Wade Foster

Co-founder/CEO @Zapier

[Wade Foster @wadefoster]

Today we open early access to @Zapier's next product

We've been using it internally for months (>1,000,000 actions executed so far) and it's completely changed how we work.

We're letting a small group of AI-forward teams try it first and give feedback.

Who we’re looking for:
- 10-100 person teams using AI daily, but need to do so more collaboratively
- teams ready to build and ship automations through agents, not just chat
- teams that already work in the open (call recordings, shared docs, public channels, etc)
- teams obsessed with optimizing every aspect of their work

Join the waitlist: https://t.co/TjsaSI6QdN

[Wade Foster @wadefoster]

https://t.co/HNL7ZhyEmM

[Wade Foster @wadefoster]

Sounds like Zapier

[sam rhea @LakeAustinBlvd]

what your team wants:

max thinking AI model to vibe code a super app that no one asked for

what your team needs:

high-quality context library and the ability to safely create and run workflows (mostly deterministic, sometimes AI inference steps) on top of your systems of record

[Sid Yadav @sidyadav]

What if building your dream digital business felt as easy as vibe coding?

Starting today, it does.

Here's everything we announced at Circle Eclipse 🧵

[Wade Foster @wadefoster]

If you want to pull your AI out of the echo chamber, give it a try in @Zapier:

https://t.co/SetxAasOKk

[Wade Foster @wadefoster]

My best advisors aren’t on the payroll.

In fact, they’re not even real.

It's a skill called War-Council that turns subagents into advisor personas:

1. A ruthless CFO
2. A wartime operator
3. A compassionate customer rep
4. 1-2 ‘dynamic’ personas for the use case

The ‘Council’ is great for moments where the right answer is uncomfortable and the wrong answer is easy to rationalize.

They debate. The Judge, a neutral agent, summarizes the council's view and bets $1,000 of its own ‘money', using game theory. (AI makes better decisions with higher stakes)

It’s not replacing human consultation - but it often flags things humans wouldn’t. I use it for moments where the right answer is uncomfortable and the wrong answer is easy to rationalize.

The ‘Ruthless CFO’ doesn't care what I want, he just reads the data and makes the call.

[Satya Nadella @satyanadella]

https://t.co/vLmiBKTtX3

[Wade Foster @wadefoster]

Don’t put all your eggs in one ai lab basket.

[Chamath Palihapitiya @chamath]

If a Treasurer of a Fortune 1000 company kept all of their cash in one bank they’d be fired for incompetence.

Similarly, if the leadership of a Fortune 1000 company bets the farm on only one frontier lab and their models you’re taking a lot of risk. This risk compounds as the labs’ intentions and public actions are bewildering and show them to be increasingly unpredictable.

This is why every major enterprise needs a model agnostic “control plane”. Get the work done, increase the productivity, make more money, save costs, increase efficiency but do it with governance, auditability and control.

Capabilities across all models are converging. Open source prices are, in some cases, 1/100th of the frontier labs. But governance, control, compliance and collaboration capabilities don’t exist unless you first focus on the right “control plane”.

If you do not find such a “control plane”, you’re increasingly taking risk as the frontier labs become increasingly unpredictable.

This is why 8090’s Software Factory is used this way in every major part of the economy including governments.

[Wade Foster @wadefoster]

New weekend plans.

[Wade Foster @wadefoster]

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: https://t.co/MT6aSKHaER

[Wade Foster @wadefoster]

Full convo here:

https://t.co/en8G7L5mLR

[Wade Foster @wadefoster]

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.

[Wade Foster @wadefoster]

Fable's scorecard measures tool use with @Zapier's AutomationBench.

If a model can't run tools well, it can't do the job.

Fable has our highest score yet.

[Claude @claudeai]

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.

[Wade Foster @wadefoster]

Team has made connecting your tools to Claude so easy. Just copy/paste this and let it cook:

"can you add the Zapier connector for me"

[Daniel Shepard @danielwshepard]

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.

[Andrew Warner @AndrewWarner]

🚨 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.

[Wade Foster @wadefoster]

Talking AutomationBench and Fable 5 with the @every crew!

[Dan Shipper 📧 @danshipper]

VIBE CHECK: Claude Fable 5 IS OUT! https://t.co/dGVuRlK7H8

[Dan Shipper 📧 @danshipper]

VIBE CHECK: Claude Fable 5 IS OUT! https://t.co/dGVuRlK7H8

[Wade Foster @wadefoster]

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

[Wade Foster @wadefoster]

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.

[Peter Steinberger 🦞 @steipete]

Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.

You should be designing loops that prompt your agents.

[Wade Foster @wadefoster]

We just open-sourced Zapier’s GTM agents.

It's a GitHub repo of GTM agent skills and pre-built automations, built on @Zapier SDK + MCP.

Some of the automations included:
- Daily lead audits to flag what's slipping
- No-lead-left-behind rollup
- Cross-CRM Opportunity Sync
- Customer Deck Builder
- PR & Media Inbox Triage

Plus skill files across marketing, sales, revops, customer advocacy, and support.

Drop them right into Cursor, Codex, Claude Code, or wherever you're building.

https://t.co/7xzpfzwxVr