Matan-Paul Shetrit

Building product @get_writer. Previously @ateamsinc, @brexhq, @flexport, @square, @gumroad, @stripe. Member @sandboxers and @globalshapers

[Matan-Paul Shetrit @MatanPaul]

https://t.co/as2ThociX7

[Matan-Paul Shetrit @MatanPaul]

The real bottleneck for AI agents is not capability. It’s enterprise truth.

Agents now consume the same messy knowledge humans have learned to work around: stale docs, conflicting policies, fragmented systems, unwritten context.

The next wave is not just building agents. It’s building supervision, curation, and orchestration around them.

[WRITER @Get_Writer]

Most conversations about AI agents focus on capability. But who maintains the knowledge they rely on?

Stack Overflow went from millions of questions per month to nearly zero in just 3 years. Developers stopped asking humans and just asked AI instead.

That’s a preview of what's  hitting enterprises right now. Agents are inheriting our messy, contradictory knowledge. Three versions of the same policy. Pricing that differs between sales, the wiki, and finance.

Humans navigate this mess through judgement and  relationships. Agents can’t.

So a new role is emerging: AI curators. People who maintain the knowledge base like infrastructure – because now the consumer of bad information isn’t a human who’ll catch the error. It's an agent that may act on it directly.

Our VP of Product, @MatanPaul wrote about the jobs this creates and why most organizations aren't ready for this shift yet: https://t.co/AMNOfUnZGL

[Eyal Yakoby @EYakoby]

Never deleting this app.

[Matan-Paul Shetrit @MatanPaul]

this is a solid piece but either misses or chooses not to touch on the elephant in the room - France defense contracts that are being lost left and right to Israel defense industry. The current French posture is a push back on contracts lost and has nothing to do with guilt. Money talks

[Matan-Paul Shetrit @MatanPaul]

@yuvalav @Avi__mualem זה דיון מטומטם הבייס מודל זה אולי קיימי אבל ה rl and finetune זה data שלהם. ברור שמאסק וכולם קופצים על זה כי המודל מתחרה בהם ישירות. לצרוך העניין (עד ללםני כמה שבועות) אם אתה שולח פרומט לקלוד בסינית לשאול מי יצר אותך הוא אומר deepseek למה? כי הם השתמשו במודל ליצור data

[WRITER @Get_Writer]

Introducing the new ✨WRITER Partner Program✨– designed to give the organizations working with us the incentives, resources, and structured support to drive enterprise AI transformation.

We’re curating a thriving ecosystem of solution providers, delivery leaders, and transformation partners passionate about quality, outcomes, and execution excellence. Together, we’re extending the enterprise's ability to transform itself through builders who are trained and supported like extensions of our own delivery teams.

Today we announced a new partner portal and learning foundry to support our partners at every stage of their journey with us.

The program has 3 tiers:
→ Activate: Platform access and structured enablement
→ Elevate: Co-sell and co-deliver with proven impact
→ Ascend: Shape the category through delivery excellence

Not a network. A force multiplier.

Huge thanks to our partner ecosystem for building this with us 🙌

Get more details about the new partner program (https://t.co/CkCkNeMGis) or sign up here: https://t.co/6iZGMsjFbu

[Matan-Paul Shetrit @MatanPaul]

This is amazing! Great work @dadiomov and team

[Modern Treasury @ModernTreasury]

Breaking: there’s a new way to move money!

Today, we’re launching Payments, our integrated payment service provider (PSP) built to let teams move money easier than ever.

For too long, teams building payment products have had to juggle fragmented vendors, slow bank integrations, evolving regulations, and infrastructure that needs to be rebuilt every time a new rail appears.

Payments changes that.

With one API, teams can:

- Go live in days, not 6-12 months
- Move money across ACH, wires, cards, RTP, FedNow, and stablecoins as first-class rails
- Build with confidence, using built-in KYC/KYB and transaction monitoring
- Scale forever by starting with our PSP and plugging in more banking partners overtime, without re-integrating

All powered by the same orchestration, ledgering, and reconciliation software that’s already processed $400B+ in payments, with 99.99% uptime and 99% CSAT over the last six months.

Our goal is simple: to be the forever payments platform for teams of all sizes, wherever they are on their journey.

Ready to build payments products faster and scale without limits? Visit https://t.co/cmo2JhP5Mz to get started.

[WRITER @Get_Writer]

WRITER + @Atlassian = better together 🤝

Product insight shouldn't stop with product teams. Roadmaps, specs, and customer feedback live in Jira and Confluence—field teams need that context to move fast, and product teams need field signals to ship what matters.

With the Atlassian Rovo MCP server, WRITER Agent can now:
→ Turn Jira feature updates into customer-ready sales, support, and enablement assets
→ Write updates back to Jira and Confluence—without switching between tools
→ Operate directly across Atlassian and the rest of your stack

[Matan-Paul Shetrit @MatanPaul]

@buccocapital agree!

https://t.co/sW1k6VLvEF
https://t.co/4Xonzjoyz5

[Matan-Paul Shetrit @MatanPaul]

SaaS companies aren’t adding agents.

They’re deciding where context is allowed to live.
I wrote about why agentic shims are becoming the new control plane, what this does to cross-system reasoning, and why “context” is now the real moat.

Curious where people land on this.

[Matan-Paul Shetrit @MatanPaul]

https://t.co/as2ThociX7

[Matan-Paul Shetrit @MatanPaul]

@ParanoidPol And mid term fundraising

[Matan-Paul Shetrit @MatanPaul]

@ophir_dayan This is exactly how AI benchmarking works

[Sam Julien @samjulien]

I ❤️ smol open models and today @Get_Writer launched the palmyra-mini family with thinking variants!

52.6% on Big Bench Hard (palmyra-mini)
82.9% on GSM8K (thinking-a)
92.5% on AMC23 plus top scores across AIME24, GPQA, and MATH500 (thinking-b).

Links below to try them out!

[Matan-Paul Shetrit @MatanPaul]

@pedroh96 LFG!

[Matan-Paul Shetrit @MatanPaul]

The future firm won’t just execute.

It will think. Learn. Evolve. And the enterprises that embrace this shift will lead, compounding intelligence with every cycle.

Read the full essay: https://t.co/e9vTPdLOi7

[Matan-Paul Shetrit @MatanPaul]

Every enterprise runs on an invisible network of handoffs, approvals, and escalations.

It’s the engine of coordination, and the bottleneck of execution.

AI is about to change that.

Introducing The Living Brain of the Enterprise 🧵👇

https://t.co/e9vTPdLOi7

[Matan-Paul Shetrit @MatanPaul]

As AI‑native employees rise:
- 90% of work is handled invisibly by agents
- Humans see briefs, recommendations, and decision points
- Work feels like flow, not friction