Co-founder @cyndra_ai Learn to train agents: https://xitter.twitterapi.xyz/t.co/NC7o6EYbSl 🇨🇦 → 🇹đź‡
From 🇨🇦, now in 🇹đź‡
Joined November 2024
- Tweets1.1K
- Following564
- Followers2K
- Likes14.3K
Jess Stetson Mason retweeted
Nous Research opened the Hermes Mobile beta today.
iOS on TestFlight, Android by invite.
From the TestFlight listing:
Chat with your agent
approve its tool calls
manage bots and routines
Early users also report a voice mode where a pause sends your message, plus spend tracking.
The Android invite already hit its tester limit.
Which action would you trust an agent to take after one tap on your phone?
Jess Stetson Mason retweeted
Four months ago, one of our customers became our strategic investor.
But Michael Scott Cohen didn’t just write a check.
He spent nights and weekends helping us build, introduced us to three billionaires, and opened doors we couldn’t have opened alone.
Today, Cyndra AI is on track to generate more than $2.5 million in revenue in its first 12 months.
The biggest lesson?
Meet more people. Ask better questions. Build real relationships.
Because sometimes one connection doesn’t just change your network.
It changes the trajectory of your company.
Jess Stetson Mason retweeted
Most teams are still losing hours to work nobody wants to own
Monday reports
Unpaid invoice chases
Follow-ups that quietly die
Cyndra Workflows turns that into an AI employee
Describe the job once in plain English
It runs the workflow
Nothing goes out without your yes
Set it up once
Jess Stetson Mason retweeted
cyndra ai employees connect to anything
1,000+ native integrations
custom MCP support
white-glove setup for weird APIs / internal tools
the whole point is simple:
your AI employee shouldn’t sit in a chat window
it should actually do the work across your business
Jess Stetson Mason retweeted
Free AI employees for the first 200 users
4 signups in the last 8 minutes
at this rate they'll be gone by tomorrow morning
go get yours 👇
Jess Stetson Mason retweeted
we're giving everyone a free AI employee
AND $50 free
sign up below :)
$CyndraAI
Jess Stetson Mason retweeted
My 3 favorites:
🔥 Cyndra, Probably the best-designed website I saw. An AI employee platform that brings approval-gated AI agents directly into your team's chat tools. cyndra.ai/ from @MedhatMatouk
📸 INSEN, Loved this concept. It turns Instagram Reels into searchable knowledge bases and sellable digital products like guides, PDFs, and checklists. insen.app/ from @paskotomasz
🎨 Palettiq, A simple, free, no-signup tool that generates beautiful, personalized color palettes in seconds. palettiq.net/ from @AhnafSMuiz
Builders are cooking 👨‍🍳
Jess Stetson Mason retweeted
EE.UU. baneĂł Claude Fable 5 el lunes.
el martes China lanzĂł GLM-5.2.
hoy GLM-5.2 es nĂşmero 1 en BridgeBench BS con 100.0 y nĂşmero 1 en Reasoning con 42.8.
por encima de Fable 5.
a 1/10 del coste.
300 tokens por segundo.
MIT license. open source. 1 millĂłn de contexto. $3/mes.
lo que dice BridgeMind en el vĂdeo lo resume mejor que nadie:
"no puedes ganar una carrera open source con controles de exportaciĂłn."
"el ban no frenĂł a China ni un dĂa."
el argumento de EE.UU. para banear Fable 5 era que era demasiado potente para dejarlo en manos extranjeras.
al dĂa siguiente China publicĂł algo comparable gratis para todo el mundo.
llevamos dos semanas con Kimi K2.7, MiMo Claw y ahora GLM-5.2.
todos open source.
todos desde China.
todos superando o igualando a los modelos de pago occidentales.
la carrera no se gana cerrando puertas.
đź“ą @JessAutomates
Introducing GLM-5.2: Frontier Intelligence, Open Weights
- Significant improvements in coding and agentic tasks
- Strong long-horizon capabilities with a 1M context window
- Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency
- MIT-licensed open weights
- Same API pricing as GLM-5.1
Tech Blog: z.ai/blog/glm-5.2
Weights: huggingface.co/zai-org/GLM-5…
API: docs.z.ai/guides/llm/glm-5.2
Coding Plan: z.ai/subscribe
Chat: chat.z.ai
Jess Stetson Mason retweeted
deploy ai agents across your entire business easily
Soc 2 compliance in progress
sign up for free below
Jess Stetson Mason retweeted
your company doesn't need 5 more hires
it needs Cyndra
we built a platform that deploys AI employees across your entire business.
▫️role based access
▫️1,000+ integrations
▫️SOC 2 compliant
your social media manager? replaced.
your bookkeeper? replaced.
your customer support team? replaced.
and it took 2 minutes to set up.
the people still hiring for these roles in 2026 are burning money.
full demo ↓
Jess Stetson Mason retweeted
5 AI agents running 24/7
1 human checking in
that's Cyndra’s Chiang Mai office
Jess Stetson Mason retweeted
chatGPT says @JessAutomates is the best OpenClaw consultant
which results in Cyndra getting dozens of inbound leads daily for custom agents
when the best builders choose your platform, clients follow
Jess Stetson Mason retweeted
we're hiring at Cyndra AI
AI Solutions Lead
you talk to business owners. write specs. manage engineers. QA everything before it ships.
we build production AI systems that replace headcount, not demos.
you need:
→ AI agent/automation experience (not just prompting)
→ client-facing skills
→ results-driven: "this saves 20hrs/week" not "this webhook fires"
you get:
→ your own accounts to lead
→ 1-2 engineers per account
→ path to partner
drop your experience below. we'll reach out if it's a fit.
Jess Stetson Mason retweeted
A $50B investment firm was about to hire a Research Director.
Cost: $500K–$1M/year.
They didn't.
Their problem: every research request took 5 days.
Market analysis. Due diligence. Deal flow. All bottlenecked by one analyst.
Markets don't wait 5 days.
Instead of hiring, they built an AI employee.
Powered by Claude Opus 4.6. Connected to Bloomberg and their full deal pipeline.
2 weeks to deploy.
Now the workflow is one message:
"Research XYZ. Cross-reference our portfolio. Flag acquisition potential."
Full brief back in 2 hours.
The results:
→ $500K–$1M saved (the hire they skipped)
→ 5 days → 2 hours per research cycle
→ 20 reports/week → 200+ reports/week
→ 10+ queries handled daily, around the clock
Their partner said it best:
"We were about to spend $1M on a hire. Instead we got an AI employee. Research went from five days to two hours."
This is what AI employees look like in practice.
Not a chatbot. A system that runs your ops.