Per-Token vs Per-Seat Pricing: How AI Vendors Will Restructure in 2026
AI vendor pricing models are stretching. The 2026 shift from per-token to per-seat to per-outcome pricing, and what each one optimizes for.
8 min read
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AI Voice Agent Insights & Guides
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CFO's Guide to Agent Unit Economics: Per-Task Cost, ROI, and Payback in 2026
Per-task cost, payback period, and ROI math for AI agents from a CFO's perspective. The numbers that survive board scrutiny in 2026.
8 min read
AI Project Discovery: 20 Questions Before You Start Building
Twenty questions that separate viable AI projects from doomed ones, applied at the discovery stage in 2026.
8 min read
Choosing Open vs Closed LLMs Per Workload (Decision Framework)
A workload-by-workload framework for picking open-weights vs closed-API LLMs in 2026, with concrete examples and economics.
8 min read
Late Interaction Models: ColPali, Jina-ColBERT-V2, and Vision-Language RAG
Late-interaction retrievers like ColPali and Jina-ColBERT changed how RAG works on documents and images in 2026. The architecture and where it wins.
8 min read
SMB Founder Playbook: SWE-bench Verified — The 2026 Leaderboard
SMB Founder Playbook perspective on Where the leading autonomous coding agents stand on SWE-bench Verified after the April 2026 model releases.
9 min read
Reciprocal Rank Fusion in RAG: Why Simple Beats ML Re-Rankers for Most Use Cases
RRF is a one-line fusion trick that beats most learned re-rankers on real RAG workloads. Why it works and when ML re-rankers are still worth it.
7 min read
Few-Shot vs Zero-Shot vs Many-Shot: When Each One Wins in 2026
Frontier models changed when zero-shot suffices. The 2026 evidence on when few-shot, zero-shot, or many-shot wins for production tasks.
7 min read
Canary Deployments for New LLM Versions
Canarying new model versions catches regressions early. The 2026 patterns for safe LLM canary deploys and rollback automation.
7 min read
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