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 for beehiiv Newsletter Curation
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…
Gravity vs Taskade: AI Workspace vs Agent Platform
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…
Gravity vs Superagent: Agent Safety SDK vs Platform (2026)
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…
Gravity vs Spell.so: DIY Agents vs Expert Platform
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…
Gravity vs HyperWrite: Writing Assistant vs Platform
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…
Gravity vs Fixie.ai: Task Agents vs Voice AI (2026)
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…
Gravity vs AutoGen: Multi-Agent Framework vs Platform
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…
Gravity vs Adept AI: Action Models vs Platform (2026)
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…
Best AI Agent Platforms for Startups (2026 Guide)
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. We build Gravity as a startup…
Best AI Agent Platforms for Solopreneurs (2026)
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…
The Builder Economy Inside Gravity: How Experts Earn
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…
The State of AI Agents, Mid-2026
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…
What OpenAI Codex Means for Agent Builders
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…
Dust.tt vs Gravity: Verdict, Pricing, Alternatives (2026)
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,…
Gravity's Agent Quality Bar, Explained for Builders
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…
Google's Q2 2026 Core Update: What It Means for AI Content
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…
Where AI Agents Sit on Gartner's Hype Cycle in 2026
Reviewed against Gartner's latest published research as of July 15, 2026.
Enterprise AI Agent Adoption Trends in 2026
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…
Claude 4 as an Agent Backbone: Capabilities That Matter
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…
AI Agents and the EU AI Act: A 2026 Compliance Guide
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…
What an Early Waitlist Actually Tells You (and What It Doesn't)
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…
Month Two of Building Gravity in Public: An Honest Update
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…
What 300 Blog Posts in a Month Taught Me About Content
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,…
The AI Agent Market in H1 2026: A Founder's Retrospective
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…
Building a Three-Sided Marketplace: Why Gravity Has Three Sides
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…
Getting Stakeholder Buy-In for AI Agents (Without Hype)
I have pitched ideas that were technically better than the thing that got approved, and lost. The lesson stuck: the quality of an agent project rarely decides whether it gets funded. The quality of the buy-in does. A…
How to Plan an AI Agent Migration (From Zapier or Make)
Most teams do not migrate to AI agents because a vendor sold them on it. They migrate because a Zap broke on an edge case for the third time, or because a Make scenario grew into a 22-step chain that nobody dares…
AI Agent Implementation Timeline: Realistic Deployment Plans
"How long will this take?" is the first question every buyer asks and the one most vendors answer badly. The honest answer is that it depends on which of four very different things you are actually building. A…
How to Build an Executive Business Case for AI Agents
An executive does not read a business case to learn. They read it to decide whether to bet a slice of budget and reputation on you being right. Everything in the document either reduces their uncertainty or wastes…
How to Evaluate AI Agent Platforms: A Buyer's Framework for 2026
Choosing an AI agent platform looks easy until you have to defend the decision to a CFO, a security review, and a procurement officer simultaneously. The marketing pages are interchangeable. The pricing is opaque…