i have a friend when we get together who constantly just talks about getting promoted at his job, & what he needs to do this cycle or that cycle to get a promo to director. pretty nuts to always have this as a background process in your mind. like what terrible use of your personal cognition & bandwidth. the only way to get out of this weird grind & never stand in this line is to create & create well on the outside (companies / content or both).

Quick observation on why AI has exploded at work, but has been slow to disrupt consumer apps: At work, AI follows patterns and gets rid of drudgery (good!) At home, AI follows patterns but it generates slop (bad!) This is why AI has taken off at work, but not so much for consumer apps and experiences (social, entertainment, dating, etc) Much of work is drudgery - filling out forms, following processes, writing updates, reviewing boilerplate code, etc. - and AI does a great job compressing this down the boring steps so that humans can focus on the high-leverage steps. The boring/routine work is not hard, but they often take a lot of steps and you have to stitch together a lot of data. You follow patterns. AI is good at following patterns too. Consumer attention, on the other hand, is hard to win over because people crave novelty, seek parasocial relationships, and are so cognizant of AI slop. A video of an attractive person talking loses its ability to generate parasocial relationships. In domains like social media, video, etc where authenticity is paramount, a distorted AI sign in the background can ruin the entire thing. Novelty is generated by surfing the cultural wave with something new and unique - AI slop often pattern matches to the past, after all, it’s the past that’s in the data set, and as a result, new/unique is hard This is a form of “adversarial creativity” - and it exists in business as well. When you think about inherently adversarial activities in business - like sales and marketing, where novel messaging, competitive move+countermove dominate - AI has received the most scrutiny for generating slop. No one wants the same sounding AI generated cold emails. No one wants to use AI slop software. You have to go outside the model in order to really land a message. Perhaps this is the ultimate human-in-the-loop problem, because to do something fresh and unique requires adversarial creativity. Or maybe with enough advancements around being able to observe and react in real-time, future AI models will be able to say something novel by taking into account the X timeline from the past 24 hours.

Elon Musk told a story that should terrify every AI company on Earth. His son Saxon is autistic. Saxon couldn’t understand why the family went to restaurants. You can get the same food delivered. You can call your friends over. You can eat better at home for half the price. So why go? Musk: “He had an epiphany and said, ‘Oh, the reason people go to restaurants is to hang out with strangers.’” A kid who takes the world literally just decoded something the rest of us never thought to question. We like being around people we’ll never know. Look at what we already built. Delivery apps so you never wait in line. Remote work so you never share an office. Self-checkout so you never talk to a cashier. Every innovation of the last 20 years was a bet against human proximity. Every one paid off. Until it didn’t. Loneliness is now a public health emergency. Depression has doubled since the smartphone. The average American has fewer close friends than any generation in history. We didn’t remove friction. We removed the thing friction was hiding. Now look at what’s coming. AI agents that handle your emails. AI companions that replace your conversations. AI assistants that make every human interaction optional. Same playbook. Same bet. Except this time we’re not engineering out strangers. We’re engineering out humans entirely. The coffee shop where nobody knows your name. The subway where no one speaks. The restaurant where you’ll never see that couple again. Those aren’t failed connections. They’re the background radiation of belonging. We don’t just need people who know us. We need to exist in rooms full of people who don’t. That’s what a kid understood at a dinner table that billion-dollar companies still can’t grasp in a boardroom. We spent 20 years building a world you never have to show up to. AI is about to finish the job. And nothing it builds will ever replicate sitting in a room full of strangers and not feeling alone.

