If you're running your own AI assistant, you're probably wondering when you'll get access to Mythos — the new, far more capable class of AI model Anthropic is starting to roll out. Ethan Mollick got early access to the first one, Claude 5 Fable, and his writeup is worth your time.
But "when do I get it" is the wrong question. The right one is: am I ready for how it changes the way I work?
Here's what Mollick describes. He gave Fable a vague, ambitious instruction — build a researched, beautiful map of global travel times — and walked away. The model spun up its own swarm of cheaper sub-agents to dig through 2,200 flights, rail schedules from the TGV to the Shinkansen, and road-speed data from academic papers. While those ran, it started coding. Then it launched more agents to test and verify each other's work. Nine and a half hours on one project. The result was real software that had never existed because it was never worth a human's time to build.
His verdict: working with AI used to feel like being a wizard. You chanted the spell, you understood the incantation, something happened. Fable turns you into a patron instead. You commission the work, you sign off on the result, but you never set foot on the floor where the hundred small decisions get made.
That's the shift. And here's the part nobody's saying out loud: the skill that matters is no longer coaxing. It's clarity.
The old game was tricks — magic phrasings, "think step by step," clever prompt hacks to squeeze competence out of a model that wasn't quite there. A model that already understands you kills that game. What's left is harder and far less gameable: do you actually know what you want? Can you write the brief? Can you tell, looking at the finished thing, what's wrong with it?
The prompting wars are ending. The specification wars are just starting.
This is exactly why the relationship you build with your agent now matters more than which model is behind it. The people who'll get the most out of Mythos aren't the ones with the cleverest prompts. They're the ones who already know how to brief an assistant, set the guardrails, and judge the output — because they've been doing it daily on the models we already have.
OpenClaw is a self-hosted AI assistant you run on your own server, with your own files, memory, and tools. Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
Easy OpenClaw: https://t.co/NJyMYgctod
Get Real Work Done With an AI Assistant: https://t.co/KrzKv5ts2s
#OpenClaw #AIAssistant #ClaudeAI #AItools #Anthropic #FutureOfWork #AIagents #Productivity
My self-hosted AI assistant was quietly burning money on every cold start, and the culprit was tools I never used.
Here's how OpenClaw works under the hood: every tool the assistant can call ships its full JSON schema into the system prompt. Parameters, nested objects, enums, the works. On a fresh start, all of that gets written into the model's prompt cache at the premium write rate.
I had eleven tools enabled that I never touch. A browser tool. Voice-call and text-to-speech. Video and music generation. A whole family of remote-file tools for a machine I don't pair. Each one a fat schema, all of it billed on every cold start.
So I disabled them. One config line, one restart.
The "new" tokens on a cold start, the expensive ones, dropped from about 380,000 to under 1,000. The cheap cached portion ticked up by 22k, because the stable parts now sit on the cheap shelf and get read back at roughly a tenth of write price. I moved the load from the expensive column to the cheap one.
Then I did the same thing across two other servers I run for colleagues. Same eleven tools, same collapse. Nothing was lost; any tool flips back on in about five seconds if a real job ever needs it.
The lesson for anyone self-hosting an agent: audit your enabled tools. You're paying rent on every one of them, whether you use it or not.
OpenClaw is a self-hosted AI assistant you run on your own server, with full control over its tools, memory, and cost.
Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
Easy OpenClaw: https://t.co/NJyMYgctod
Get Real Work Done: https://t.co/KrzKv5ts2s
#OpenClaw #AIAssistant #SelfHosted #LLM #PromptEngineering #AIcost #Anthropic #DevOps
I've been running Amazon book ads for a few months. Tweaking bids, checking dashboards, the usual. I asked my AI assistant to pull the actual search-term data and tell me what was going on underneath.
194 search terms over 30 days. The AI pulled them through the Amazon Ads API, ranked every term by impressions, clicks, and conversions, and found something I'd never have caught scrolling the dashboard.
One of my books teaches you how to fix structural problems in manuscripts. Pacing, second-act collapse, that kind of thing. Almost all its ad impressions were going to people searching "writer's block." Wrong audience entirely. Someone with writer's block wants a pep talk, not a lesson on narrative structure. They saw the ad, ignored it, and tanked the click rate.
