Practical engineering guides on AI, web, mobile, and SaaS — written by the team that ships it.
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AI browser automation matured in 2024-2026. OpenAI's ChatGPT agent (and its CUA model), Anthropic Computer Use, browser-use, and Playwright MCP all ship. Here's what works in production, what breaks, and how to pick between them — from a team that's shipped agentic browser automation for clients in retail, travel, and ops automation.
Running 10 in-house AI products and 100+ client AI deployments, we have a playbook for cutting LLM bills without losing quality. Model routing, prompt caching, output minimization, structured outputs, and the cost gotchas teams find at $20K-$200K/month.
After two cycles of hype-and-bust, blockchain in 2026 has a small set of use cases that actually work in production — and a long list that still don't. This is the honest engineer's guide to what's worth building, what's not, and which stack to pick if you must.
We ship AI in production across 10 in-house SaaS products and 100+ client projects. This is the frontier-model comparison we actually use to pick between the Claude 4.x, GPT-5.x, and Gemini 3.x families — pricing, real context limits, rate-limit behavior, and the failure modes nobody talks about.
We've built custom CRMs for 50+ teams and migrated others out of Salesforce and HubSpot. This is the honest decision framework — when to buy off-the-shelf, when to bend it with apps, when to build your own, and the long-term cost math behind each path.
The EU AI Act is now enforced for general-purpose AI obligations. This is the engineer's compliance checklist for SaaS companies — what to ship, what to document, what to delete, and where the GPAI vs high-risk classification actually bites in production.
Chatsy is the AI customer-support platform we built and operate. This is what we learned shipping agentic AI in production — what worked, what we rebuilt twice, what we'd do differently if we started today.
On-device LLMs grew from research demo to production-shippable in 2024-2026. Apple Intelligence, Phi-4 Mini, Gemma 3, and Qwen 3.5 small now run usefully on phones. This is the architecture guide — what works on-device, what still needs the cloud, and how to design the hybrid right.
We've shipped payment integrations across 100+ client engagements and our own 17 production SaaS products. This is the architectural comparison — Stripe vs Adyen vs Checkout.com vs custom-on-rails — with the trade-offs nobody warns you about until you're 6 months in.
Prompt injection is the SQL injection of the AI era — known, real, and shipped into production every day by teams that didn't know the defense patterns. This is the practical guide — what works, what doesn't, and how to architect agents that don't leak data or execute attacker-controlled actions.
AI agents didn't kill RPA — they exposed where each one actually works. After shipping both across 100+ client automations, here's the honest decision framework for when to deploy traditional RPA (UiPath, Automation Anywhere) vs an AI agent (Claude, GPT, Gemini).
Pricing math, integration patterns, opt-in rules, and the operational gotchas — from a team that has shipped WhatsApp Business API in production for 30+ clients. What the Meta docs leave out.
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