I have never been an FBI agent. Never conducted an investigation. Never worn a wire or served a warrant or spent a winter in a field office where the heating runs four hours behind the interrogation schedule. I was a congressional staffer. Then a political appointee. Then a different kind of political appointee. Then the Director of the Federal Bureau of Investigation, which is also a kind of political appointee, except the furniture is nicer and the jet is mine. I run the building. I would like to tell you about the jet. It seats fourteen. It costs sixty million dollars. The interior was refurbished during the Bush administration and the procurement file describes the upholstery as "heritage cognac." I know this because I requested the file. Not for oversight purposes. I wanted to know the name of the color so I could describe it at dinner. Heritage cognac. It smells like a law firm that has never lost. I spend a lot of time in that smell now. I think it is the smell of having arrived somewhere that was never meant for you, and noticing that nobody has asked you to leave. Washington to Philadelphia is a hundred and forty miles. Amtrak runs it for forty-nine dollars. I flew the Gulfstream on May 10th because Alexis wanted to see George Strait. The suite was thirty-five thousand. Maybe fifty. I don't track numbers below six figures. The flight crew stayed on past eleven. Overtime. Security too. Someone will calculate the cost per mile of flying a sixty-million-dollar aircraft to cover a distance shorter than most Uber rides. That someone will not be me. I was in the suite. The suite didn't have a calculator. It had George Strait. The Bureau told reporters Alexis was "an invited guest of the performers." Representatives for George Strait and Chris Stapleton did not confirm this. They were never going to. But the FBI said it, and under my leadership, when the FBI says something, that is the evidentiary standard. I run the building. The building said it. It's true. Her protection detail is where the budget gets interesting. Twenty-four-seven coverage. SWAT-certified agents. Field officers drawn from multiple Bureau offices nationwide. Two armored SUVs at minimum. Hair appointments. Musical appearances. A blowout in Nashville required four agents in a parking lot for ninety minutes. The annual cost is roughly one million dollars before overtime, vehicle maintenance, and incidentals. The Bureau cites "hundreds of credible violent death threats" as justification. One person has been arrested. His name is Alden Welch Ruml, twenty-six, from Massachusetts. He sent emails. He faces five years. One emailer. One million dollars a year. Four SWAT agents per errand. A quarter of a million dollars in federal protection per verified threat. For context: the average FBI field office spends less annually on its entire confidential human source program. Informants embedded inside drug cartels, counterterrorism cells, organized crime families — the people whose testimony sends other people to prison — cost the Bureau less to keep alive than it costs me to ensure my girlfriend arrives at a salon escorted by men trained to rappel from helicopters. One of my officials suggested we conduct a formal threat assessment. A review. The kind of paperwork the Bureau has generated for seventy years whenever a protection decision requires justification. He had been with the Bureau for nineteen years. He asked in the hallway, in front of staff. I berated him. Not quietly. He stopped asking. He stopped asking. That phrase is going to recur in this document. I want you to notice it each time. Now. Alexis Wilkins is a country singer. I should mention this. She has released eight singles and one EP titled *Grit*. She has zero chart appearances. Her most-streamed song has five hundred and two thousand lifetime plays on Spotify. Taylor Swift accumulates that figure in approximately eleven minutes. A full-time country music journalist at the industry's leading independent publication stated that he had never heard of Alexis Wilkins before I started dating her. She has no active tour. She has never headlined a festival. Rolling Stone cited a forty-eight percent increase in her streaming numbers after we became public, which the same journalist clarified was "a forty-eight percent increase from virtually nothing." This is the person for whom the FBI fields a million-dollar annual protective detail. I want you to hold those two facts together — the streaming numbers and the security budget — and understand that they do not represent a miscalculation. They represent a value system. Her protection is not proportional to the threat. Her protection is proportional to her proximity to me. That is the formula. Proximity to the Director equals resources from the Bureau. I have applied it consistently. I have applied it to everyone. Which brings me to the people who are no longer here. I have removed over fifty career officials since January. Twelve have filed suit. Marshall Yates — my Congressional liaison, formerly the director of something called the Election Integrity Network, which existed to challenge the 2020 results — personally called field offices to compile names. Everyone who worked a case