Building autonomous AI agents. Notes from the team building Gravity. AI workflows, the future of recurring work, and what we learn along the way.
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 Status fields drift out of date, due dates pass quietly, and the one project that is actually on fire looks identical to the forty…
Read post →
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:…
Read post →
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…
Read post →
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…
Read post →
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…
Read post →
A curated newsletter is mostly grunt work wrapped around a few minutes of taste. Somebody has to read a week of feeds, save the good links, write a tidy sentence about each one, put them in a sensible order, and…
Read post →
Taskade is a polished product, and that is worth saying plainly before drawing any line between it and Gravity. It folds projects, tasks, docs, and AI into one collaborative workspace, and in 2026 it leans hard into…
Read post →
Superagent and Gravity both have the word "agent" in their pitch, and that is roughly where the overlap ends. Superagent in 2026 is an open-source framework for AI agent safety: it blocks prompt injections, redacts…
Read post →
Of all the products Gravity is compared against, Spell.so is one of the closest in spirit. Both are built on the same instinct: stop doing repetitive work yourself and delegate it to AI. Spell.so leans into that with…
Read post →
HyperWrite, from OthersideAI, started as an AI writing assistant and grew into something broader: it still suggests and drafts text as you type, but it now also ships a Personal Assistant that can use your browser to…
Read post →
If you searched "Gravity vs Fixie.ai" expecting two head-to-head agent platforms, the honest first thing to say is that Fixie.ai is not quite the product it was pitched as a couple of years ago. The team that built…
Read post →
AutoGen is Microsoft's open-source framework for building multi-agent systems in code, and it has been one of the most influential projects in the space, the place a lot of engineers first learned to make several…
Read post →
This is an unusual comparison, because by 2026 Adept is not really a product you can choose. Adept was one of the most admired startups in the agent space: its ACT-1 demos, where an AI operated real software the way…
Read post →
The honest answer to "what is the best AI agent platform for startups" is that it depends on your team and your stage, and anyone who hands you a single ranking is selling something. I run a startup myself and I have…
Read post →
A solopreneur is not a small startup. A startup is a team trying to scale; a solopreneur is one person trying not to drown. The whole game is leverage: how do you run sales, delivery, finance, and marketing alone…
Read post →
Most platforms that let you build something to sell take the lion's share and pay you once. Gravity is built the other way around. A builder earns 21.27 percent of every run their agent completes, as profit, for as…
Read post →
Halfway through 2026, AI agents are everywhere in conversation and still mostly absent from production. That tension is the whole story. The hype says agents are running companies; the data says most are running in…
Read post →
OpenAI's Codex is a coding agent, so it is tempting for anyone who is not building developer tools to skip it. That would be a mistake. Codex is one of the clearest production examples of how to build an agent that…
Read post →
Gravity and Dust both live under the AI agent banner, but they are built for different jobs. Dust is an enterprise platform for building AI assistants grounded in your company's data, the documents, conversations,…
Read post →
Most agent demos work. That is the problem. A demo is one run, on a clean input, with the builder watching. The moment an agent goes live it meets empty fields, rate limits, contradictory instructions, and the one…
Read post →
Every few months Google runs a broad core update, the search world panics for two weeks, and then everyone goes back to writing. A Q2 2026 core update is no different in kind, only in timing. This analysis cuts past…
Read post →
Reviewed against Gartner's latest published research as of July 15, 2026.
Read post →
Enterprise adoption of AI agents in 2026 is not a single story, it is a pattern: agents enter through a few high-volume functions, run as pilots before they run as production, and live or die on governance and proven…
Read post →
When people ask which model to build an agent on, they usually want a ranking. The more useful question is which capabilities an agent actually depends on, and how a given model delivers them. Claude 4 is a strong…
Read post →
The EU AI Act is the first comprehensive AI law from a major jurisdiction, and in 2026 its obligations are no longer theoretical, they are phasing in on a fixed schedule. For anyone building or deploying AI agents…
Read post →
Founders love to publish waitlist numbers because they look like traction and demand nothing in return. I want to do the less satisfying thing: explain what an early, pre-launch waitlist genuinely tells you, what it…
Read post →
I have started over enough times to be suspicious of momentum that I cannot measure. So at the end of the first stretch of building Gravity in the open, I want to write down what is actually true rather than what…
Read post →
Publishing roughly ten posts a day for a month is an unusual thing to do, and I went in expecting to learn about SEO. I came out having learned more about the difference between producing a lot and saying something,…
Read post →
I have watched a hype cycle from the inside three times, and the first half of 2026 had the unmistakable texture of one turning. Not a crash, a sorting. The capital was still there, the demos were still dazzling, and…
Read post →
Marketplaces are the hardest business model I know of, which is exactly why I chose one. The easy models are easy because they are crowded; the hard ones, when they work, are defensible because almost nobody gets the…
Read post →