AACFlow Blog
Latest news, guides, and best practices for AI workflow automation
Jun 5, 2026
The AACFlow Roadmap: What We're Building in 2026 and Where AI Agents Are Heading
Alexandr Chibilyaev shares the public AACFlow roadmap for 2026-2027 — Block SDK, agent marketplace, streaming outputs, conditional branching, AI trace analysis, distributed tracing, air-gapped deployment, and the philosophy that guides every feature decision.
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Jun 4, 2026
Build vs Buy: The Real Cost of Building Your Own AI Agent Infrastructure (and Why 60,000 Developers Chose AACFlow)
Alexandr Chibilyaev with an honest cost analysis of building AI agent infrastructure from scratch versus buying AACFlow — engineering costs, ongoing maintenance, hidden expenses, and a framework for making the right decision for your team.
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Jun 3, 2026
Llama 4 Scout 17B for Open-Source AI Agents in AACFlow
Meta's Llama 4 Scout 17B brings a 10-million-token context window to open-source AI — the largest available. Here's how to use it in AACFlow via Groq, Fireworks.ai, or self-hosted vLLM and Ollama.
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Jun 3, 2026
How We Test 170+ Connectors and 213+ Blocks Without Losing Our Minds
Alexandr Chibilyaev on the testing infrastructure of AACFlow — unit tests for blocks and connectors, integration tests with mocked API responses, Playwright E2E tests, automated health checks, and the philosophy that keeps 60,000+ developers running reliably.
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Jun 2, 2026
Three Languages, One Codebase: How We Built AACFlow's Internationalization to Ship in Russian, English and German Simultaneously
Alexandr Chibilyaev on the internationalization architecture of AACFlow — next-intl with namespace-based JSON files, structural parity enforcement, Python translation scripts, and lessons learned from localizing 1,000+ keys across Russian, English, and German.
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Jun 1, 2026
Model Context Protocol in AACFlow: Connect Any Tool to Any AI Model
How AACFlow implements MCP — Anthropic's open standard for AI tool connectivity. Add custom MCP servers, expose workflows as tools, and give your agents access to any database, API, or internal system.
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Jun 1, 2026
Why We Bet on Bun: The Runtime Decision That Powers 10 Million Monthly Agent Executions
Alexandr Chibilyaev explains why AACFlow chose Bun over Node.js — native TypeScript, faster builds, lower memory, and the engineering philosophy behind the runtime that handles 10M+ agent executions every month.
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May 31, 2026
AI Agents for Marketing: Autonomous Campaign Management with Yandex.Direct, MyTarget and VK Ads
Alexandr Chibilyaev on AI agents that monitor campaign performance, generate ad creatives, analyze audiences, and track ROI — powered by integrations with Yandex.Direct, MyTarget, VK Ads, and the full marketing analytics stack.
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May 30, 2026
AI Agents for Restaurants & Retail: iiko, Poster, R-Keeper and the Kitchen of the Future
Alexandr Chibilyaev on AI agents that manage inventory, optimize menus, schedule staff, and analyze customer feedback — powered by POS integrations with iiko, Poster, R-Keeper, Evotor, and the full restaurant tech stack.
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May 29, 2026
GPT-4.1 vs GPT-4o: Which Model to Use in Production AACFlow Workflows
A practical comparison of GPT-4.1 and GPT-4o for production AI workflows — pricing, latency, context window, and task-specific recommendations to help you choose the right model in AACFlow.
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May 29, 2026
AI Agents for HR: Automating Recruitment with HH.ru, Huntflow, SuperJob and the Autonomous Talent Pipeline
Alexandr Chibilyaev on AI agents that screen resumes, schedule interviews, follow up with candidates, and manage onboarding — powered by integrations with HH.ru, Huntflow, SuperJob, and a full HR connector stack.
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May 28, 2026
DeepSeek Prover V4: Mathematical Reasoning in AACFlow Workflows
How to use DeepSeek Prover V4 — the most affordable reasoning model at $0.28/M input tokens — for financial modeling, data validation, and formal logic in AACFlow workflows. Includes comparison with o4-mini.
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May 28, 2026
AI Agents for Logistics: How CDEK, Russian Post, Delovye Linii and the Autonomous Supply Chain Work
Alexandr Chibilyaev on AI agents that track shipments, optimize delivery routes, sync warehouse inventory, and process returns — powered by deep logistics integrations with CDEK, Russian Post, Boxberry, and 6+ carriers.
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May 27, 2026
AI Agents for Banking: How Sber, T-Bank, Alfa-Bank and 15+ Financial APIs Power Autonomous Finance Operations
Alexandr Chibilyaev on how AACFlow agents work with Russian banking infrastructure: payment reconciliation, invoice processing, cash flow monitoring, tax calculation — with enterprise-grade security for financial data.
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May 26, 2026
Claude Opus 4.7 Production Guide for AACFlow Developers
A practical guide to deploying Claude Opus 4.7 in production AACFlow workflows: Extended Thinking mode, computer use, when to choose Opus 4.7 vs Sonnet 4.6, cost optimization strategies, and real pricing.
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May 26, 2026
One Database to Rule Them All: Why PostgreSQL + pgvector Is the Only Backend AI Agents Need
Alexandr Chibilyaev explains why AACFlow runs on a single PostgreSQL database with pgvector — no separate vector DB, no Pinecone, no Weaviate. Relational data and embeddings in one system with transactional consistency.
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May 25, 2026
The Agent Economy: A Marketplace Where Developers Build AI Agents and Businesses Buy Them
Alexandr Chibilyaev unveils the AACFlow Agent Marketplace: a developer economy where AI agents are built, sold, and deployed with one click. 70% revenue to developers, pre-built categories, and quality standards.
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May 24, 2026
Gemini 2.5 Pro in AACFlow: 1M Token Context for Deep Research Workflows
How to use Google Gemini 2.5 Pro deep research capabilities — 1M token context, multimodal analysis, and native code understanding — inside AACFlow AI Agent blocks for document-intensive workflows.
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May 24, 2026
Build Agents in Code: Introducing the AACFlow TypeScript SDK
Alexandr Chibilyaev introduces the AACFlow TypeScript SDK: define workflows programmatically, trigger executions, handle results with full type safety via Zod schemas, and integrate AI agents into any Node.js application.
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May 23, 2026
Triggers & Webhooks: How AI Agents Wake Up, Listen, and Respond to the World
Alexandr Chibilyaev explains the AACFlow trigger system: webhook triggers, polling triggers, cron schedules, and the architecture that lets AI agents respond to real-world events in milliseconds.
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