Building autonomous AI agents. Notes from the team building Gravity. AI workflows, the future of recurring work, and what we learn along the way.
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:…
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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…
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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…
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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…
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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,…
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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…
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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…
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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…
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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…
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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…
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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,…
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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…
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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…
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Yes, an AI agent can draft your monthly investor update: pulling the recurring metrics from their sources, assembling the standard sections, and writing the narrative in your voice from a template, while flagging…
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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…
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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…
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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…
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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…
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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…
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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…
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To set up a multi-agent handoff, split the job at the points where the work changes character, define a clear contract at each boundary stating what data and state pass and what "done" means, pass the finished…
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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:…
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A fallback chain is an ordered list of backup steps an AI agent runs when its first approach fails. The pattern is primary, then secondary, then tertiary: try the preferred method, and if a defined failure condition…
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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…
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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…
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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…
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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…
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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,…
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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…
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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…
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