involving the President. Six thousand names were requested by the White House. The acting director before me was asked who he voted for. When he started supporting the President. Whether the FBI had tried to "put the president in jail." He was told the President hasn't forgotten. Three hundred counterterrorism and counterintelligence agents have been reassigned to immigration enforcement. The unit monitoring Iran — Iran, which operates proxy militias across four countries and maintains an active assassination program targeting American officials on American soil — was gutted. Six federal prosecutors in the Eastern District of Virginia have resigned or been pushed out rather than participate in the prosecution of the previous FBI Director, James Comey, whose crime was investigating the President and whose punishment is being investigated by the institution the President gave me as a gift. I am prosecuting the last Director for doing his job. I am doing this from a fifty-thousand-dollar suite while a sixty-million-dollar aircraft idles on the tarmac outside. Nobody in the building finds this ironic. The ones who would have found it ironic are gone. They stopped asking. My Deputy Director is Dan Bongino. He has never worked a federal case. His career before this was conservative talk radio. He receives the President's Daily Brief every morning — CIA product, NSA intercepts, the full intelligence take of the United States government — and he obtained his SCI clearance after I waived his polygraph. The FBI's own guidelines state that polygraphs are a "preliminary employment requirement." My lawyers reclassified him as a Schedule C political appointee. Experts said that's not how the statute works. The experts are career officials. Career officials are the previous administration's furniture. I am redecorating. Nikole Rucker is my personal assistant. She arrived at the Bureau on January 20th without a security clearance of any kind. She was physically escorted into the Director's suite because the door requires a clearance she did not possess. By February she was in London, seated across from a Western allied intelligence service, notebook open, pen moving. She used to work for Stephen Miller. The White House says she does not share operational details with him. I am told this is technically accurate in the way that most technically accurate statements are technically accurate. The polygraphs are still running. Just not for my people. We administer them now to career staff. The questions have changed. We ask whether they've criticized me. Whether they've spoken to a reporter. Whether they've expressed doubt about the direction of the Bureau. The machine measures stress. Under my leadership, stress has been reclassified as disloyalty. Disloyalty as a security risk. A security risk as grounds for termination. Fifty people have traveled this chain. Twelve are suing. The rest stopped asking. I run the building. In February a New York Times reporter named Elizabeth Williamson published details about the protective detail. I opened a preliminary inquiry. Federal stalking charges. We searched our databases for her information. The Department of Justice reviewed the file, found no legal basis, and terminated the inquiry. Called it retaliation. The Times' executive editor called it "a blatant violation of Elizabeth's First Amendment rights." I do not retaliate. I respond to threats. A journalist publishing accurate reporting about my personal use of public resources is, by my definition, a threat to operational security. My definitions are the ones that govern inside this building. I wrote the organizational chart. There is a framed copy on my wall. It has one name at the top. The Atlantic published a separate story. Excessive drinking. Frequent absences. Staff forcing entry into my home because I could not be reached. I filed a two-hundred-and-fifty-million-dollar defamation lawsuit. At my budget hearing, Senator Van Hollen cited the allegations under oath. I told him the only person slinging margaritas on the taxpayer dollar was him — in El Salvador, with a convicted gang-banging rapist. Fox News subsequently noted that public records do not support either characterization. But the line worked. That is the difference between evidence and performance. I have always understood which one this building rewards. In 2023, before any of this, I said the following on national television: "Chris Wray doesn't need a government-funded G5 jet to go to vacation. Maybe we ground that plane." I meant every word. We should have grounded his plane. So mine wouldn't invite the comparison. I sell merchandise. "Fight with Kash." T-shirts, hats, a children's book. The profits go to a foundation I started. The brand benefits from my position as Director of the Federal Bureau of Investigation. This is not a conflict of interest. A conflict requires two competing interests. I have one interest. It has never been healthier. I told the Senate that the FBI cannot meet its mission with a five-hundred-million-dollar cut. I requested twelve billion. Two billion more than last year. In the same period I spent a million on my girlfriend's security detail, fifty thousand on a concert suite, flew a