Your AI agents work in the demo. Production is where they break.
Failures in production almost never start in the model. They start in the missing management layer: unclear tasks, no safety gates, no monitoring, no owner when something goes wrong. We build agents, automation and websites, then put that layer on top. Start by describing a business problem. No call required.
Let’s discuss what we can do for you regarding your website, SEO promotion efforts, or communication with potential clients.
These figures are for the studio as a whole, including work shipped before the Agent Reliability Lab name. See cases.
Services
AI agents and automation
Assistants for inquiries, documents and scheduling, plus research agents that watch prices, risk and signals. Human-approval gates. Pilot in 1–2 weeks.
Learn more →FlagshipAI agent audit
Audit and stabilise agents already in production: Harness Health Check, risk map, management layer, then a sprint or a fractional advisory if you want us to stay.
Learn more →ConsultantsAI consultant and chatbots
A catalog-grounded site consultant with product checks and human escalation, plus Telegram and WhatsApp bots for lead capture and handoff.
Learn more →WebsitesWebsites
Corporate sites and B2B catalogues with request forms, CRM and ERP integration. Four weeks from agreed layout when content and integrations are ready.
Learn more →AppsWeb apps
PWA and Telegram Mini Apps: storefront or booking in the messenger, a home-screen icon, supported payments and push. One codebase, two channels.
Learn more →SEOSEO and growth
Google SEO, paid search and usability reviews for defined markets. Written findings, agreed repairs and monthly reporting with evidence and limits.
Learn more →Materials
Courses
Harness Engineering: diagnose the environment around an agent
Inspect instructions, tools, state and feedback to distinguish environment failures from model capability limits.
Open the course →Management Methods for AI Agents: OODA, GTD, PDCA, TOC, First Principles, OKR
Apply OODA, GTD, PDCA, TOC, first principles and OKRs to agent workflows. Inspect goals, state, decisions, model limits and review gates.
Open the course →Grounded AI Consultant: how to stop a store assistant from inventing products
A catalog bot that invents a SKU or a price is not a cute model glitch. Grounding is a constraint: retrieval, a runtime guard, and a human handoff.
Open the course →How we work
- 01
Written brief
what the system does, where it fails, what you need back.
- 02
Scoped proposal
what we will inspect or build, and what we will not.
- 03
Pilot in 1–2 weeks
a working slice, not a slide deck.
- 04
Handover with a runbook
who watches it, who stops it, what happens next.