
How must it feel to be so confident and yet so wrong
The actual point of this post is solid. Just how they got there... woof

The actual point of this post is solid. Just how they got there... woof
The tool has a curated list of resources that are interesting to me. Every morning it runs through them, identifies the most interesting ones and makes me a podcast and sends it to me. I made it so people can sign up and get the podcast also.
Then I decided to make this cool little video about it and host it on the site
I made a tool that creates a podcast (~5 mins) every morning About anything new and exciting in the world of AI - Specifically interesting new tools, repos and high level news updates
You can sign up here and you'll get the podcast every morning
https://podcast.ktlystlabs.com/
I was able to make this podcast myself on Claude Code end to end and the speaking is taken from Notebook LM - Happy to share the repo if anybody wants to make good their own
Behavioral interviews are a trip. There's all these different frameworks and all this different advice. Before every interview, I have sat for hours watching videos and preparing. I would've loved to have a coach that would talk to me back and forth, kind of like Chan GPT, but just for this.
So I decided to make one as a site project. Right now, you can use it five times for free. And if you like it, let me know. If you don't like it, let me know also. And I put in a paid tier at 29 dollars.
I built an agent that generates a podcast about all the AI news from the past 48 hours. It sends me a new ep every morning.
It was a bit of pain to create and automate - but I am loving it
I can also change it so it can be about any topic.
I worked for years both at FB (Meat) and Google on trust and safety / integrity investigations.
Feel free to ask anything. I'll share all I can.
I created an AI tool for OSINT investigations.
Inputted the recent IC3 report - it spat out a full graph of the assets, actors, locations and tactics + a full report with attribution
5 minutes
I looked into a recent IC3 scam alert about scams around the FIFA world cup.
Dropped the report in my OSINT tool - it ran a full investigation end to end, found it was run by a Chinese actors and identified the full network. It even wrote a full brief.
All in 5 mins
This is an update from this post https://www.reddit.com/r/threatintel/s/QnUVSryPcw - added better video and open source code repo
I miss using Maltego and I love using agentic workflows for investigations, especially OSINT.
So I made this (didnt really name it yet). Its an agentic link analysis tool that ingests investigative leads and runs intel fan out on its own.
You can connect it to virtually any OSINT source as long as you have the API key.
You can pivot on the graph, expand on nodes, and it writes the report for you along with next steps.
I open sourced it so have fun - the link is in the first comment
Happy to head any feedback
I feed claude a long video with instructions - it gives me an edited version with a voice over and captions / graphics!
What this plugin does:
umm, uh), false starts, and dead space between takesClaude never watches the video frame by frame. It reads it (transcript + on-demand timeline previews), so it cuts on word boundaries and stays cheap and fast. It proposes a cut, waits for your OK, renders, checks every cut for jumps and audio pops, then shows you the result.
Link to plugin in first comment
I watched this video on Instagram about how you can use a couple of mCP servers and a skill to make Claude a video editor, and it freaking works
I gave Claude a 25 min video and told it how long I want it to be, the goal of the video and how to caption
It came back with exactly that. A 60 sec video with captions.
My mind was blown
I see two camps out there
The people who can focus on one project (Claude instance) at a time and run it end to end
The people who have at least 4 terminal windows at any given time, jumping between them
Which one are you?
I really miss working with Maltego (for the good parts of it). So I decided to make an agentic OSINT investigator bot with a living graph.
It takes in a seed and an objective. For example "heres a url, find all you can about it, fan out and write a report". Then it goes out, does web searches, connects to OSINT tools and MCP servers I have set up, and runs the investigation.
I just need to guide it sometimes via chat to keep it from going off the rails.
Then I get a graph I can pivot on and a full summary report.
For the investigation in this short video, I started with 2 scammy looking URLs and it did the rest.
I would love feedback and thoughts.
If this is against the rules, I apologize. Go ahead and remove
I've been contracting for a PI doing OSINT investigations. I've completely automated it end to end.
I have an AI agent that extracts all the information from documents - deterministically (so no Hallucinations)
Then it runs osint sweeps and correlates the information and then it writes a full investigative report with screenshots.
I want to understand if this is something that people could use as a service
Claude likes to give me walls of text
I ask for a summary and it's still hard to follow
I started asking it to explain simply as if I was high - that actually worked
Then I asked "explain simply as if you're snoop dogg and I'm very high" - that works even better!
So I made a skill and named it /snoop
Then I use speechify to have it read to me as Snoop. It's half cringy and half awesome, but you know what - I get what it's saying and I get a laugh or two.
I no longer use the chats - I moved all my work into Claude command line across multiple connected instances
Remembering all the details from all the meetings, documents and threads was impossible. So I devised a way to have Claude take all the information that is flying around me and help me make informed decisions, write plans and documents and make sure nothing is lost.
I made a folder structure that compounds my decisions and inputs over time. It is able to track my relationships with others on the team and stakeholders.
The inputs I give it:
- emails
- call transcripts
- documents
- Slack threads
- social posts
- just my back and forth chats
What it can do:
- Write anything for me - dms, emails, documents
- Do research into any topic with custom Mcps
- Analyze spreadsheets deterministicly
- Correlate data across conversations
It allows me to run multiple businesses without losing track of getting overwhelmed.
Happy to share more info
12 years in threat intelligence. Left corporate to start a security company and consultancy solo. With ADHD.
The first month nearly broke me. I'd start three threads and lose two by lunch. Monday's decisions gone by Wednesday. My calendar said "follow up with X" and I had no memory of why.
I stopped trying to fix my brain and built a second one. What it actually does in a normal week:
By 8am: 4-hour action plan on my desk. Energy-tagged.
Time-estimated. Already-drafted follow-ups for everyone I owe one. I review and send.
Debriefs: I paste a call transcript. It extracts what was promised, who said what, what to act on, what goes in the CRM. Files itself.
Writing: I haven't drafted an email or post from scratch in 4 months.
It writes in my voice, trained on 4 years of my own posts and DMs. Recipients don't notice.
Legal work: same system, different role. Generates separation packages, redlines vendor contracts, drafts compliance memos with citations.
Investigations: another role. Tracks active OSINT cases, manages evidence, drafts intel reports.
Six roles total. Same brain underneath. Each role reads from the same memory, so insights from a sales call can inform a legal review without me wiring it.
The ADHD-aware design choices:
- No shame language. Ever.
- Effort tracked (you sent 4 messages) not outcomes (nobody replied)
- If I can't copy-paste, click, or check it off, it doesn't belong on my plate
Open source. Fork it. Teach it your work. (happy to send it over)
I think I accidentally built an AI Google technical program manager.
I started making separate Claude instances for consulting projects and feeding them:
At first it just summarized things.
But over time it started acting more like a persistent TPM/chief of staff that actually remembers what’s happening across the organization.
The interesting part is the workflow.
I can tell it: “Stakeholder X said Y in this meeting.”
And it can:
At some point it stopped feeling like “chat with your docs” and started feeling like organizational memory.
Made me realize how much operational work is really just maintaining continuity across fragmented conversations.