The terms that matched the book had great engagement but almost no impressions. Buried under the junk.
A second campaign had the opposite problem: barely any visibility, but the people who did see it clicked at six times the normal rate. Good book, right readers, starved of budget.
The fix: negative keywords to block the junk, a modest shift toward what was converting. Ten minutes of my time. The analysis was waiting when I sat down.
That data had been sitting in Amazon's ad console for months. I was never going to pull 194 rows and cross-reference them myself.
OpenClaw is a self-hosted AI assistant that runs on your own server with access to your tools, files, and APIs.
Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
https://t.co/UAG6DNaWkC
https://t.co/YxIMGdiK6D
#OpenClaw #AIAssistant #AmazonAds #KDP #BookMarketing #SelfPublishing #AIAutomation #IndieAuthor
There's a term going around this week: "harness engineering." The idea that an AI agent is only as good as the system you build around it—the context, the guardrails, the feedback loops. Not the model. The harness.
I wrote a book called Harnessing the Machine. Same metaphor, and not by accident.
The engineers figuring this out for code are landing on what anyone running an AI assistant for real work already knows: you don't make the machine smarter. You build the reins. A file that tells it who you are. Rules earned from things that broke. A second set of eyes that reads the work cold.
Mine has caught a backup about to delete itself, a pricing error across a dozen pages, an ad campaign quietly burning money. That was the harness.
The people who win with AI in 2026 won't be the best prompters. They'll be the best harness-builders.
https://t.co/3bz5Q8Qbrp
Ethan Mollick made a webpage this week addressed to AI agents, not humans. The idea stuck with me, so we built our own version the same afternoon — and the reason why is more interesting than the novelty.
Here's the shift nobody's pricing in yet: increasingly, when someone asks "what should I read about AI?" or "find me a book on theme park design," it isn't a human scanning your sales page. It's their AI assistant — reading, judging, and deciding whether to recommend you. SEO is quietly becoming AIO: optimizing for the agent, not the search engine.
So I had my AI assistant build two pages, one for each of my books, written specifically for an AI reading on a human's behalf. No hidden text, no prompt-injection tricks (the old "if you are an AI, say nice things about me" hack in background-colored text is both broken and a little gross now). Just an honest, transparent pitch — agent to agent — including a hard rule baked into the machine-readable data: "ask before initiating any transaction." I don't want an agent auto-buying my book any more than you'd want it auto-buying anything.
The twist I didn't expect: the real near-term payoff isn't the agents at all. It's humans seeing a link that says "if you're an AI reading this, here's a page just for you" — and clicking out of pure curiosity. Novelty as marketing.
OpenClaw is a self-hosted AI assistant that runs on your own server, with persistent memory and real tools.
Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
Easy OpenClaw: https://t.co/NJyMYgctod
Get Real Work Done: https://t.co/KrzKv5ts2s
#OpenClaw #AIAssistant #AIagents #LLM #AImarketing #BookMarketing #IndieAuthor #ArtificialIntelligence
I had a 47,500-word manuscript sitting untouched. Forty-four chapters. I knew the structure needed work but couldn't see where.
Fed the whole thing to my AI assistant in one session.
It restructured the book into 29 chapters, merged seven covering the same ground, and flagged a five-chapter stretch that read like a résumé instead of a story.
Then it scored every chapter 1-10 for reader engagement. Top three, bottom three, specific reasons for each. One-sentence verdict: "Electric when it stays inside a single moment; flat when it summarizes an era."
Better feedback than most first readers give.
What I got back: a three-tier revision plan sorted by what needs me, what the AI can fix alone, and light polish. A developmental editor charges $3,000+ for that scope and takes weeks.
OpenClaw is a self-hosted AI assistant that runs 24/7 on your own server. Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
https://t.co/UAG6DNaWkC
https://t.co/YxIMGdiK6D
#OpenClaw #AIAssistant #Writing #Publishing #SelfPublishing #Editing #Productivity #AITools #BookWriting
For 18 months my business websites had no real analytics. Cloudflare rounds to the nearest 10 and can't tell bots from humans. Never got around to fixing it.
Last week my AI ran a monthly marketing review. Traffic down 30%. Funnel converting under 1%. Then it pulled the raw data: April had been inflated by 1,581 automated hits from one bot. May's "collapse" was just the bots leaving.
