Building Together: Why Community & Transparency Fuel our AI Journey
All-in on AI is where operators co-build agentic workflows, share wins and failures, and improve faster together through transparent, peer-led systems

Breakthroughs in automation don’t happen in isolation. At Framework Friday, we’ve learned that the fastest way to improve a system is to share it early, fix it together, and rebuild in the open.
That’s why we created All-in on AI – a free community where builders and operators co-develop agentic workflows in real time. No polish. No guesswork. Just working systems, shipped weekly and stress-tested by peers.
What We’ve Learned (And Why It Changed Everything)
When we restructured around agentic AI, two lessons became obvious fast:
• No single team has every answer.
Our best agents were born from community feedback – edge cases, forks, and remix logic we never saw coming.
• Transparency shortens the build cycle.
When you share an experiment early, the fix often arrives before the failure costs you anything.
That’s why All-in on AI isn’t just a content hub – it’s a build-with-you feedback loop. Every workflow gets stronger because we ship it publicly.
Inside the All-in on AI Community
Here’s what you’ll find – and what we hope you’ll add to:
• Templates You Can Actually Use
Proven n8n blueprints with real-world metrics and Loom walkthroughs
Community forks that remix and improve the originals – live
• Build-With-Us Sessions
Weekly calls where we test GPT agents, tear down what failed, and celebrate what didn’t
Transparent wins and near-misses shared openly – then templatized
• Peer Q&A Threads
Ask the Tiger Team or fellow members how they solved a blocker
Searchable archive of threads on topics like “Shopify Catalog Agent” or “LangChain eval harness”
• KPI Dashboards in Daylight
Live metrics on hours saved, bot containment, and adoption rates
Shared inside the community – so you see the lift, not just the claims
Why It Works Better in Public
1. Feedback moves faster
When a Zapier fallback failed last week, a member fixed it before we did.
2. Innovation compounds
A LangChain router tweak from a community builder turned into a prompt pack downloaded 60+ times.
3. Trust runs deeper
We share the mistakes too. If our bot containment dips to 62%, we post it – because the fix only comes when the problem’s visible.
And because every iteration includes a walkthrough and a copy-ready file, there’s no mystery about how it works – or how to make it better.
Join the Build-With-Us Era
We’re not chasing perfection – we’re compounding progress. If you’re testing GPT, agentifying workflows, or looking to reclaim your team’s time, you belong inside this community.
✅ Explore the template vault
✅ Join the All-in on AI community channel
✅ Drop into a live build session this week
Then share your first win – even if it’s a small one. That’s how the loop compounds.
👉 Join All-in on AI and be part of what we build next.
Related Articles
More articles from Finance Planning & Analysis

Litmus-Tested: How Framework Friday Prioritizes What to Automate First in FP&A - Smarter automation starts with better questions
# Why Finance Can’t Afford Blind Automation Finance teams today face a different kind of pressure. Customer acquisition...
Read more
Reimagining FP&A through Agentic Workflows – From Automation to Strategic Intelligence
### Introduction: A Strategic Inflection Point for FP&A The role of FP&A (Financial Planning and Analysis) has continual...
Read more