https://productcto.com 2026-10-26T08:00:00.000Z weekly 1 https://productcto.com/pricing 2026-11-08T14:21:31.167Z monthly 0.9 https://productcto.com/about 2026-11-08T14:21:31.167Z monthly 0.8 https://productcto.com/feed 2026-10-26T08:00:00.000Z weekly 0.8 https://productcto.com/saas-ai-product-launch 2026-11-08T14:21:31.167Z monthly 0.8 https://productcto.com/ai-agent-evaluation 2026-11-08T14:21:31.167Z monthly 0.8 https://productcto.com/enterprise-ai-agents 2026-11-08T14:21:31.167Z monthly 0.8 https://productcto.com/fractional-cto 2026-11-08T14:21:31.167Z monthly 0.8 https://productcto.com/fractional-product-lead 2026-11-08T14:21:31.167Z monthly 0.8 https://productcto.com/ai-architect 2026-11-08T14:21:31.167Z monthly 0.8 https://productcto.com/industries 2026-11-08T14:21:31.167Z monthly 0.7 https://productcto.com/industries/software-saas 2026-11-08T14:21:31.167Z monthly 0.7 https://productcto.com/industries/digital-agencies 2026-11-08T14:21:31.167Z monthly 0.7 https://productcto.com/industries/healthcare 2026-11-08T14:21:31.167Z monthly 0.7 https://productcto.com/industries/fintech 2026-11-08T14:21:31.167Z monthly 0.7 https://productcto.com/industries/real-estate 2026-11-08T14:21:31.167Z monthly 0.7 https://productcto.com/industries/education 2026-11-08T14:21:31.167Z monthly 0.7 https://productcto.com/industries/b2b-ecommerce 2026-11-08T14:21:31.167Z monthly 0.7 https://productcto.com/industries/media 2026-11-08T14:21:31.167Z monthly 0.7 https://productcto.com/industries/insurance 2026-11-08T14:21:31.167Z monthly 0.7 https://productcto.com/industries/life-sciences 2026-11-08T14:21:31.167Z monthly 0.7 https://productcto.com/industries/restaurants 2026-11-08T14:21:31.167Z monthly 0.7 https://productcto.com/industries/mobility-travel 2026-11-08T14:21:31.167Z monthly 0.7 https://productcto.com/industries/government 2026-11-08T14:21:31.167Z monthly 0.7 https://productcto.com/site-index 2026-10-26T08:00:00.000Z weekly 0.4 https://productcto.com/feed/ai-exposes-decisions AI exposes the decisions slow delivery used to hide https://jlmpauzexxdgsfqjokqm.supabase.co/storage/v1/object/public/feed-media/posts/ai-exposes-decisions-reel.jpg AI is exposing the unclear decisions that slow delivery used to hide. Meetings, reports and long build times used to cover them. There used to be a long gap between a decision and its delivery. The work lagged behind, and the decision shifted on the way. Now delivery is fast, and even a small decision ships almost at once. That's why seniors and juniors use AI so differently. Seniors use it to turn their decisions into delivery. Juniors use it as a sparring partner, to reach decisions. Both are valuable, and both carry a risk that's easy to miss. If you're senior, check that AI didn't quietly change your decision while delivering it. If you're junior, check that it isn't steering you the wrong way. The faster delivery gets, the more each decision needs a second look after it ships. https://jlmpauzexxdgsfqjokqm.supabase.co/storage/v1/object/public/feed-media/posts/ai-exposes-decisions-reel.mp4 54 2026-10-26T08:00:00.000Z yes 2026-10-26T08:00:00.000Z monthly 0.6 https://productcto.com/feed/the-market-is-moving-most-builders-are-not-watching 2026-10-23T07:00:00.000Z monthly 0.6 https://productcto.com/feed/evals-are-product-validation AI evals are closer to product validation than testing https://jlmpauzexxdgsfqjokqm.supabase.co/storage/v1/object/public/feed-media/posts/evals-are-product-validation-reel.jpg Your AI feature passes every test, and customers still don't use it. I see this every week. Most teams test AI the way they test code: a fixed question, an expected answer, pass or fail. But an AI answer is only right if it helps the customer. In my research, about four in five AI evaluations only check if the answer is correct. About one in five checks if it does the customer's job. An answer can be correct, and still useless. So before you test, decide what good looks like. Five things. First, the job it does for the customer. Second, what it may do on its own. Third, when the work counts as done. Fourth, who answers when it's wrong. And fifth, what the work is worth. Correct answers cover just one of the five. Testing AI is product work. Start from your customer's job, and a passing score finally means something. https://jlmpauzexxdgsfqjokqm.supabase.co/storage/v1/object/public/feed-media/posts/evals-are-product-validation-reel.mp4 69 2026-10-20T07:00:00.000Z yes 2026-10-20T07:00:00.000Z monthly 0.6 https://productcto.com/feed/the-market-now-names-n8n-more-often-than-zapier 2026-10-17T07:00:00.000Z monthly 0.6 https://productcto.com/feed/agents-write-the-code Accountability is the one job agents cannot take https://jlmpauzexxdgsfqjokqm.supabase.co/storage/v1/object/public/feed-media/posts/agents-write-the-code-reel.jpg Under every AI chat box sits one honest sentence: AI can make mistakes, please double-check. Read it as a contract. AI now writes the code, draws the screens, designs the system and makes decisions. That work got fast and cheap, but the responsibility stayed with a person. An AI can make a decision, but it can't own one, and nobody can hold it to one. So whoever runs the AI answers for all of the work. So the cost of building software has moved. It's no longer in writing the code. It's in deciding two things: are we building the right thing, and are we building it right? Those decisions stay human. Let AI do the work. Keep the decisions, and own them. That's your job now. https://jlmpauzexxdgsfqjokqm.supabase.co/storage/v1/object/public/feed-media/posts/agents-write-the-code-reel.mp4 55 2026-10-14T07:00:00.000Z yes 2026-10-14T07:00:00.000Z monthly 0.6 https://productcto.com/feed/nobody-has-won-brand-strategy-yet 2026-10-11T07:00:00.000Z monthly 0.6 https://productcto.com/feed/agent-code-clean-and-overbuilt Agent code is clean line by line, but overbuilt as a whole https://jlmpauzexxdgsfqjokqm.supabase.co/storage/v1/object/public/feed-media/posts/agent-code-clean-and-overbuilt-reel.jpg Code written by AI looks clean, line by line. But as a whole, it's built far bigger than the job needs. It follows a pattern: a whole framework for one single case, a settings layer for one setting, and a separate service for one call. Checking every line won't catch it. And asking for a grand design only adds more layers. What works is the opposite. Tell it to stay small, stay focused, and build only from the facts in front of it. Then give it a frame: written guidelines, tests it has to pass, and a drawing of how it all fits together. Every gap, it fills with a guess. Every guess is a risk. Deciding which risks to take is your job now, and it's where developers earn their place. https://jlmpauzexxdgsfqjokqm.supabase.co/storage/v1/object/public/feed-media/posts/agent-code-clean-and-overbuilt-reel.mp4 51 2026-10-08T07:00:00.000Z yes 2026-10-08T07:00:00.000Z monthly 0.6 https://productcto.com/terms 2026-11-08T14:21:31.168Z yearly 0.3 https://productcto.com/privacy 2026-11-08T14:21:31.168Z yearly 0.3 https://productcto.com/imprint 2026-11-08T14:21:31.168Z yearly 0.3