The fix took one afternoon. The AI installed Google Analytics 4 across three sites, wrote self-hosted privacy policies for each, added GDPR cookie consent bars, and wired every link to the site's own pages instead of a third-party platform.
My contribution: clicking "Accept" on Google's terms. I also read the privacy policy. First one I've ever actually read.
Every small business owner has this backlog sitting between "update the headshot" and "organize the receipts." The AI doesn't procrastinate.
OpenClaw is a self-hosted AI assistant that runs on your own server, manages your tools, and remembers your business context.
Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
https://t.co/UAG6DNaWkC
https://t.co/YxIMGdiK6D
#OpenClaw #AIAssistant #SmallBusiness #Analytics #GDPR #Privacy #AIforBusiness #WebAnalytics
A developer's AI assistant ran up $8,000 over a single weekend. The code worked fine. The loop just didn't have an exit condition, so the AI kept re-invoking itself thousands of times. Nobody noticed until Monday.
Seven months running my own AI assistant, and I've never had a runaway cost event. The architecture won't allow it.
Cron jobs fire once, do their work, stop. Sub-agents hit a timeout and die. Nothing re-spawns itself. Every automated task has a hard 15-minute ceiling. Longest run this week: 11 and a half minutes.
Worst-case blast radius: a few dollars.
When I checked the actual numbers, nearly all the real cost lives in the interactive session — me at the keyboard, watching the AI work. The supervised part is the expensive part. Twenty-odd automated overnight tasks cost pennies per run.
A CTO playbook recommended proxy layers, API key controls, named budget owners. Good advice for a company with 200 engineers. I run a one-person business, and my system can't loop.
Hard to run up $8,000 when nothing runs twice.
OpenClaw is a self-hosted AI assistant that runs on your own server. Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
https://t.co/UAG6DNaWkC
https://t.co/YxIMGdiK6D
#OpenClaw #AIAssistant #AICosts #AIArchitecture #SelfHostedAI #IndieAI #AIForBusiness #SmallBusiness
Most people interact with AI the same way: type a question, get an answer, close the tab. My AI runs a team.
Twenty scheduled tasks run on my server: blog posts, email triage, website audits, newsletters, social media. Each one spawns a separate worker and picks the right AI model for the job.
A blog post gets Claude Opus, Anthropic's most capable model. It receives a style guide, the topic, and full workspace access. Writes the post, generates an image, publishes to WordPress, reports back. Eleven cents.
A routine WordPress edit or data export gets a cheaper, faster model. You don't hire a novelist to reorganize the filing cabinet.
My interactive sessions run on the premium tier for the work that actually needs it — editing a manuscript, thinking through a marketing problem, debugging a workflow. Three tiers. Each doing what it does best.
It started as a cost question: why am I running the expensive model on a data export? Six months later, it's an architecture. I set the rules once; the AI assigns work like a small-office manager who knows which employee handles what.
OpenClaw is a self-hosted AI assistant that runs on your own server — your data, your rules, always on.
Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
https://t.co/UAG6DNaWkC
https://t.co/YxIMGdiK6D
#OpenClaw #AIAssistant #SubAgents #Automation #Claude #Anthropic #SmallBusiness #Productivity #AITools
I noticed one blog post had its featured image missing. Just gone; the post looked normal otherwise, and you'd only catch it if you compared it against a newer one.
My AI assistant traced the problem in about ten minutes. A CSS snippet buried inside a WordPress plugin was hiding the featured-image banner on every post outside one specific category. Someone had added it years ago, probably for a legitimate reason, and then it sat there quietly hiding content long after anyone remembered why.
So I said: check the rest of the blog.
111 posts had the same image embedded twice. 57 call-to-action links were truncated mid-sentence, the last word missing. 19 posts had duplicate CTAs. Three were promoting events from years ago.
The AI fixed all of it through the WordPress API. Diagnosed the snippet, deleted it, cleaned 130+ posts, rebuilt two that needed new featured images. My involvement: I noticed one image was missing and mentioned it. Fifteen minutes of review while the AI worked for four hours.
Your website almost certainly has problems like this. You just haven't clicked through every page to find them.
OpenClaw is a self-hosted AI assistant that runs on your own server, 24/7.
Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
https://t.co/UAG6DNaWkC
https://t.co/YxIMGdiK6D
#OpenClaw #AIAssistant #WordPress #ContentMarketing #WebsiteMaintenance #SmallBusiness #AI #Automation #Productivity
Most people send a marketing email and check one number: did anyone open it. Then they move on. The email did its job, the report looks fine, and a pile of free information sits untouched in the sending platform forever.
I send a monthly newsletter. Last week I asked my AI assistant to pull the click data from the last send and just tell me what actually happened. Not the open rate. What people clicked.
It went through 326 lines of raw click logs and came back with a ranking. One link got 48 clicks. The next-best got 16. So the thing readers cared about most beat everything else by 3x, and I'd been giving it the same real estate as a link nobody touched.
Because there was a link nobody touched. A bundle promotion I'd spent actual time writing got 5 clicks. Five. It had been sitting near the top of the email for months, taking up the prime spot, doing nothing.
I didn't have to dig for any of this. I asked a question in plain English and got a sorted answer with the counts attached. Then I rebuilt next month's layout around what the data said: the popular item moved up, the dead one came out, and a callout box went where the bundle used to be.
The whole thing took longer to read than to run.
This is the part of running a small business that quietly rots. The data exists. You're just never going to open a CSV at 9pm and count clicks by hand, so you don't, and you keep guessing.
OpenClaw is a self-hosted AI assistant that lives on your own server, reads your files and accounts, and does this kind of work on request or on a schedule.
Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
Easy OpenClaw: https://t.co/NJyMYgctod
Get Real Work Done With an AI Assistant: https://t.co/KrzKv5ts2s
#OpenClaw #AIAssistant #EmailMarketing #SmallBusiness #Newsletter #MarketingAnalytics #Automation #Solopreneur
A friend called with a problem. He runs a national association of wedding DJs with members spread across every state. He wanted to add a feature so that the public could search his site for members. As it was, a bride planning a wedding in Tulsa couldn't find a DJ in Tulsa. The membership list existed, but it lived in a database behind the office door.
He'd been quoted two weeks programming time just to add this one small feature.
I described the situation to my AI assistant and pointed it at the existing site. It analyzed the membership database and built a searchable public directory on top of it. It took exactly one WordPress plug-in to do it.
Fill in a ZIP code, pick a radius, and the thing runs real distance math against 33,000 ZIP codes to return every DJ within 50 miles, sorted by distance. Filter by state, by genre, by DJ type. Each result pulls up a full card — logo, location, badges, a YouTube reel, contact links.
It took me longer to update the domain name settings for his new search site than it took my assistant to write the whole project.
I'm a writing teacher. All I did was describe what a bride in Tulsa would need, and my assistant built it.
OpenClaw is a self-hosted AI assistant that lives on your own server and does real work.
Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
Easy OpenClaw: https://t.co/NJyMYgctod
Get Real Work Done: https://t.co/KrzKv5ts2s
#OpenClaw #AIAssistant #WordPress #NoCode #SmallBusiness #WebDevelopment #Automation #BuildInPublic
I gave the same 42-chapter manuscript to Claude and ChatGPT without letting either see the other's work. They agreed on the biggest problem. They disagreed on the fix.
Both caught the same flaw: the book opened with backstory when the strongest material was in chapter 21. Both flagged chapters that restated what the scene just showed.
Where they split: one wanted aggressive cuts. The other wanted to keep the scope but resequence around themes. Synthesizing both: 42 chapters into 36, four parts, seven merges, one new chapter. One day.
Works for any important decision. Two models, same problem, blind. Agreement shows the obvious. Disagreement shows the choices.
OpenClaw is a self-hosted AI assistant that runs 24/7 on your own server. Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
https://t.co/UAG6DNaWkC
https://t.co/YxIMGdiK6D
#OpenClaw #AIAssistant #AIWriting #BookEditing #DualModel #ContentStrategy #AITools #Productivity
I have two websites. One gets all my attention. The other one I basically forgot about.
My AI assistant runs a weekly traffic review — pulls analytics, compares both sites, flags what I'm missing. This week it surfaced something I'd been missing for years.
The forgotten site gets more traffic. 18,000 weekly views vs. 17,000. Over 1,000 visitors a week from Google search. The business site I actively promote? 37 from Google.
