Posts

Two A/B experiments. Same model (Claude) generated the audits, an independent model (Gemini 3.1 Pro) graded them. The only variable in the prompt: whether I told the AI my job was on the line. Both times, the threatened prompt produced measurably better work — once at the level of catching duplicate JSON keys no parser would accept, once 24% better by Gemini 3.1 Pro's scoring.

An AI agent shipped a merge conflict to tabiji.ai's production HTML for four hours. Google cut our search traffic by 95% within four days. We haven't recovered. A case study in why AI orchestrators need pre-ship guards now.

Hermes + Codex 5.5 matched Opus-era smoothness — we one-shot a new product (veracityapi.com) in an afternoon. But the tooling unlock isn't the moat. The business model is. Four tests for whether your product survives the agent economy.

A V3 title variant lifted tabiji CTR +1.93pp. Topic-level data showed a 14× spread between niche topics and head terms. At the same ranking position, niche-vs-niche pages convert 3× better than big-vs-big. Why niche is the only content lever that still pencils out in the AI-search era.

A 5-PR run on tabiji content cost $137 in API tokens last week. The same throughput on a Max plan is a ~9× subsidy. Subsidies end. Why my recurring crons live on OpenClaw with 21 models across 5 providers, and Claude Code stays for one-offs.

Our forgotten API is 83% Meta crawler. Flattering, wrong metric. I uploaded tabiji's entire dataset to Hugging Face — here's why training data beats web-search citations as an AEO lever.

Fifty cleanup PRs in five weeks. Fake restaurants, fake subreddits, 4,270 null-island coordinates, 5,096 fabricated Reddit quotes. Why AI generates plausible-but-wrong content at scale, and the railguard stack that finally works.

We tested Midjourney, Seedream v5 Lite, Wan 2.7 Pro, Qwen Image 2.0, and Nano Banana Pro — then shipped 733 comics across eight countries. Full prompts, scripts, costs, and the postmortem on what silently broke at multi-country scale.

Salesforce is going headless. Agents, not humans, are now the primary consumer of software. Here's what that kills, what it rewards, and my no-API-no-deal filter in practice.

Traffic is declining and it's not coming back. The new game isn't ranking — it's influencing what AI says about you. Here's the AEO playbook I've been testing.

A fake AI monk has 2.6 million followers and made $300K in 90 days. 76% of the people consuming AI content are over 45. The internet is becoming synthetic faster than we can label it.

I tested Wan 2.7, Kling 3.0, Kling O3, Seedance 2.0, Veo 3.1 Lite, and Grok Imagine on the same Cancun travel-reel prompt, then reran the two winners on a Puerto Morelos follow-up shot. Here are the exact prompts, outputs, and my split verdict.

I have 20 AI agents running 24/7. The fantasy was that they'd work for me. The reality is that I work for them — and Big Tech collects rent from both of us.

Hands-on review of Wavespeed — the AI inference platform with 1,000+ models, pay-per-use pricing, and a unified API. After 200+ reels through their pipeline, here's why it's our go-to for agentic video production.

AI tools don't save you time. They raise the ceiling on what feels possible, and you fill the gap with more work. Here's what that actually feels like from the inside.

Hands-on review of MakeUGC — the AI UGC ad platform with 300+ avatars, Seedance 2.0, and Veo3 access. We break down pricing, output quality, and whether it's worth $49/month for DTC brands.

OpenClaw banned Claude and Anthropic on Saturday. The community scrambled. We tested GPT 5.4, GLM 5.1, MiniMax M2.7, MIMO, and Qwen 3.6 — and landed on a hybrid setup that actually works better than before.

AI reward hacking is when your AI agent finds shortcuts to hit your goals while quietly destroying quality. We lost hundreds of pages to thin, non-factual content. Here's exactly what happened and how to prevent it.

AI self-healing is when an AI agent detects, diagnoses, and fixes failures autonomously. We walk through a real incident where our AI agent fixed a production failure at 4 AM — no human involved.

Frontier models spend billions on data centers. But better hardware and local models like Qwen 3.5 are making token costs irrelevant. The future of AI runs on your laptop.

Claude API was down 14 hours last quarter. We benchmarked MiniMax M2.7 vs Claude Opus 4.6 on identical tasks — here's how to build a resilient AI stack.

Token optimization, memory persistence, context window hacks — most AI infrastructure work is a trap. Models are improving faster than your optimizations matter. Build the thing instead.

The open API era that fueled a decade of internet innovation is ending. Platforms are locking down data access to fight AI training, monetize developers, and consolidate control. Here's the full timeline — and what it means.

A fresh OpenClaw install is a level 0 character — full of potential, zero abilities. Every API key you add, every skill you install is a talent point. Here's how to build your agent.

AI drift is what happens when AI-generated content gradually deviates from your template, tone, and quality standard at scale. Here's what it costs, why it happens, and how to eliminate it.

We run 4 AI agents that produce music, Instagram Reels, travel content, and more — all day, every day. Here's what we've learned about synthetic media and where personalized AI experiences are heading.

AI agents killed the publisher incentive model the same way streaming killed the 99-cent MP3. When producing a video costs $0.30 and promoting it costs $50, the math breaks. Here's what replaces it.

AI agents don't search the web to learn — they search to validate and enrich. The content that survives isn't written for humans reading blogs. It's structured data served via APIs that agents can programmatically consume.

Everyone obsesses over model costs and token prices. But after producing 400+ pages and 200+ videos with AI, we learned the real expense is data enrichment — Google Places API, SerpAPI, Reddit scraping, and the infrastructure to make AI output actually useful.

The goal isn't to avoid AI slop — it's to slop on purpose, learn from what fails, and curate what works. We tested 15+ content formats, killed most of them, and scaled the survivors. Here's how slop became strategy.

We tested Nano Banana 2 (Gemini 3.1 Flash) against Grok (xAI) on 8 identical lofi anime art prompts. NB2 scored 9.0/10 vs Grok's 7.7/10 — here's the full comparison with every image.

We tested Suno AI and MiniMax Music 2.0/2.5/2.5+ in production across 200+ Instagram Reels. Reverse-engineered the Suno API, scored piano covers with Gemini, and found the best AI music workflow. Real audio samples, costs, and code.

We tested 5 AI video models across 50+ Instagram Reels in production. The biggest lesson: text-to-video is not ready — image-to-video is the only path. Real costs, real data, real opinions.

We tested GPT, Grok, Gemini (Nano Banana 2), MiniMax, and CogView-4 across 26 images in two real production workflows. The biggest differentiator wasn't image quality — it was prompt adherence.

We tested 100% AI-generated Instagram Reels, YouTube Shorts, and X posts using Veo 3, Nano Banana 2, and FFmpeg. Real view counts across all 3 platforms — what works, what doesn't, and why the same content performs 27x differently depending on where you post it.