Building autonomous AI agents. Notes from the team building Gravity. AI workflows, the future of recurring work, and what we learn along the way.
Most launch announcements arrive after the fact, polished and certain. This is the opposite kind of post. Gravity is still pre-launch, on a waitlist, and this is a candid look at exactly where things stand: what is…
Read post →
Google's Gemini line has moved steadily from a chat-and-completion model toward a foundation for agents: software that does not just answer but takes actions, calls tools, and works through a task. The direction has…
Read post →
"Are AI agents overhyped?" is the wrong question if you expect a yes or no. By mid-2026 the answer is plainly both. The technology is real, it does useful work every day, and the curve of what it can do has bent…
Read post →
By 2026, AI agents are no longer a question of whether but of how, and the how looks very different depending on the size of the buyer. A 40,000-person enterprise and a 12-person agency both want agents to do real…
Read post →
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,…
Read post →
There is no single best AI agent for sales teams. The right one depends on where your pipeline actually leaks: top-of-funnel sourcing, follow-up that slips on a busy day, or a CRM that nobody keeps clean. So instead…
Read post →
The best AI agent for marketers depends on where your work actually slows down. The content usually gets written; what slips is the rhythm around it: repurposing last week's post into channel-specific versions,…
Read post →
AI agent platforms diverge on six dimensions that decide fit: how you tell the agent what to do, how you pay, whether the platform is no-code or code-first, how it connects to your tools, whether it supports human…
Read post →
Yes, an AI agent can run your post-webinar follow-up end to end: it pulls the registrant and attendance lists from your webinar tool, splits them into attended and no-show segments (and sorts attendees by engagement…
Read post →
Yes, an AI agent can turn a finished podcast episode into a complete set of show notes. Hand it the transcript, or the audio with timestamps, and it returns a tight episode summary, timestamped chapters, key…
Read post →
Yes, an AI agent can analyze NPS survey responses end to end. It computes the score and splits respondents into promoters, passives, and detractors, then reads every open-text comment, groups the verbatims into…
Read post →
Yes, an AI agent can manage a content calendar end to end: tracking every planned piece and its status, owner, and deadline across the tools the calendar lives in, flagging any upcoming week with no draft, chasing…
Read post →
An AI agent can monitor churn risk by watching the signals that precede a cancellation across every system they appear in, scoring each account, and surfacing the ones trending toward churn early enough to act. It is…
Read post →
The right way to buy an AI agent platform in 2026 is to start from the job you want done, score every vendor on the same short list of criteria, and prove it with a small paid pilot before you sign anything. This…
Read post →
SaaS teams run on recurring work: onboarding new accounts, watching usage for churn signals, triaging tickets, chasing failed payments, and turning product data into reports. AI agents are built for exactly this…
Read post →
Secrets rotation is the practice of replacing an AI agent's credentials, the API keys and tokens it uses to reach models, tools, and data, with fresh ones on a schedule, and retiring the old ones. It sounds like…
Read post →
PII redaction for an AI agent is the discipline of finding personal data in everything the agent touches and stripping or masking it before it reaches a place where it should not live: the model prompt, an outbound…
Read post →
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"…
Read post →
Sierra is one of the most credible names in enterprise customer experience AI as of 2026. It was founded in 2023 by Bret Taylor, a former co-CEO of Salesforce and chair of the OpenAI board, and Clay Bavor, a former…
Read post →
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:…
Read post →
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…
Read post →
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…
Read post →
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…
Read post →
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,…
Read post →
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…
Read post →
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…
Read post →
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…
Read post →
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…
Read post →
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…
Read post →
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,…
Read post →