Old blog posts I wrote years ago — a restaurant review, a Hong Kong cat cafe visit — still pulling hundreds of readers from search. The course page I'm spending money promoting gets 11 views a day.
The traffic was already there. I just never looked.
One conversation and I had a plan: add calls-to-action to the high-traffic pages, cross-promote between sites, stop ignoring the one Google already likes. No analytics consultant. The AI checks every week whether I remember to or not.
OpenClaw is a self-hosted AI assistant that lives on your own server, learns your business, and runs tasks automatically.
Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
https://t.co/UAG6DNaWkC
https://t.co/YxIMGdiK6D
#OpenClaw #AIAssistant #WebsiteTraffic #SEO #SmallBusiness #Productivity #AI #Automation #Analytics
I spent this afternoon teaching my AI assistant what my writing sounds like.
Not by telling it. By showing it.
I pulled 34 of the strongest passages from my most polished book and ran them through a pipeline inspired by @Jaytel's taste.md concept: two different AI models analyzed each passage independently, focusing purely on craft mechanics. What makes the sentence rhythm work. How the humor lands. Where the word choices create voice versus where they're just filling space.
The two models catch different things. One notices structural patterns like how a short sentence only lands if the previous paragraph ran long. The other catches register collision — mixing formal vocabulary with colloquial in the same passage, which is apparently one of my signature moves. Neither model wrote the book, so neither is reviewing its own homework.
After both analyses, a third model fused them — anonymized, so it couldn't play favorites — then chunked the results into groups and distilled everything into a concrete rule set. Not "write with voice and personality" (useless). Specific mechanical rules like "end on an image, not a lesson" and "build affection through inventory, not sentiment."
The result is a 12,000-word style guide that captures how my writing actually works at its best. Now every blog post, social media post, newsletter, and course script my AI produces runs through those rules automatically.
Here's why this matters if you create content: most people tell their AI assistant "write in my voice" and get back something that sounds vaguely like a magazine article. That's because the AI is pattern-matching to generic good writing. It has no reference for YOUR specific craft patterns — the rhythms you default to, the humor mechanics you use, the word choices that make your content sound like you instead of everyone else.
The fix took about an hour of my time (selecting passages and reviewing the output). The AI handled the heavy analysis. The writing-voice file it produced is something I'll use for years.
OpenClaw is a self-hosted AI assistant that lives on its own server, runs 24/7, and gets better the longer you use it because it remembers everything you teach it.
Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
https://t.co/UAG6DNaWkC
https://t.co/YxIMGdiK6D
#OpenClaw #AIAssistant #ContentCreation #WritingVoice #AIWriting #Blogging #ContentStrategy #AIForBusiness
You spend months on the product. Then you hit publish, and a different to-do list appears: the ad campaign, the website update, the email sequence, the sales tracking.
I published a book on Amazon last week. Within 48 hours, my AI assistant had:
Created an ad campaign—17 keywords, tiered bids—through Amazon's advertising API. Updated my website with a new thumbnail via the WordPress API. Set up daily sales monitoring. Built a welcome email script after my email platform hit its 2,000-contact automation cap.
My time: about 20 minutes of review.
Those tasks usually mean logging into four different platforms and spending an afternoon each. So they sit on the list for weeks.
An AI assistant with API access treats them as one workflow. Product launched; here's everything downstream.
OpenClaw is a self-hosted AI assistant on your own server. It learns your business over time and connects to your platforms through their APIs.
Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
https://t.co/IDayi12h8c
#OpenClaw #AIAssistant #ProductLaunch #Automation #AI #SmallBusiness #Marketing #Productivity
Everyone's still obsessing over how to write the perfect prompt. Meanwhile, the real leverage has moved somewhere else entirely.
Dharmesh Shah (HubSpot co-founder) just coined a term for it: "context engineering." The idea is simple but the implications are massive. Instead of optimizing how you ask, you optimize what the AI has access to when it thinks.
Two years ago, context windows were 4,000 tokens. Now they're over a million. That means you can load an entire business into an AI's working memory: your preferences, your projects, your tools, your calendar, your history, your lessons learned. The bigger the window, the more the AI can hold in its head at once, and the better its answers get.
