Proprietary data and leading analysis on AI agents.
Model guide
Pick the right model for the job
A live snapshot of the leading AI models across text, image, video, text-to-speech, and speech-to-text. Price, quality, and best-for tags in one place, so you can estimate what your agent costs to run and pick the model that fits the work.
Security whitepaper
OpenClaw security and build process
How an OpenClaw outcome agent is built, isolated, and run on infrastructure you own and govern. Network controls, secrets handling, observability, and the questions every IT team asks first. Written for procurement and security reviewers.
Infrastructure guide
Local or cloud: where should your AI agent live?
The deciding factors between running your agent on a hosted server or a local Mac Mini. Reliability, cost, control, and the holiday test we apply to every setup. Our recommendation, with the reasoning behind it.
Architecture guide
The best of both worlds
A managed assistant in the cloud, with optional hands on your own Mac. The two-piece OpenClaw setup that combines hosted reliability with local capability, without your team becoming an IT department.
Messaging guide
WhatsApp or Telegram for your AI agent?
Choosing the right messaging channel for your OpenClaw agent. Setup time, verification, dedicated numbers, ongoing cost, and the trade-offs Meta does not advertise. A practical comparison.
AI agents, explained
What an AI agent actually does
The real difference between a chat tab that answers and an agent that does the work. What it connects to, the jobs it takes on, and how it gets sharper the longer it runs.
AI agents, explained
How technical do you need to be?
The "I'm not technical" worry, answered. You talk to it in plain English; setting it up safely and connecting your apps is our job, not yours.
Use cases
What could your agent do?
Worked examples with real numbers: ad spend reviewed and redirected, overdue quotes chased, enquiries answered in seconds, research done overnight. Mapped by type of business.
Getting started
Where to start: do this, not that
An honest starter guide. The do's (one job, low stakes, work that pays back, a short leash) and the don'ts (don't automate a mess, don't hand it ten jobs, don't aim at customers on day one).
Why a platform
Why a platform, not just ChatGPT
Asking versus doing, why do-it-yourself setups fall over at wiring and security, and the part that matters most: you own it, you're not locked to one model, and it keeps getting better underneath you.
Pricing and ROI
What an agent costs, and what it pays back
The honest cost conversation. Why runaway cost is a setup problem, not an AI problem; how an agent compares to hiring or doing it yourself; and why you own it instead of renting a seat.
Risk and guarantee
What if it doesn't work out?
The question behind every big decision, answered. We tell you the truth on the call, you never hand over more than you trust, and you're covered if it doesn't deliver.
Have a question that needs a paper of its own?
If your team has a question we have not answered yet, we will write one.
Most papers on this page started as a single email from a procurement team or a CTO. Tell us what you need answered in writing.
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