sixty-million-dollar aircraft to cover a distance shorter than most commutes, waived background checks for three political appointees with no law enforcement experience, reassigned three hundred counterterrorism agents to check green cards, gutted the unit tracking Iran's assassination program, and opened a federal investigation into a newspaper reporter for the crime of publishing a newspaper. I told Hannity: "We are going to protect not only me and my loved ones but every American that is threatened." I meant the first seven words. The rest was institutional boilerplate. The kind of thing you say when the camera is on and the sentence needs to land somewhere that sounds like it includes other people. I run the building. Now I want to tell you about the water. The week before the concert I went to Pearl Harbor. The USS Arizona. A VIP snorkel. Nine hundred sailors and Marines are entombed in that hull. They have been there since 1941. The oil still leaks. It rises to the surface in small dark rainbows that break apart when you swim through them. The water was warm. Very clear. I could see the outline of the ship's superstructure below me, the geometry of a vessel that sank with its crew inside, and I remember the water temperature was perfect and the sun was on my back and my detail was on the shore and nobody in the water asked me to justify my presence above nine hundred dead. Recreational swimming at the Arizona is prohibited. The National Park Service said they were not involved. The Navy could not identify who authorized the outing. The logistics were coordinated by military email. A former government diver spoke to reporters anonymously. He said the access was unusual. He said it raised safety and security concerns. He spoke anonymously, the article noted, "for fear of retribution." A man who dives for the government is afraid to describe, on the record, how I swim. That is the climate. That is the building I run. A nineteen-year veteran stopped asking. Fifty career officials stopped working here. Three hundred counterterrorism agents stopped tracking the people who want to kill Americans. Six prosecutors stopped prosecuting. A government diver stopped talking. A reporter found her name in a database. And the oil keeps leaking from the Arizona, eighty-four years after the hull settled, surfacing in thin iridescent films that nobody is assigned to monitor because I reassigned them. I have never been an FBI agent. I have never conducted a federal investigation. I have never built a case or flipped a witness or spent a night in a surveillance van waiting for someone dangerous to make a mistake. But I have flown a sixty-million-dollar jet to a George Strait concert. I have watched the show from a suite that cost more than most Americans earn in a year. I have swum above nine hundred dead sailors in water so clear I could see their ship. And I have ensured, through the systematic removal of everyone who might object, that no one in the building will tell you any of this is wrong. The oil surfaces. It always surfaces. It has for eighty-four years. I run the building. The building doesn't ask questions anymore.

# Decision Points for Embedding AI Agents in Enterprise Systems # Synchronous vs Asynchronous 🎯 The Hook Is your agent making users stare at a loading spinner, or are they getting notified when the work is done? This choice directly shapes the user experience, the architecture, and the scalability ceiling. A quick chat response and a multi-SaaS cross-platform analysis require fundamentally different execution models. Choose wrong and you get either timeout hell or a chatbot that takes minutes to answer a simple question 🔑 📋 Overview Synchronous execution fits cases where the back-and-forth conversation itself is the source of value. Response time is expected to be under 5 seconds, and real-time interaction is critical — think Slack chatbots, Zendesk live chat, or in-app copilots. Streaming output (token-by-token display) can further smooth the perceived latency. Asynchronous execution fits cases where processing takes tens of seconds to minutes: cross-SaaS investigations, large-scale data aggregation, full-sprint Jira report generation, and similar heavy workloads. These belong in a job queue, with completion notifications sent via Slack or email. Event-driven agents triggered by webhooks or CDC naturally fall into the async category as well 📊 🔍 Decision Points The decision rests on two axes: expected processing time and whether the user is actively waiting. Under 5 seconds → Synchronous is fine Over 10 seconds → Consider asynchronous 5-10 seconds → Evaluate whether streaming can sustain a synchronous feel An additional factor is whether conversational round-trips create value. If the user needs to ask follow-up questions, clarify, or iterate, synchronous is the right choice. For batch processing or scheduled reports, the user is not at the screen — async is the only sensible option. When concurrent request spikes reach thousands, a job queue with backpressure control makes async the safe choice ⚡ 💡 Key Details Hybrid configurations are the most common in production: Sync-start with async escalation: Begin responding synchronously, and if processing