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47 contributions to AI Automation Society
Fable is Back: What do we need to know (and WHEN to actually use it?)
We've all heard the name for weeks, so here's a quick guide on what it is and (more importantly) when to actually use it, so we don't waste money. First things first: What is Fable? (for anyone new to it). Let's imagine Anthropic's AIs like a "family of brains". The regulars are Opus, Sonnet and Haiku. Fable is the new, smartest one, the first of a new generation (the Mythos family), able to do things no other model could. Basically, it's the strongest Claude we can get. It disappeared for 3 weeks: - June 9: Fable launches, everyone's talking about it. - June 12: Amazon researchers find a trick that makes Fable point out software weaknesses (and once even write code to break in). The U.S. government blocks it, and since Anthropic can't check everyone's nationality fast enough, they switch it off for everybody. - Late June: they negotiate a deal with the government. - July 1 (today): Fable comes back on, worldwide. (By the way: other AI's like Opus 4.8, GPT-5.5 and China's Kimi K2.7 could all do the same thing that the Amazon researchers found. So it wasn't some unique "super weapon". Just a simple jailbreak that worked in other models, and those other models were powerful enough to point out those weaknesses too.) Now, the important part of this...WHEN do we use Fable instead of Opus? Is it really that powerful? Let's use an analogy. Think of a race. Opus is a great sprinter. Fable is a marathon runner that checks its own work as it goes. Fable's edge is long, hard jobs that run on their own. Anthropic's own words: "the longer and more complex the task, the larger Fable's lead." So the best option to use Fable is when the task: - takes hours or days, not minutes - has many steps and we don't want to babysit, supervise or check each one - needs to hold a LOT at once (a big codebase, a pile of documents... up to 1,000,000 tokens) - should check its own work and keep going until it's done - is genuinely hard (senior-level reasoning, a big migration, deep research)
Made My First Website W/ CC!
Made my first website w/ Claude Code and it literally took like 2 hours! Plus it didn't use all my tokens and I'm only on the $20/mo plan - I was using some tactics from Ruben Hassid to get more tokens. I think it looks pretty good for the first time and it can still be tweaked and improved on!
Made My First Website W/ CC!
0 likes โ€ข 6d
Looks amazing and very professional @Jack Pryce Huge congrats ๐Ÿ‘Š๐Ÿป๐Ÿ‘Š๐Ÿป
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17d โ€ขย 
Announcements๐Ÿ“ข
โš ๏ธHEADS UP: my X (Twitter) account has been hacked
Whoever has it is posting a crypto scam. That is not me. I would never promote anything like that. Do not click any links, send any money, or engage with anything posted from my account right now. I'm working on getting it back. Will let you know when it's secured. Thanks for looking out.
1 like โ€ข 16d
omg Nate! hope it gets solved soon! thanks for warning ๐Ÿ™
Cold Calling is BRUTAL
Iโ€™ve been cold calling for about 2 months for my agency. It has been hard, especially with no guidance, my business partner and I both agree that sometimes it feels like weโ€™re moving in the wrong direction with it, and instead of becoming better, we actually get worse. Weโ€™re not giving up this business, weโ€™re going all in. But cold calling has just been brutal. Iโ€™m also worried if our voice in the call has a negative impact, we sell an ai receptionist rebranded as a โ€˜virtual front officeโ€™ but weโ€™re both 17 so Iโ€™m worried they also donโ€™t see us as serious because of our voices. Does anyone have any tips on how to get started, or how to find a good mentor?
2 likes โ€ข May 22
Hey @Ryler Heyman , huge respect for you guys for not quitting, that's the mindset. Really is not a matter of doing good or bad yet, the cold outreach needs massive volume to work (in my experience so far). A few things that might reframe this for you: - The numbers are brutal for everyone, - On volume: I run AI calling systems and agents for clients, and from my experience I can say you realistically need at least 1,100+ call attempts per day to get 20โ€“30 actual conversations going, which might convert to 1โ€“3 genuinely interested leads. From there you close ( It's a funnel, not a pitch) - From my experience and what I've seen, for example in call centers, live sales agents close around 1.5% of dials, so 1,000 calls gets you roughly 15 closed deals on a good day for a physical product. American call centers average 3%. - Cold outreach has become a pure volume game, both for email and calling. You're not doing it wrong, the channel is just unforgiving. It's all about reps and (a lot of) volume. - Honestly, your voice isn't the problem don't look it that way, teally, believe me. Its about volume, script, timing. - Also selling "AI" to a business owner triggers instant skepticism. But selling outcomes is a different conversation entirely. I'd recommend to stop selling the agent but sell the outcome. Start selling: - Speed to lead (first response in under 60 seconds) - Recovered leads from a dead CRM - Booked consultations on autopilot - Re-engaged cold contacts that were going nowhere - etc Businesses nowadays buy results, not technology. That shift alone will change how calls land. Also, for helping you guys I think a framework that would work better is to eliminate friction: don't sell, demonstrate. The move I'd recommend: offer a 30-day free pilot. They pay nothing unless it works. I started this is way. This does two things, it removes the objection entirely, and it gives you real-world experience you can't get any other way. After 30 days of a working demo, and enhancing it day by day, businesses often close themselves.
Apr 10 โ€ขย 
Wins ๐ŸŒŸ
๐Ÿ† Weekly Wins Recap | Apr 4 โ€“ Apr 10
From $200K deals and SaaS traction to AI systems, internal tools, and real client momentum - this week inside AIS+ showed what happens when builders focus on execution over everything. ๐Ÿš€ Standout Wins of the Week inside AIS+ ๐Ÿ‘‰ @Wyatt Mayham closed a $200K/year AI deal and shared the exact structure behind scaling high-ticket engagements. ๐Ÿ‘‰ @Peter Hawtin turned consistent execution into a multi-industry AI portfolio, unlocking enterprise-level opportunities. ๐Ÿ‘‰ @Narsis Amin built a multi-agent AI executive assistant now running operations across two businesses. ๐Ÿ‘‰ @Tobias Bielke created a legal knowledge base system mapping 62 laws into one powerful searchable tool. ๐Ÿ‘‰ @Jorge Nicolas turned a simple pain point into a product and made 2 sales in under 30 minutes. ๐ŸŽฅ Super Win Spotlight | @Mike AI Consultant Mike joined AIS+ with strong technical skills - but something was missing. Not toolsโ€ฆ but how to connect everything into real business solutions. Since joining, he has: โ€ข Transformed his work from basic demos โ†’ real enterprise systems โ€ข Delivered results that made clients say: โ€œWhat changed? This is next level.โ€ โ€ข Built stronger positioning by focusing on problems, not just tools โ€ข Expanded his network and client base through better execution His biggest shift? From thinking like a builder โ†’ to thinking like an AI architect. Mikeโ€™s journey is proof that the real leverage isnโ€™t in tools - itโ€™s in how you frame, connect, and apply them to solve real problems. ๐ŸŽฅ Watch Mikeโ€™s story ๐Ÿ‘‡ โœจ Want to see wins like this every week? Step inside AI Automation Society Plus and start building assets that compound ๐Ÿš€
๐Ÿ† Weekly Wins Recap | Apr 4 โ€“ Apr 10
1 like โ€ข Apr 16
@Julieta Sandez thanks a lot! let's go! your goals are just some nice working hours away! ๐Ÿ™Œ
1 like โ€ข Apr 16
@Tim West thanks man!!
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@mike-ai
AI Consultant & Specialist Have helped clients cut 500+ hours/year and generate $50k+ in additional revenue. DM me: let's see what AI can do for yours

Active 1h ago
Joined Aug 24, 2025
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