When you’re running a SaaS company, renewals aren’t just an administrative step — they’re the heartbeat of sustainable growth. Renewals signal that customers keep receiving value, that your product is embedded in their workflows, and that acquisition spend compounds rather than evaporates. You can have the best acquisition strategy in the world, but if customers […]
Learn practical, battle-tested ways to cut LLM inference costs — from model-level optimizations and smarter hardware choices to operational tricks like batching, caching, and context engineering — and get clear guidance on when to apply each technique and what to watch for. Running large language models in production is a recurring bill you can’t ignore. […]
Quick summary: Buying or integrating a third-party model isn’t the same as choosing a library. It’s a cross-functional program that touches product, engineering, security, privacy, legal, finance, and customer teams. This playbook gives product managers an operational process and downloadable-ready artifacts (scoring matrices, test suites, sandbox checklist, contract snippets, rollout stages) so you can evaluate […]
Reinforcement Learning from Human Feedback (RLHF) is no longer just a research trick — it’s the practical way teams align large language models to be helpful, safe, and on-brand. But the algorithm (reward model + policy tuning) is only half the work. To operate RLHF at SaaS scale you need robust human-feedback pipelines: consistent rating […]
The micro-SaaS moment isn’t over — it’s shifted. In 2025–26 the big change is this: AI stopped being a shiny feature and started being the engine that makes tiny, focused products useful enough for customers to pay month after month. If you’re an indie maker or a small team, that’s good news. You no longer […]
A hands-on playbook for engineering, product and ML teams — design patterns, routing, fallbacks, arbitration, and ops for running multiple models from different vendors in production. Running multiple vendor models together isn’t just a vendor-diversity exercise or a cost play. It’s about resilience (one vendor has an outage), economics (use cheaper models when good enough), […]
Building AI features into a SaaS product is exciting — and expensive if you don’t account for where that cost actually lands. Most FinOps writeups focus on high-level savings: batching, quantization, or switching models. That’s useful, but it misses the question product teams desperately need answered: How do you allocate LLM costs to features and […]
Building an in-app copilot is one of the highest-impact features you can add to a modern product. When it’s done well, it speeds up users, reduces support load and becomes the feature people tell others about. When it’s done badly, it confuses users, leaks sensitive info or damages trust. This rewrite keeps the full technical and […]
TL;DR Prompt injection and similar attacks are real risks; defend with input validation, prompt separation, and runtime filters. Adopt OWASP LLM Prompt Injection cheatsheet controls and instrument model calls for anomalous behavior. Design a kill-switch, human approvals for risky actions, and rigorous logging for audits and incident response. Large language models and the agentic systems […]
Legal disclaimer: This article summarises California Senate Bill SB-53 for informational purposes only and does not constitute legal advice. Consult a licensed attorney for compliance guidance. TL;DR SB-53 (Transparency in Frontier AI Act) requires large frontier model developers to publish safety frameworks and testing information. SaaS vendors should review procurement & provider disclosures and update […]