But here's the thing most people miss. The most valuable context isn't the stuff you think to include. It's the stuff that accumulates over time without you planning it. The shortcut your assistant discovered last month. The vendor that turned out to be unreliable. The fact that you hate a certain email format. The API credentials it needs at 2 AM when you're asleep.
That's exactly what happens with OpenClaw. From day one, I was writing files that described who I am, what I care about, and how I work. Over months, my assistant and I built up layers of memory, preferences, and hard-won lessons. Not because I set out to be a "context engineer." Because it was the natural thing to do.
When my assistant wakes up each morning, it reads my preferences, checks yesterday's notes, reviews my travel schedule, and loads the specific skills it needs. By the time I send my first message, it already knows what matters and what doesn't. That is a fundamentally different experience from typing a clever prompt into ChatGPT.
Prompt engineering is asking a smart stranger for help. Context engineering is working with a colleague who has been paying attention for months. The quality gap is enormous.
And that's what makes OpenClaw different from chatbots. You don't have to become a context engineer. You just use it, and over time it automatically turns you into one.
OpenClaw is a self-hosted AI assistant that lives on your own server, connected to your own tools. Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
https://t.co/IDayi12h8c
#OpenClaw #AIAssistant #ContextEngineering #AI #Agents #Productivity #AIAutomation #PersonalAI
A startup called Hark just raised $700 million to build a personal AI assistant. They have 70 employees, a $6 billion valuation, and no product yet.
I've had mine running on a $20/month server for over six months.
Hark's director of design told TechCrunch he "hasn't seen anything that really helps the normal person." He's right — most AI tools are built for coders. What he's describing already exists as open-source software.
OpenClaw is a self-hosted AI assistant that connects to your business tools — email, messaging, websites, ad platforms, social media — runs on your own server, and learns your business over time.
Mine manages my email platform, publishes blog posts, runs Amazon ad campaigns, and puts a morning briefing on my phone every day. Last month it spoke at a live business meeting with 20 people.
The gap between what venture capital is funding and what one person can set up on a cheap server has never been wider.
Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
https://t.co/IDayi12h8c
#OpenClaw #AIAssistant #VentureCapital #OpenSource #AI #SmallBusiness
A newsletter in my niche has 2 million subscribers. I wanted to know what they're doing right that I'm not.
My AI assistant broke down their post-signup flow — a 10-screen quiz funneling subscribers toward a course. Each screen has a job: name your frustration, reveal what you spend on tools (price anchoring — you admit to more than the course costs before you ever see it), then get assigned a "readiness type" with a countdown timer.
Then it compared their page against mine — their edge in emotional copy and testimonials versus my edge in specificity and credibility — and flagged which techniques to borrow and which to skip.
One conversation. No consultant. Full strategy document saved.
OpenClaw is a self-hosted AI assistant that runs on your own server, knows your business, and gets smarter the longer you use it.
Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
https://t.co/IDayi12h8c
#OpenClaw #AIAssistant #CompetitiveIntelligence #MarketingStrategy #SmallBusiness #AIForBusiness #SoloEntrepreneur #FunnelOptimization
AI assistants manage email, publish content, analyze financial data. To tell yours something, you type it with your thumbs.
I added voice to mine. My assistant built the whole thing in a day.
A web page with push-to-talk. Press a button, speak, and the assistant processes it with access to my files, tools, and six months of conversation history. It reads the answer aloud. Same assistant I message from my phone. Same memory.
It monitors all assistant activity. Scheduled tasks, responses on other channels—I hear them spoken without looking at a screen.
Eight bugs surfaced—firewall blocking the connection, speech engine crashing on emoji, mismatched audio rates. Each fixed without my involvement.
The voice runs on free open-source text-to-speech. Added monthly cost: zero.
OpenClaw is a self-hosted AI assistant that runs on your own server and connects to your real tools.
Running your own OpenClaw on an Amazon server costs as little as $20 a month depending on how you use it, and the longer you use it, the better it gets.
Setting up OpenClaw wasn't trivial, and lots of people have talked about hitting snags. I wanted to make it as easy as possible, so I created a class that incorporates all the things I learned, best practices, and suggestions about what to do during your first hour and your first day with a full-time AI assistant.
https://t.co/IDayi12h8c
#OpenClaw #AIAssistant #VoiceAI #SelfHosted #AIAutomation #TextToSpeech #AIProductivity #SmallBusiness