI Agent Grounding and Hallucination Control
Grounding is the practice of tying an AI agent's outputs to verifiable external sources: retrieved documents, live tool results, database records, or structured reference data. Hallucination is the opposite…
AI Agent for Trello Board Automation
An AI agent can automate the repetitive card management work that keeps a Trello board running: creating and routing new cards to the right list, moving cards when their status changes, sending due-date nudges to…