Get your software working together, automatically.
Joined October 2011
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Claude Fable 5 is the new top score on AutomationBench: 17.4%
Best where precision is the whole job: Ops, HR, anything long-running where the model needs to recover, not quit
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
Its capabilities exceed those of any model we’ve ever made generally available.
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Zapier retweeted
Jun 11
For NoPlex, native MCPs weren't enough.
Zapier MCP let them add the actions they needed, even the ones Claude’s native MCPs didn't support.
@NoPlex_AI's Head of Community and Growth, @MatthewCanning, explained:
"As of today, the Google Drive MCP offered by Anthropic allows for:
download_file_content
get_file_metadata
get_file_permissions
list_recent_files
read_file_content
search_files
copy_file
create_file
If I want to do something as simple as append a row to a Google Sheet, I'm unable to do so… @Zapier was a more effective intervention for things like Claude because of the versatility offered."
How it works: Claude connects to Zapier MCP searches for trending topics relevant to the NoPlex community, pulls examples and citations, and delivers the research as Google Docs and Sheets straight to Matt.
That's 4 hours of weekly media triage down to 15 minutes.
Zapier MCP works with Claude, ChatGPT, Codex, and more. Wherever you build.
Try it: zapier.com/mcp
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Most teams are still trying to build faster
@Lovable already solved that
Now Ryan Meadows is working on the next problem: how the operating system keeps up as the team scales from dozens to hundreds
He's been rethinking every feedback loop, every handoff, and every system built for scaling an AI-native company👇
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Watch the full conversation on Agents of Scale:
youtu.be/FeZ93evIfbM
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Zapier retweeted
Jun 10
We gave Claude Fable a broken API. It tried once, then went looking.
Checked connected tools, pieced the data together, and finished the task.
GPT-5.5 on the same task? 22 retries on the same endpoint.
Fable holds the new high score on AutomationBench, @Zapier's benchmark for AI workflows. It's also the new leader in two departments: Operations and HR.
Here's the efficiency math: Fable tokens cost 2x. But at max effort it runs at $3.67/task. In real workflows, that's only 17% more than Opus.
Recovery and efficiency are the new frontier.
Big thanks to for having me on.
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Claude Fable 5 is the new top score on AutomationBench: 17.4%
Best where precision is the whole job: Ops, HR, anything long-running where the model needs to recover, not quit
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
Its capabilities exceed those of any model we’ve ever made generally available.
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Zapier retweeted
Jun 9
anthropics' fable 5 (mythos) is the highest scoring model yet on automationbench. it is better at following complex instructions, is more autonomous, and is more persistent. notably, it'll experiment more rather than stop and ask questions. impressive!
zapier.com/benchmarks
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Fable 5 is state-of-the-art on nearly all tested benchmarks, with exceptional performance in software engineering, knowledge work, scientific research, and vision.
The longer and more complex the task, the larger Fable 5’s lead over our other models.
ALT Benchmark table titled Mythos 5 & Fable 5, comparing Claude Mythos 5 and Fable 5 against Claude Mythos Preview, Claude Opus 4.8, GPT 5.5, and Gemini 3.1 Pro.
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Meek we got you 🤝
Connect Claude to 9,000 apps and it doesn't just teach you things (it does them for you)
zapier.com/mcp
I feel like they can make my claude smarter who can help em do that ... or what is the smartest ai program available to the people? Because the things I am learning in a week would take me 5 years to learn.
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Zapier retweeted
Fable 5 seems better than Opus in every way. Like Opus is to Sonnet. It works smarter rather than harder.
Cost is 2x Opus but cost per task was only 17% more on max reasoning! Fable is much more efficient with tokens than other models. ~1/2 the cost of GPT 5.5 xhigh.
Jun 9
Claude Fable is here: the first model in their new Mythos series.
It's the new top score on @Zapier's AutomationBench at 17.4%, just two weeks after Opus 4.8 set the record at 15.5%.
Our AutomationBench measures what enterprises actually care about: can a model do the work? Find the right CRM record, send the right follow-up, update the right system without breaking anything?
