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The Model Doesn't Matter. The Harness Does.

Six frontier coding models now score within 0.8 points of each other on SWE-bench Verified. The same model wrapped in different agent frameworks swings almost ten points on SWE-bench Pro. Picking an agent platform based on which model it runs misses where the real performance differences come from. The

Michael Tuszynski

Apr 19, 2026 3 min read

AI Agents Are Killing Seat-Based SaaS Pricing. Here's What's Replacing It.

38% of AI Answers Are Wrong — And It's Your Prompt's Fault

Building a Plugin Marketplace for AI-Native Workflows

Context Engineering Is the New Prompt Engineering

aws

AWS Frontier Agents: What $50/Hour Pen Testing and $30/Hour SRE Means for Platform Teams

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The Model Doesn't Matter. The Harness Does.

Michael Tuszynski

Apr 19, 2026 3 min read

AI Agents Are Killing Seat-Based SaaS Pricing. Here's What's Replacing It.

Intercom's Fin AI agent went from $1M to $100M+ ARR on one pricing move: $0.99 per resolved ticket. Not per seat, not per month. Per outcome. Fin now handles 80%+ of Intercom's customer support volume and closes about a million conversations a week, and Intercom

Michael Tuszynski

Apr 17, 2026 4 min read

38% of AI Answers Are Wrong — And It's Your Prompt's Fault

Every week someone posts about AI hallucination like it's a mystery. It's not. A 2025 Frontiers in AI study measured it: vague, multi-objective prompts hallucinate 38.3% of the time. Structured, single-focus prompts? 18.1%. That's a 20-point accuracy gap from how you write

Michael Tuszynski

Apr 14, 2026 2 min read

Building a Plugin Marketplace for AI-Native Workflows

Most AI coding tools ship as monoliths. One big system prompt, one set of capabilities, one-size-fits-all. That works fine for general software engineering. It falls apart the moment you need domain-specific workflows that vary by role, by team, and by engagement. I build presales systems at Presidio — client research, SOW

Michael Tuszynski

Apr 10, 2026 5 min read

Context Engineering Is the New Prompt Engineering

Everyone's writing better prompts. Few are building better context. That's the gap. Prompt engineering treats AI like a search box — craft the perfect query, get the perfect answer. Context engineering treats AI like a new team member — give them the right docs, the right access, and

Michael Tuszynski

Apr 08, 2026 4 min read

aws

AWS Frontier Agents: What $50/Hour Pen Testing and $30/Hour SRE Means for Platform Teams

AWS just launched two autonomous AI agents — Security Agent and DevOps Agent — and they're both generally available now. These aren't chatbots with polished wrappers. They're persistent, autonomous systems that run for hours or days without human oversight, doing work that previously required dedicated teams.

Michael Tuszynski

Apr 05, 2026 3 min read

The systems behind enterprise AI adoption success - IBM

Everyone's Buying GPUs. Almost Nobody's Ready to Feed Them. The enterprise AI conversation has a blind spot the size of a data center. Every budget meeting I've sat in over the past 18 months has the same shape: GPU allocation gets 70% of the

Michael Tuszynski

Mar 28, 2026 4 min read

Why Enterprise AI Infrastructure is Going Hybrid – and Geographic

The Cloud Repatriation Nobody Expected: Why Enterprise AI Is Pulling Compute Back from the Cloud The original pitch for cloud computing was simple: stop buying servers, rent someone else's. For most workloads over the past fifteen years, that trade worked. But AI infrastructure has rewritten the economics, and

Michael Tuszynski

Mar 25, 2026 4 min read

Enterprise AI has an 80% failure rate. The models aren't the problem. What is?

Most enterprise AI projects die quietly. No dramatic failure, no post-mortem email chain. They just... stop. The prototype gets a demo, leadership nods approvingly, and then six months later the Slack channel goes silent and the budget gets reallocated. Roughly 80% of enterprise AI projects fail — double the failure rate

Michael Tuszynski

Mar 21, 2026 4 min read

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