Author
Max Laktsionau
Forward Deployed Engineer
Forward deployed engineer with 6+ years in software engineering and quality assurance, including 4+ years building and shipping AI-powered products. Works across AI engineering, QA, automation, and DevOps, and has built AI features for commercial real estate including document summarization, proposal generation, and broker copilots. Microsoft Certified Azure AI Engineer Associate and Anthropic Claude Certified Architect, focused on production-ready LLM systems, AI automation, and software delivery.
35 articles
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Multi-Agent Orchestration Is Not Maturity by Default
Adding another agent looks like a promotion for your architecture. Most of the time it is a demotion in reliability, and the two are easy to mix up. The pitch decks make more agents sound like more maturity.
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Your agent can do the task. Can you prove it did it correctly?
An agent that is right and an agent that is wrong produce output that looks exactly the same, right up until someone checks. The prose reads clean either way.
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Why Agentic AI Costs More to Run Than to Build
The build quote is the cheapest number in your agentic AI budget. It shows up in a proposal, gets negotiated, gets approved - a fixed, one-time price to design and ship the thing. Finance signs it and moves on. That signature is where the real spending quietly starts.
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AI Agent Development Solutions and How to Choose the Right One
The phrase "AI agent development solutions" hides a decision most vendors would rather you did not notice. Behind those four words sit three very different…
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Agentic AI Development Services That Ship to Production
An agent reads 400 supplier invoices, matches each to a purchase order, and queues the batch for payment. It gets 399 right. On the 400th it misreads a credit note as a new charge and schedules a $60,000 duplicate payment.
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A Chatbot Answers, an Agent Acts, and That Changes the Business
A customer messages your business at 9 p.m. to move tomorrow's appointment and clear the balance they still owe. A chatbot tells them how to do both: here is the reschedule link, here is the payment page. An agent just does it.
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Why AI Agents Scale Faster Than Their Guardrails
You can stand up an autonomous agent in an afternoon. The control framework that decides what it is allowed to touch takes a quarter to design, socialize, and enforce.
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The Agent Platform Race Is Not Your AI Strategy
In the last eighteen months, seven of the biggest names in enterprise software have all shipped an agent platform: Meta, Salesforce, Microsoft, Google,…
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The real difference between automation, a copilot, and an AI agent
Three words show up in almost every AI vendor deck: automation, copilot, and agent. Most leadership teams treat them as three brand names for one purchase.
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AI agents need runbooks, not just prompts
The prompt works in the demo. But a prompt is not an operating procedure. An agent runbook - inputs, permissions, escalation, logging, success criteria, human review mode - is the missing layer between a pilot and an agent you would sign off on for production.
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The First 10 Workflows to Inspect Before You Automate With AI
A finance team can spend six months evaluating automation platforms and still not know which of its own processes to point one at. The demos all look…
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What to Measure Before You Automate a Workflow
Somewhere between a third and half of automation projects fail, and the tool is almost never the reason. The doom rarely arrives at launch. It sets in during…
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The AI Engineering Stack We Run, and the Logic That Outlives It
The bookmark folder labeled "best AI coding tools" is a graveyard of expired advice. Every entry was accurate the week someone saved it and wrong within a…
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The Real Cost of Technical Debt (and Why AI Makes It Accrue Faster)
Every dashboard says the team got faster this quarter. The building says the opposite. Releases slip, fixes drag, and the "quick" feature that shipped in three…
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When the agent owns the workflow, not the keystroke
"AI is getting better at writing code" is the sentence that hides the real change. Better autocomplete is a faster keyboard. What is arriving in engineering…
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Shift Left Testing Catches AI-Generated Bugs Before They Ship
The price of writing a line of code has collapsed. The price of a defect in that line has not moved an inch. Every engineering org now lives somewhere along…
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How We Cut Test-Case Writing From Four Hours to 45 Minutes
A single user story landed in our backlog last quarter with eleven acceptance criteria, three of them about what should happen when a payment partially fails.
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The best AI teams shut weak workflows off
A finance team can usually tell you, to the dollar, what every software license costs. Ask which live AI workflows actually earned their keep, and the room goes quiet.
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Agentic AI Security: What We Lock Down Before Production
A chatbot that says something wrong is an embarrassment. An agent that does something wrong is an incident. That one shift - from generating text to taking actions - is why agentic AI security is its own discipline.
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AI Agent Development: A Complete 2026 Guide for Builders
A working agent demo takes an afternoon. A working agent in production takes a quarter. That gap is the whole story of AI agent development in 2026, and it…
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Spec-Driven Development: AI Code That Matches Your Architecture
AI agents can write a feature in twenty minutes, but ungoverned output drifts. Spec-driven development bounds an agent with architecture rules, a written specification, and acceptance criteria so generated code fits your system instead of fighting it.
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AI Agent Development Services: What You Actually Get
Most AI agent projects do not fail in the demo. They fail in the six weeks after it, when the proof-of-concept meets real data, real permissions, and a real person who has to trust its output on a Tuesday afternoon.
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Why Vibe-Coded Apps Die in Production (And What We Do Instead)
The prototype took a weekend. The demo landed, the room nodded, and the thing you built with a few well-aimed prompts looked like a product. Then real users...
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AI-Driven Workflow Automation: How Adaptive Workflows Work
A loan application lands in an inbox at 4:58 p.m. on a Friday. The old way: it waits in the queue until Monday, then a coordinator copies fields into three…
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Production-Ready AI Code: A Definition of Done
A demo runs clean. The feature works, the pull request is green, and the engineer who prompted it merged in an afternoon what used to take three days. Six…
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AI Agent Governance: When to Let Agents Act, Ask, or Be Reviewed
AI agent governance is a decision-rights problem, not a model-choice problem. Place every agent action into one of three modes - Autonomous, Approve-before, or Review-after - using a five-question decision tree your Risk and Legal teams can defend.
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AI Transformation of Legacy Projects: How Modernization Works Now
The math behind legacy modernization has been stable for a decade. Roughly two-thirds of the applications running large enterprises are still considered…
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AI Agent Governance: Where the Decision Right Lives
Choosing a model takes an afternoon. Answering "who is accountable when the agent does something wrong?" can stall a deployment for a quarter. That second…
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The AI Workflow Redesign Playbook: Manual to Measured
Most automation projects die the same quiet way. A bot gets built, a tool gets bought, a process runs a little faster, and then nobody can answer the one…
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Why Developers Resist AI in Software Development
A senior engineer toggles Copilot on for the standup dashboard, then turns it off and writes the function by hand. Most developer resistance to AI is rational, and the rollout, not the tool, creates it.
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AI for Teams: How to Integrate AI Tools Without the Bottlenecks
Your team is curious about AI. You might already be paying for three overlapping tools, a note-taker, a writing assistant, maybe a workflow automator, and yet…
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AI Integration for Legacy Projects: A Practical Guide
AI integration for legacy projects without a rebuild: the real barriers, the integration patterns that fit your constraints, and a phased rollout plan.
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AI Workflow Automation: What It Is and How It Works
You run operations or IT, and your day is full of manual handoffs. A request lands in one system. Someone copies it into another. A rule-based automation…
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Gemini Omni: A Strategic Look at Google I/O 2026 | AdvantageWorks
For two years, most enterprise AI projects have produced one thing: more chat windows. Teams added GPT-4 to their inbox, Claude to their Notion, Gemini to…
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How to Measure AI ROI in Customer Support: A Practical Guide for Mid-Market Leaders
To measure AI ROI in customer support, baseline your cost-per-ticket, first-response time, deflection rate, and CSAT before deployment, then track the