Agent Reliability LabRequest a scope

Estonia · asynchronous studio

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. Work starts from a written brief, asynchronously. No call required.

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2006

Operating since

150+

Delivered projects

10+

Agents in daily production

These figures are for the studio as a whole, including work shipped before the Agent Reliability Lab name. See cases.

Services

All 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 →Flagship

AI 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 →Consultants

AI 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 →Websites

Websites

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 →Apps

Web 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 →SEO

SEO and growth

Google SEO, paid search and usability reviews for defined markets. Written findings, agreed repairs and monthly reporting with evidence and limits.

Materials

All materials →

Automationn8n Error Workflow Not Triggering? A Failure-Handling ChecklistCheck n8n Error Trigger behaviour, linked error workflows and saved execution evidence. Use a failure checklist before retrying a workflow.Read →VerificationRAG Acceptance Checklist: A Test Sheet for Document AnswersCheck a document assistant with separate retrieval, answer and refusal tests. Copy an acceptance sheet with evidence and a worked example.Read →VerificationScheduled AI Task Ran but No Result? What to Check FirstFind the run, locate its output and check delivery before retrying a scheduled AI task. A practical checklist and one recorded delivery timeout.Read →

Free · open · no sign-up

Courses

All courses →

8 modules · free · open

Harness Engineering: diagnose the environment around an agent

Inspect instructions, tools, state and feedback to distinguish environment failures from model capability limits.

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8 modules · free · open

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.

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9 modules · free · open

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.

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Reliability

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.