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Neuralpost Quarterly · Independent reviews
Issue № 03 Summer 2026
San Francisco, CA · Berlin, DE
Live · Chen is on week 3 of a 6-week LLM API benchmark

AI tools tested where they count.

Two researchers, six months a year at the keyboard, zero vendor briefings. We pay for every subscription at retail and only write about what we'd use a second time.

Cover Story № 03 · pp. 04
The Developer's AI Stack, 2026 14 picks
Best LLM APIs · 2026 Updated May 9
"A context window tells you nothing until you've actually filled it."
Lab Note 05.12
2.3M tok benchmarked · 2026
47tools in rotation
14guides published
$0in vendor briefings · ever
Now testing
Claude API · latency stress test, 10K requests Cursor Pro · 2,400 completions logged RunPod H100 · sustained throughput benchmark Midjourney v7 · 200-prompt commercial batch Pinecone Serverless · cold-start latency tests Modal Labs · cold boot vs. warm boot study Claude API · latency stress test, 10K requests Cursor Pro · 2,400 completions logged RunPod H100 · sustained throughput benchmark Midjourney v7 · 200-prompt commercial batch Pinecone Serverless · cold-start latency tests Modal Labs · cold boot vs. warm boot study

This week's guide

Updated May 14, 2026

Tools, by category

Every tool lives in one spot
LLM Models
APIs, local models, and fine-tuned variants.
14 items tested
AI Writing
Copywriting, editing, long-form, SEO.
11 items tested
AI Coding
Assistants, completions, review, testing.
9 items tested
AI Image Gen
Text-to-image, editing, upscaling.
12 items tested
AI Video
Generation, editing, avatars, dubbing.
8 items tested
GPU Servers
Cloud, spot, dedicated, edge inference.
16 items tested
AI Agents
Automation, multi-agent, browser, workflow.
7 items tested
Vector DBs
Embeddings, retrieval, hybrid search.
8 items tested
All ten categories →

More guides

Subscribed, tested, ranked
Spring 2026
API Review

Best LLM APIs for Developers

We benchmarked 11 APIs across 2.3M tokens to land on these six — the only ones we'd integrate again with our own money.

6 items 0 mi tested Upd. May 9
See all guides →

We don't take vendor briefings. Not one.

It's the simplest way to keep a review honest. We pay for every tool at retail, and we use the same affiliate accounts you do — which means we have a strong incentive to recommend things that actually convert. And things that convert are usually things that are good.

Read the methodology →
$0in vendor briefings
100%paid at retail
2researchers, not 20
6 moavg. test window

From the lab, lately

Less rigorous, more honest
Field Note

Cursor vs. Copilot: 60 Days In, Here's What We Actually Use

We ran both on the same real codebase for two months. The gap is larger than we expected.

Chen Wei · March 11, 2026 · 8 min
Field Note

GPT-4o vs. Claude 3.5: A Real Cost Analysis After Six Months

After processing 1.2M tokens on both APIs with identical workloads, here's what the bill actually looks like.

Chen Wei · April 18, 2026 · 9 min
Field Note

What Happens to Six GPU Cloud Providers Under 72-Hour Sustained Load

We ran identical inference workloads across six providers for three days straight. Two throttled. One crashed. Three held.

Chen Wei · February 28, 2026 · 11 min
Field Note

Running LLMs Locally Without Losing Your Mind

The setup that finally made local inference practical — and the three things we got wrong the first two times.

Chen Wei · March 28, 2026 · 7 min
Field Note

The One API We Always Reach For

After two years and 20+ integrations, one SDK keeps showing up in every project regardless of the use case.

Chen Wei · February 14, 2026 · 5 min
Field Note

We Cancelled 12 AI Subscriptions

A full audit of what we were paying for, what we actually used, and what we replaced with a single better tool.

Sara Kim · January 22, 2026 · 11 min

The signal.

A short, occasional email — one guide, one note from the lab, one tool we're benchmarking. Sent when there's something worth saying.