Technical AI research, explained clearly for researchers, builders, and anyone trying to understand what actually matters.
▶️ LISTEN TO THIS ARTICLE Your browser does not support the audio element. Only a small minority of AI agent pilots in some secondary analyses hit their ROI targets. That framing comes from Composio's 2025 analysis of AI project outcomes, which describes a large gap between pilots started, pilots
▶️ LISTEN TO THIS ARTICLE Your browser does not support the audio element. Build vs Buy AI Agents: The Decision That Determines Whether Your Deployment Survives Some market forecasts point to rapid growth in task-specific agents alongside a meaningful rate of project cancellation. That gap is why the build-vs-buy decision matters
▶️ LISTEN TO THIS ARTICLE Your browser does not support the audio element. The Training Data Problem: Why What Models Learn From Matters More Than How Much By Tyler Casey · AI-assisted research & drafting · Human editorial oversight @getboski One of the AI industry's defining bottlenecks is shifting from architecture
▶️ LISTEN TO THIS ARTICLE Your browser does not support the audio element. AI Coding Agents: What Actually Works in Production Earlier reporting suggested AI-assisted code generation was becoming a meaningful part of new code, and newer agentic-coding writeups suggest multi-file workflows are showing up in everyday development. Any share figure
▶️ LISTEN TO THIS ARTICLE Your browser does not support the audio element. The Goldfish Brain Problem: Why AI Agents Forget and How to Fix It By Tyler Casey · AI-assisted research & drafting · Human editorial oversight @getboski In April 2023, a Stanford research team deployed 25 generative agents into a simulated
▶️ LISTEN TO THIS ARTICLE Your browser does not support the audio element. From Prompt to Partner: A Practical Guide to Building Your First AI Agent By Tyler Casey · AI-assisted research & drafting · Human editorial oversight @getboski In October 2022, Shunyu Yao and his team at Princeton published a paper that
▶️ LISTEN TO THIS ARTICLE Your browser does not support the audio element. From Lab to Production: Why the Last Mile of AI Deployment Is Actually a Marathon By Tyler Casey · AI-assisted research & drafting · Human editorial oversight @getboski Model capability and deployment readiness are moving at different speeds. What'
▶️ LISTEN TO THIS ARTICLE Your browser does not support the audio element. From Answer to Insight: Why Reasoning Tokens Are a Quiet Revolution in AI By Tyler Casey · AI-assisted research & drafting · Human editorial oversight @getboski In September 2024, OpenAI's o1 model posted a much stronger competitive-programming result
▶️ LISTEN TO THIS ARTICLE Your browser does not support the audio element. Knowledge Graphs for AI Agents: Beyond Vector Search Vector databases power many retrieval-augmented generation systems because they're fast, simple, and good enough for single-hop lookups against unstructured text. But standard vector search does not explicitly model
▶️ LISTEN TO THIS ARTICLE Your browser does not support the audio element. Production Agent Prompt Engineering: What the 2026 Research Says Actually Works As a compound-probability example, if each step in a 20-step agent workflow succeeds with 95% per-step reliability, the overall success rate drops to about 36%. That math
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Swarm Signal keeps the research layer. For reusable trackers and production templates, use BoredTools.
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