exceeds 10 seconds, tell the user "processing in the background" and hand off to a job queue. Notify via Slack or email on completion. Streaming with progress indicators: Stream output synchronously while executing tool calls in parallel behind the scenes. Displaying intermediate results reduces perceived wait time significantly. Consider ServiceNow incident response as a concrete example: first-response answers are returned via synchronous chat immediately, while root cause analysis and cross-incident investigation run as async jobs. Recovery requirements also drive this decision. If you need checkpoint-based resumption after mid-process failures, async with a durable queue is non-negotiable 🔄 ⚖️ Trade-offs Making everything synchronous leads to frequent timeouts. API Gateway 30-second limits get hit, users stare at blank screens, and connection pool exhaustion can bring down the entire system 😩 Making everything asynchronous degrades the chat experience. Routing a simple question through a job queue adds unnecessary latency — nobody wants to wait 3 minutes for a Slack notification answering "what's the status of ticket X." Missing completion notifications is another overlooked trap. If async jobs complete silently, users never come back for the results. The system is perceived as unreliable, and adoption collapses ⚠️ 🛠️ Use Cases Slack chatbot: Knowledge search and FAQ answers run synchronously (under 5 seconds, streamed output). Report generation and data analysis requests run asynchronously (job queue, thread notification on completion). Ideally, the same bot automatically switches based on estimated processing time 📚 Salesforce opportunity analysis: A single opportunity summary is rendered synchronously in the side panel. A quarterly cross-opportunity analysis runs as a background job and updates the dashboard on completion 🛒 CI/CD pipeline integration: Pull request diff summaries are posted as synchronous comments. Full-codebase security scans run as async jobs, with results filed as Jira tickets 🔧 Practical tip: Always set a timeout on synchronous endpoints with an automatic fallback to async. "It will probably finish in 5 seconds" is never a reliable assumption 💪 #AIAgents# #EnterpriseArchitecture#

> be Moonshot > 300 employees, avg age <30 > no departments, no titles, no KPIs > so many former CEOs and founders > 80% of company are introverts > everyone keeps slippers under desk > no bureaucratic culture > some mornings you walk in not knowing what to do > no one tells you if you’re doing well > doesn’t care about job background, care about “taste” > “if you ranked AI companies by employees who play instruments, kimi wins”

Tim Cook had the unenviable job of following Steve Jobs. Now John Ternus has to follow Cook, and he’s taking over an Apple that looks very different from the one Cook inherited. @EquityPod asks what Ternus’ product background could mean for Apple, and how he’ll balance hardware, services, and the company’s push into AI.

Practices for embedding AI agents into enterprise systems [Async Job + Load Control] 💡 "Everything real-time" is a path to collapse. Turning long-running tasks into background jobs with priority queues gives you an agent platform that survives traffic spikes. 🔥 Problems solved - HTTP timeouts on agent tasks running tens of seconds to minutes - Spike traffic degrades latency for all users, causing cascading failures - Low-priority batch work starves real-time conversations of resources - Uncontrolled LLM call costs during traffic surges 🏗️ Proposed pattern Return a job ID immediately upon request and enqueue the task to a background queue. Stream progress via SSE/WebSocket and deliver results through webhooks or Slack callbacks. Use priority queues to ensure real-time conversations always come first while background analytics are deferred. Separate "online intelligence" (lightweight models for instant responses) from "offline batch intelligence" (heavy models running overnight), then let daytime agents reference precomputed results for instant answers. ✅ Selection criteria - Use when: Tasks exceed tens of seconds, high-volume parallel processing, spike-prone multi-tenant environments - Skip when: Conversational interactions completing in seconds (job overhead hurts UX) ⚠️ Pitfalls - Without a Dead Letter Queue, failed jobs silently disappear - Stale offline batch results can lead to wrong decisions if freshness is not managed - Missing per-tenant quotas let one runaway tenant degrade the entire platform 🛠️ Implementation Approach 1. Set up a message queue (SQS / RabbitMQ / Kafka) to accept jobs and return a job ID immediately via API 2. Use a workflow engine (Temporal / AWS Step Functions) to centralize job progress tracking, retries, and DLQ handling 3. Implement priority queues to separate real-time conversations from background work, with per-tenant quotas (Token Bucket / Sliding Window) 4. Stream progress updates via SSE/WebSocket and deliver results through webhooks or Slack callbacks on completion 5. Run heavy analytics overnight via batch pipelines (Airflow, etc.) using large models, storing results in Redis/DynamoDB for instant retrieval by daytime online agents #AIAgents# #EnterpriseArchitecture#