Building autonomous AI agents. Notes from the team building Gravity. AI workflows, the future of recurring work, and what we learn along the way.
Coda is the only working surface for some teams. Specs, OKRs, sprint plans, retros, customer notes, all of it lives in Coda docs. Over a week the team writes a lot, decides some things, and updates a few status…
Read post →
The honest pitch for AI agents to a YouTuber is not "scale your channel." It is "stop spending three days on the parts of upload that do not show up on camera." Most mid-sized YouTubers I talk to, the 10k to 1M…
Read post →
I have spent the last few months talking to broker-owners running everything from a 25-agent single-office shop in Austin to a 180-agent regional firm in the Midwest. The pattern is the same. They are not trying to…
Read post →
Residential property management is a job composed almost entirely of five-to-fifteen-minute interruptions. A tenant's garbage disposal jams at 7pm. An owner emails asking why last month's repair cost $340. A lease…
Read post →
The honest pitch for AI agents to a podcaster is not "grow your show." It is "stop spending five hours editing the parts of an episode no one cares about." Almost every solo or small-team podcaster I have worked with…
Read post →
The honest pitch for AI agents to a nutritionist or dietitian is not "scale your practice." It is "stop spending half your week on food logs, intake forms, and insurance paperwork that the client never sees." Most…
Read post →
The honest pitch for AI agents inside a medical practice is not "AI doctor." It is "stop spending the front-desk's Tuesday afternoon on hold with United, calling about a prior auth that has been sitting in their…
Read post →
The honest pitch for AI agents to a fitness coach is not "10x your client roster." It is "stop dropping the Sunday-night check-in pile." Most online and hybrid coaches I talk to do not have a programming problem.…
Read post →
The honest pitch for AI agents to a financial advisor is not "robo-advisor 2.0." It is "stop spending Sunday night writing the briefing notes for Monday's six client meetings." Most solo and small-team RIAs I talk to…
Read post →
The honest pitch for AI agents to a course creator is not "scale your course." It is "stop being the bottleneck on tier-1 student support during launch week." Most creators I talk to are not stuck on curriculum. They…
Read post →
I have spent the last two years watching bookkeepers do the same five tasks in a loop: categorise transactions, reconcile bank feeds, chase invoices, schedule bill payments, and prep the month-end close. Every one of…
Read post →
Production AI agents need updates. Models improve. Prompts get tighter. Tools get added. The team finds a way to make the stopping rule clearer. The question is not "should we update" but "how do we update without…
Read post →
The single hardest non-model problem in agent engineering is state. The model is stateless. Every other part of the system that gives it the illusion of continuity, of memory, of resumption, is your code. Get it…
Read post →
Code without version control is a hobby. Prompts without version control are a liability. The reason most agent prompts produce silent regressions in week six is not that the prompt got worse; it is that nobody can…
Read post →
Prompt engineering for AI agents is not the same craft as prompt engineering for chatbots. A chatbot prompt shapes one response. An agent prompt shapes a loop: the model picks a tool, reads the result, decides…
Read post →
The intuition that "more agents will do better than one agent" is wrong more often than it is right. Most production multi-agent systems exist because the work has genuine boundaries (different access controls,…
Read post →
Most AI agent failures in production are not model failures. They are integration failures. A webhook arrives twice and the agent acts twice. An OAuth refresh fails silently and the agent runs unauthenticated. A…
Read post →
Data residency is one of the silent gating items for enterprise sales of AI agents. The product can be perfect, but if the prompts leave the EU, the deal dies. This guide is the architecture playbook for…
Read post →
An AI agent's audit trail is the difference between "the agent took an action" and "we know why the agent took that action." It is what enables incident response, compliance audits, and the kind of post-hoc analysis…
Read post →
The honest pitch for AI agents to a SaaS founder is not "scale your team." It is "stop dropping the recurring five-to-fifteen-minute tasks that compound into churn." Most SaaS founders I talk to do not have a…
Read post →
Recruiting is the AI agent use case where the operator advice and the regulatory advice point in slightly different directions. The operator wants the agent to shortlist, screen, and schedule. The regulator wants…
Read post →
Real estate is one of the few industries where a single AI agent can be the difference between converting a lead and losing it to a faster competitor. Inbound buyer leads are perishable in a way that almost no other…
Read post →
For most small-to-mid marketing agencies, AI agents are the difference between a 12% net margin and a 28% net margin on the same retainer book. Not because the agency hires fewer people, but because the agents soak…
Read post →
Lawyers face the steepest constraints of any profession deploying AI agents in 2026 and the largest potential upside. The constraints are real: client confidentiality under Model Rule 1.6, competence under Rule 1.1,…
Read post →
The honest job description for a freelance designer is "two roles in one person." Half the week is design work; half the week is studio operations. Intake calls. Scope clarification. Proposal drafts. Asset packaging.…
Read post →
Open with margin, not vibes. A DTC store doing $1M ARR at a 65% gross margin and 7% net has roughly $70k in net profit and zero room to add headcount. An AI agent that recovers 2% of abandoned carts on a baseline…
Read post →
Content creators in 2026 face a paradox. The tools to make and distribute content have never been more powerful, and the audience tolerance for AI-generated work passing as human has never been lower. The creators…
Read post →
Consulting is a profession built on judgment, but a typical engagement is filled with the supporting work that produces the conditions for judgment: research, synthesis, slide drafting, meeting prep, status…
Read post →
Accountants and bookkeepers face two pressures pointing in the same direction. Clients increasingly expect monthly close in five business days instead of fifteen. Margins on transactional bookkeeping are compressing…
Read post →
Most security guides written for large language models stop at the prompt boundary. They assume a single completion, no tools, no state, no autonomy. That model has not described production deployments for at least…
Read post →