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From Chat to Agents: How to Use AI & Agentic Workflows

A recorded session with Mārcis on giving AI the context, constraints, tools and review process it needs to produce reliable, high-quality development work.

Recorded webinar Duration: 33:13 5 chapters Free to watch
Watch the recording
Recorded 33:13
Full session, 33 minutes
Chapters

5 chapters · 33:13

  1. 1 Introduction 0:00
  2. 2 What not to do when using AI agents 0:41
  3. 3 How to properly leverage AI tools 8:31
  4. 4 Key takeaways 29:51
  5. 5 Q&A 30:35
About this session
Most teams still use AI as a chat window. In this recorded session Mārcis shows what it takes to go further: giving AI the context, constraints, tools and review process it needs to produce reliable, high-quality development work, and running it as a set of agents that plan, implement, test and review. Mārcis specialises in AI-assisted software architecture, agentic development pipelines and automated multi-agent orchestration, helping development teams and digital businesses integrate AI tools securely, cut out QA back-and-forth and scale their operations.

What you will learn

  • How to set up context-first AI development workflows
  • How to avoid session hygiene pitfalls and context dilution
  • How to follow the six-step agent workflow: plan, review, justify, implement, document, end-to-end test
  • How to configure MCP connectors and keep skills lean (about five per project)
  • How to deploy multi-agent orchestration and PR-review agents
  • How to run headless CLI automation with safety guardrails
  • Security best practices: SSH keys, test servers and CI/CD gates

What the session covers

  1. Context-first AI and project knowledge
  2. The agentic workflow: from plan to evidence
  3. MCP connectors and live validation
  4. Skills and context hygiene
  5. Multi-agent orchestration and PR review
  6. Headless automation, guardrails and next steps
Level: Intermediate. Length: 33 minutes. Cost: free.

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