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Create a Reusable Brief: From Query to Outline in Minutes

Create a Reusable Brief: From Query to Outline in Minutes

  • Post author:Filip Lapiński
  • Post published:November 5, 2025
  • Post category:Uncategorized

How to Create Effective Reusable Briefs for Fast Content Outlines Create reusable briefs that speed outline creation, ensure quality, and match audience ne

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Annotation on a Budget: Lightweight Labeling Tips

Annotation on a Budget: Lightweight Labeling Tips

  • Post author:Filip Lapiński
  • Post published:November 3, 2025
  • Post category:Data & Synthetic Data

Cost-Effective Data Labeling for ML Projects Practical steps to set labeling scope, choose affordable tools, and ensure quality—so teams deliver trustworth

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AI for HR: Performance Reviews That Don’t Drain You

AI for HR: Performance Reviews That Don’t Drain You

  • Post author:Filip Lapiński
  • Post published:November 2, 2025
  • Post category:Vertical Use‑Cases

How to Build an AI-Powered Customer Review Scoring System Create fair, transparent review scoring that improves insights and agent performance — practical

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Meeting Notes That Don’t Suck: A Realistic Pipeline

Meeting Notes That Don’t Suck: A Realistic Pipeline

  • Post author:Filip Lapiński
  • Post published:November 1, 2025
  • Post category:Multimodal (Vision/Audio)

Meeting Notes Template: Capture Decisions, Actions, and Context A practical meeting notes template to record decisions, actions, and context so teams move

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Memory for Agents: What to Store and What to Forget

Memory for Agents: What to Store and What to Forget

  • Post author:Filip Lapiński
  • Post published:October 31, 2025
  • Post category:Agents & Automation

Designing Effective Long-Term Memory for AI Agents Set clear memory goals, store the right data, and enforce retention to boost agent performance and priva

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A/B Testing Prompts: Design, Run, and Read Results

A/B Testing Prompts: Design, Run, and Read Results

  • Post author:Filip Lapiński
  • Post published:October 30, 2025
  • Post category:Evaluation & Guardrails

How to A/B Test LLM Prompts for Reliable, Actionable Results Learn a practical, step-by-step approach to A/B testing LLM prompts so you can improve outputs

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Batching and Caching for Faster Local Inference

Batching and Caching for Faster Local Inference

  • Post author:Filip Lapiński
  • Post published:October 29, 2025
  • Post category:Local & Edge AI

Practical Strategies to Improve High-Throughput API Performance Boost API throughput while reducing latency and cost: clear goals, batching, caching, and m

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How to Build a Lightweight RAG with No Code

How to Build a Lightweight RAG with No Code

  • Post author:Filip Lapiński
  • Post published:October 28, 2025
  • Post category:RAG & Knowledge Retrieval

How to Build a Lightweight RAG System Using No-Code Tools Fast-start a cost-effective Retrieval-Augmented Generation flow using no-code tools and affordabl

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Style Transfer Prompts: Turn Notes into Polished Prose

Style Transfer Prompts: Turn Notes into Polished Prose

  • Post author:Filip Lapiński
  • Post published:October 27, 2025
  • Post category:Prompting & Workflows

How to Write Effective Prompts for Reliable AI Outputs Learn to craft prompts that produce accurate, consistent AI responses—improve quality, reduce rework

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Latency, Throughput, Cost: The Trade‑Offs That Actually Matter

Latency, Throughput, Cost: The Trade‑Offs That Actually Matter

  • Post author:Filip Lapiński
  • Post published:October 26, 2025
  • Post category:AI Fundamentals

Optimizing Latency, Throughput, and Cost for Scalable Systems Learn to balance latency, throughput, and cost with practical metrics, architectures, and opt

Continue ReadingLatency, Throughput, Cost: The Trade‑Offs That Actually Matter
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