Buying guides
Practical shortlists for AI and hardware decisions.
Use these pages when you need a buying answer, not a thousand-product catalog.
Buying guides
Practical shortlists
AI model routing guide for product teams
AI ModelsHow to split routine prompts, hard reasoning, coding review, and agent work across model classes without letting cost or latency drift.
- Escalate only high-risk tasks
- Track cost per completed job
- Keep a cheaper default for bulk work
Which AI coding tool fits your team
AI ToolsA team-oriented comparison of coding assistants, repository agents, review bots, and prompt automation tools.
- Solo builder: coding assistant
- Product team: repo-aware agent
- Delivery team: review and prompt governance
Meeting memory rollout checklist
AI AppsWhat to verify before turning personal AI notes into organizational memory: exports, retention, permissions, citations, and admin review.
- Start with power users
- Check export quality
- Do not skip retention policy
Best AI laptop setup for founders
LaptopsPortable machines that can run product work, calls, light local inference, and occasional creative workloads without becoming a desk-only rig.
- Best overall: balanced 14-inch workstation
- Best battery: efficient AI PC
- Best budget: upgradeable dev laptop
GPU memory guide for local models
GPUsHow to think about VRAM, quantization, context length, and workstation power before buying a card for local inference.
- Minimum practical VRAM
- When dual GPUs help
- When cloud rental wins
Server buying checklist for inference
ServersA practical list for small teams buying rack hardware: power, thermals, remote management, spare parts, noise, and rack depth.
- Lab rack profile
- Office-safe node
- Expansion-first chassis