AI agents · automation · solutions built for you
We design, build, and run AI automations and agent solutions inside your own accounts: lead follow-up, client ops, reporting, content. Fixed quote before we build, and every system is tested on our own business first.
Before / After
Running it by hand
Running on AI agents
We run every system on our own business first: the agents, the costs, the failures. Only then do we build it for yours.
This site is the working demo
AI agent solutions
Agents wired into your CRM, inbox, and calendar that handle the repetitive decisions: triage, lookups, replies, follow-ups. A human steps in where it matters.
The glue between your apps. Your CRM, sheets, inbox, and AI connected so handoffs happen without anyone copy-pasting between tabs.
The content and marketing engine this very site runs on: AI drafts, human review, scheduled publishing, live tracking. We rebuild it for your business.
How we work
Step 1 · Free
We look at how the work flows today and find the one thing worth automating first.
Step 2 · Fixed quote
We build it on your real data and show you the cost per run before it goes live.
Step 3 · Yours
It runs in your own accounts, documented in plain English, so you own it. We stay for support if you want.
114+
build logs published in the open
100%
of systems run in accounts you own
1
fixed quote, agreed before we build
Why Cart Gaze
Every system we sell runs on our own business before it runs on yours. This site is the demo.
You get a fixed quote upfront and see the cost per run before anything goes live.
Everything runs in your accounts on open, standard tools, fully documented. No lock-in.
Agents handle the repetition; approval steps keep a person on anything customer-facing or sensitive.
We track model releases and price changes daily (see the radar above), so your build uses what's best now.
You get documentation your team can actually read, plus support after launch if you want it.
Cart Gaze LLC · the studio behind this site
The guides, the daily briefing, and the live radar above are produced by AI agents and automations we built and run for a few dollars a month. Cart Gaze builds the same kind of system for small teams and solo operators.
Who you'll work with
AI agent & automation expert · PMP-certified PM
Qasim builds product for the love of it. When an idea lands, he skips the deck: a working prototype is usually running within hours, built with the same AI agents and automations he sells. He puts his own output at roughly 20× what it was before agents. One person shipping like a small team.
A PMP-certified project manager and the founder of Cart Gaze LLC, he spent years shipping enterprise telecom systems before pointing that delivery discipline at the repetitive work drowning small teams. The long game is an Agentic OS: agents, automations, and shared memory that quietly run a business. This site is the working prototype. Its drafting pipeline, daily tool radar, and publishing engine are the exact systems he installs for clients.
Tested solutions
The blog is our lab notebook: the agents and automations we ran on our own business, with the real costs and what broke along the way. If we recommend it, you can read the test.
Your agent keeps calling the wrong tool or passing bad arguments, and you blame the model. The real lever is the tool description and its JSON schema: the model picks and fills every tool from that alone. Here is how to write ai agent tool descriptions like onboarding docs for a
Three model releases landed in two weeks in June 2026: Fable 5, open-weight GLM-5.2, and limited-preview GPT-5.6. Skip the leaderboard drama. Here is the builder's take on which model belongs on which workflow step, with every price and benchmark dated and attributed.
Three frontier models landed in June 2026: Claude Fable 5, Z.ai's open-weight GLM-5.2, and OpenAI's limited-preview GPT-5.6. The numbers do not all measure the same thing, so here is an honest, dated comparison on coding score, price, and openness.
OpenAI previewed GPT-5.6 on June 26, 2026 in three tiers, Luna, Terra, and Sol, with public per-token prices. The twist is access: launch was limited to roughly 20 partners at the behest of the U.S. government, with general availability promised in the coming weeks. Here is the
Z.ai's GLM-5.2 ships open weights under MIT and reportedly leads the open-weight field on SWE-bench Pro while trading blows with Opus 4.8 on FrontierSWE and MCP-Atlas, at roughly one-sixth of GPT-5.5's blended cost. The catch is a hosted-API data-residency caveat.
Anthropic's Claude Fable 5 shipped on June 9, 2026 topping the coding benchmarks it publishes and priced near twice Opus 4.8. Here is an honest read on the reported numbers, the real trade-off, and who should pay the premium.
How we work
We test before we publish and before we sell. AI assists the drafts; a named human tests, edits, and fact-checks every piece. We disclose the tools, versions, sample size, and dates behind each claim.
