Any psychologist still scoring the CVLT-II test using paper can now use AI to do the entire job in one minute. A psychologist came to me with a problem after testing a client. She was stuck with two bad options. She either had to manually score the highly complex paper testing sheets or log into the publisher's portal. The portal requires spending valuable time clicking choices and typing in answers. She was essentially acting as an administrative assistant, duplicating the client's responses. If you know the CVLT, the manual scoring for this test is incredibly complicated. It requires: 🎈 Looking up data tables for specific gender and age brackets. 🎈 Running difficult mathematical formulas based on the client's exact responses. 🎈 Spending chunks of the day doing manual calculations instead of clinical work. Publishing companies charge quite a bit of money for using their online portals to score the tests that clinicians use every day. But I believe that once a clinician buys the testing manual, they should be able to use AI as a scoring assistant. It is just like hiring a human psychometrist to help you with the heavy lifting. Here is how we solved it using AI: 🎈 Scanning Handwriting: The AI scanned the paper tests with the client's handwritten responses. It hit about a 90% accuracy rate, even with poor doctor handwriting. 🎈 Loading the Rules: I uploaded the official data tables from the paid manual directly into the system. 🎈 Math Execution: I asked the AI to run the formulas and calculate the scores. The output was completely accurate and included clear explanations for every single part of the test. This experiment makes me wonder about the future of testing. Could AI help clinicians completely bypass manual scoring and stop paying high fees for simple, formula-driven calculations? If you are a clinician, how much time do you spend duplicating data into publisher portals every week?

Automation consultants charge $15K for what Claude Code now does in 2 hours. I know because we're the ones who used to charge it. Here's the exact process: Step 1: Discovery (20 min) → Paste your org chart, tool stack, and top 3 bottlenecks → Claude interviews you with clarifying questions → Outputs a full process inventory ranked by time cost Step 2: Workflow Mapping (15 min) → Describe any department's daily operations in plain English → Claude builds a complete process map → Every manual handoff, redundant step, and automation trigger flagged Step 3: Opportunity Audit (10 min) → Feed it the workflow map output → Returns your top 10 automation opportunities → Ranked by ROI, complexity, and build time Step 4: Architecture Design (20 min) → Claude designs the full system architecture → Which tools connect where, what the data flow looks like → Agents for complex logic, linear flows for the repetitive stuff Step 5: Build (ongoing) → Claude writes the actual workflow JSON → Self-documents everything as it builds Step 6: The output. A live dashboard your whole team can work from. → Clickable process maps for every department → Automation opportunities ranked by ROI → Implementation progress by phase → KPIs updated in real time → One link you share with clients, freelancers, or your team to execute This is what we hand every client at the end of discovery. The .md file is what makes all of it possible. Without it, Claude guesses. With it, Claude builds like a $15K consultant. Like this post, RT and comment "BLUEPRINT" and I'll send you the full prompt stack and the .md file we use internally. (Must be following so I can DM you) 🎁 Bonus: The first 100 people get a real Precision AI Blueprint — an actual sample audit doc from a client engagement so you can see exactly what the output looks like.

After talking with dozens of psychologists and physicians about the realities of mental health assessment, one thing has become clear: the tools currently available aren't built for the clinical process. They are often just clunky administration systems that feel like an obstacle rather than an asset. ​When we started building Hyperfocus Assessments, the goal was to change that. We wanted to create something that focuses entirely on the clinical side—supporting the actual steps of an assessment, the administration efforts, and the heavy lift of report writing. ​We are already seeing the impact: 🎈 ​A 50% reduction in administrative effort. 🎈 ​Clinicians are finally able to take on more clients because they aren't buried in paperwork. 🎈 ​No more shuffling files or juggling multiple screens just to synthesize data. ​We’re using the latest AI assistance to improve the day-to-day job of an assessor. I’m incredibly excited for more people to meet Sasha very soon. Sasha is our "human-in-the-loop" system, designed to take on the heavy cognitive load that clinicians face daily, allowing them to focus on the person sitting across from them. ​If you’re a clinician looking for a better way to manage assessments, I’d love for you to check out what we’re building at hyperfocus.online/

I like working with video editors but there are some videos that I don't believe we should spend so much time on editing. So I'm looking at Wondercraft Video as one such option to help us.

It's eye-opening what AI is exposing in mental health. We're seeing how much worse the mental health crisis is. OpenAI released these numbers: 🚩~560,000 people each week show possible signs of psychosis or mania in conversations (approx population Atlanta). 🚩~1.2 million people each week show indicators of suicidal planning or intent (approx population of Dallas). These numbers, and more, were shared by OpenAl from a recent study after a year long collaboration with 170 mental health experts. I'm surprised by these numbers. Aren't you? Did anyone in health health think it was this bad? This should also scare those in mental health because we are pushing the limits of the current system and that was without knowing there are many more people out there who are in need of support.