We tested 600 tasks across 6 domains. Here’s what we saw:
Fable knows when to work smarter instead of harder. That means fewer timeouts and fewer wasted tokens in production.
EXAMPLE: One task asked the model to reconcile employee benefits across countries. The HR system's benefit-plans endpoint returned a 404. Fable hit it once, immediately pivoted to the team's spreadsheet and inbox, found the plan data there, and finished the task. Meanwhile, Opus moved on and missed a key detail.
That's the Fable pattern. It follows complex instructions precisely (especially the "leave these ones alone" kind), and when it hits a dead end, it goes looking somewhere else instead of spinning its wheels and wasting tokens.
PRICING: You may have seen that Fable is 2x the price of Opus. But that's the model rate, not the task cost. In Zapier, Fable came in at $3.67 per task at max effort, only 17% more than Opus 4.8 max at $3.14.
tl;dr:
Who should immediately upgrade their workflows from @claudeai's Opus to Fable?
- Operations & HR
- Long Horizon Tasks needing reliability and autonomy
- Any workflows where precision accuracy matter more than cost
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Zapier retweeted
Jun 9
🚨 Anthropic released Claude Fable 5
It's Mythos, but safe.
The BIG question: Is it dependable enough to use apps to grow your business?
@wadefoster's team at @zapier ran it through 600 real-world business uses.
Key results:
1. It stays on track - if you ask it about a specific topic in a specific Slack channel, it won't merge data in from other channels and topics.
2. It's the most resourceful - They told it to get HR data from an API that was down. It quickly switched from using the failed API to searching email & spreadsheets. (GPT 5.5 hit the down API 22 times!)
3. It routes intelligently - They asked it to take leads from multiple sources and send each to the right salesperson. It kills at operational tasks like that.
BUT:
1. For sales and marketing tasks, GPT 5.5 is still more dependable.
2. Fable is crazy expensive ($3.67/task vs $0.87 for Gemini 3.5 Flash)
If you love numbers (like me) the AutomationBenchmark leaderboard is below.
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Zapier retweeted
Jun 9
Claude Fable is here: the first model in their new Mythos series.
It's the new top score on @Zapier's AutomationBench at 17.4%, just two weeks after Opus 4.8 set the record at 15.5%.
Our AutomationBench measures what enterprises actually care about: can a model do the work? Find the right CRM record, send the right follow-up, update the right system without breaking anything?
We tested 600 tasks across 6 domains. Here’s what we saw:
Fable knows when to work smarter instead of harder. That means fewer timeouts and fewer wasted tokens in production.
EXAMPLE: One task asked the model to reconcile employee benefits across countries. The HR system's benefit-plans endpoint returned a 404. Fable hit it once, immediately pivoted to the team's spreadsheet and inbox, found the plan data there, and finished the task. Meanwhile, Opus moved on and missed a key detail.
That's the Fable pattern. It follows complex instructions precisely (especially the "leave these ones alone" kind), and when it hits a dead end, it goes looking somewhere else instead of spinning its wheels and wasting tokens.
PRICING: You may have seen that Fable is 2x the price of Opus. But that's the model rate, not the task cost. In Zapier, Fable came in at $3.67 per task at max effort, only 17% more than Opus 4.8 max at $3.14.
tl;dr:
Who should immediately upgrade their workflows from @claudeai's Opus to Fable?
- Operations & HR
- Long Horizon Tasks needing reliability and autonomy
- Any workflows where precision accuracy matter more than cost
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Zapier retweeted
Jun 9
Loops are powerful bc the trigger is already in your data.
New lead, new email, new support issue, any of these can kick off a Zapier agent to act on your behalf in a fully or semi automated way.
Jun 7
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.
You should be designing loops that prompt your agents.
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Zapier retweeted
New episode just dropped ⚡️
223: Lindsay Rothlisberger: Inside @zapier 's AI Center of Excellence for GTM and how they manage context and skills
Listen, watch and read here: humans.short.gy/lindsay
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The latest leaderboard from @Zapier AutomationBench
zapier.com/benchmarks👀
the amount of alpha you can have right now creating good public AI benchmarks is wild, such a big opportunity
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