AI Workflows
Can AI Learn From Failures During a Project?
AI can use earlier failures during a project, but important lessons are not automatically permanent. We turn meaningful failures into project knowledge.
Read experimentWorthy Trying Library
All Experiments
Browse the full Worthy Trying collection. Every article comes from a practical question, project result, failure, or lesson we believed deserved its own reader job.
AI Workflows
Why AI Workflows Become Bloated
AI workflows become bloated one reasonable fix at a time. We learned how rules, validators and exceptions can create more work than they prevent.
Read experiment
AI Workflows
Can AI Maintain a Standard Across Dozens of Outputs?
AI can produce one strong result, but maintaining the same standard across dozens of outputs is harder. Here's what helped us improve consistency.
Read experiment
AI Reliability
Why AI Can Sound Right Even When the Result Is Wrong
AI can produce fluent, confident explanations that are still wrong. We learned to separate plausibility from evidence and test important outputs.
Read experiment
AI Reliability
Can AI Recognize When Its Own Answer Is Bad?
AI can often identify weaknesses in its own response when asked to critique it, but self-critique is not the same as independent verification.
Read experiment
AI Workflows
Why Starting Over With AI Can Work Better Than Another Revision
Repeated AI revisions can preserve bad assumptions and accumulated patches. Sometimes a clean restart from the corrected requirements is faster and better.
Read experiment
AI Reliability
Why AI Sometimes Changes Things You Didn’t Ask It to Change
AI can solve the requested problem while also changing nearby content, code, or visuals. Learn why it happens and how preservation constraints reduce the risk.
Read experiment
AI Workflows
Why Simplifying Our AI Workflow Made It Better
Our AI workflow became slower as we added more checks and stages. Removing unnecessary machinery made the process faster and easier to trust.
Read experiment
AI Coding
Can AI Debug a Website From a Screenshot? We Tried It
A screenshot can give AI valuable evidence about a broken website layout. We tested when visual debugging works and when the underlying code is still necessary.
Read experiment
AI in Practice
Can AI Write Building Instructions You Can Actually Build From?
AI can help write building instructions, but buildability requires dimensions, materials, structure, fasteners and assembly steps to reconcile.
Read experiment
AI Images & Design
We Tried Generating AI Images Before Writing the Article
We tested generating AI images before writing the article. It improved alignment, but taught us that a shared specification matters more than production order.
Read experiment
AI Images & Design
Why AI Struggles to Keep the Same Object Consistent Across Images
AI can generate a convincing object and then change its design in the next image. Here's what we learned about visual consistency across a series.
Read experiment
AI Writing & SEO
Why Good AI Writing Can Still Be Bad Content
AI can write smooth, professional prose that still fails the reader. We learned to separate writing quality from content value.
Read experiment
AI Writing & SEO
Why Word Count Is a Bad Way to Judge AI Content
Word count can reveal unusual content, but it cannot judge quality. We stopped using length targets and focused on whether the reader's need is complete.
Read experiment
AI Workflows
When AI Creates More Work Than It Saves
AI isn't automatically a time saver. Repeated corrections, validation and workflow maintenance can make automation cost more than it saves.
Read experiment
AI Workflows
Why AI Is Better at Tasks Than Managing Entire Projects
AI can perform individual tasks remarkably well while long projects still drift. Here's why task execution and project management need different controls.
Read experiment
AI Workflows
What Is AI Project Drift? Why Long AI Projects Slowly Go Off Course
Long AI projects can slowly move away from their original goal as corrections and experiments accumulate. We call this AI project drift.
Read experiment
Using AI
Examples vs. Instructions: Which Teaches AI Better?
Examples can communicate qualities that are difficult to describe, but copying them too literally creates new problems. Here's how we use examples with AI.
Read experiment