Rightbrain AI

The platform for service businesses to build, deploy and run agents for your clients. Faster to market and production-ready from day one.

[Flo @Florian_Ruspi]

Quick recap of evals on https://t.co/YN77kGUVZT

- build reference datasets from production data
- compare new versions on that historical data
- set a judge model with clear objectives and rubric
- compare results

[Rightbrain AI @RightbrainAI]

shiny new docs for the builders

https://t.co/wyTJ5fwaf1

[Rightbrain AI @RightbrainAI]

We're back on X and we've been cooking

[Rightbrain AI @RightbrainAI]

Opus 4.6 is now live on Rightbrain AI.

Anthropic's most intelligent model. Ready to plug into production-ready agents and tools that run inside your existing platforms.

Built for complex reasoning. Not just speed. Where nuance determines whether the output is useful or noise.

Some inspiration:
→ Contract analysis that cross-references master agreements against amendments and side letters. Flags conflicts. Outputs structured risk assessments into your legal workflow.
→ Compliance reasoning that holds multiple regulatory frameworks in context at once (FCA, GDPR, internal policy) and returns pass/fail verdicts with specific citations.
→ Research synthesis that connects competitor data, market signals, and CRM context. Produces strategic briefs with non-obvious insights, not summaries.
→ Incident root cause analysis across logs, alerts, and metrics. Structured for PagerDuty or Jira.
→ Messy data classification that handles the edge cases lighter models get wrong. Confidence-scored.
→ Financial narratives from raw data that a CFO would actually use. Not templates. Deep analysis.

What use case are you going to unlock?

[Claude @claudeai]

Introducing Claude Opus 4.6. Our smartest model got an upgrade.

Opus 4.6 plans more carefully, sustains agentic tasks for longer, operates reliably in massive codebases, and catches its own mistakes.

It’s also our first Opus-class model with 1M token context in beta.

[Flo @Florian_Ruspi]

Built a custom AI enrichment on @attio via @RightBrainAI

New record → auto-research account → qualify against our value prop and suggest use cases with Rightbrain → enrich CRM

Next up: auto-triggering lead research at certain scores.

[Flo @Florian_Ruspi]

Built this 'Executive Briefing Assistant' to help me deal with information overload in '26. It will:
- Accept any topic as an input, eg 'US Venezuela'
- Conduct a Perplexity Search on it
- Analyse the content from the top 10 results
- Generate an audio file with your exec brief

You can either preview an example run or 'Clone and Run' it in your own workspace on a topic of your choosing (https://t.co/kc9lFXvbeA). Gets even better if you tailor the prompt to your biz or industry.

[Flo @Florian_Ruspi]

Now live on Rightbrain 🔌 Simply switch it as a primary or fallback model in your Tasks. No additional configuration needed.

[Rightbrain AI @RightbrainAI]

🔬 AI Observability is key - built in audit logs give you a live stream of all your task runs, wherever they are deployed. Monitor AI tools that are integrated into workflows, apps or agents through one dashboard.

- See failed runs and diagnose quickly
- Compare tokens, cost and speed
- Spot any anomalies across key metrics

[Rightbrain AI @RightbrainAI]

Last week felt a little familiar 🎥

@GoogleDeepMind , @AnthropicAI and @OpenAI all dropped new models. Beyond the hype, our favourite take came from @simonw - 'I’ve mainly explored full GPT-5. My verdict: it’s just good at stuff.' GPT-5 may not represent a huge leap in comparison with other LLMs but seems to deliver the level of consistency for most biz use cases.

[Rightbrain AI @RightbrainAI]

Here we go! We're excited to support the launch of OpenAI's open-weight model gpt-oss-120b, designed for powerful reasoning, agentic tasks, and versatile developer use cases.

Now available on Rightbrain and ready to test across any text-based task, like code reviews, content moderation, and document summarisation.

Best practices:
🔧 Define tools clearly — include parameters, output formats, and constraints
🧩 Break down tasks into step-by-step instructions to guide the model’s reasoning
📄 Use long context to enable richer workflows and cross-document analysis

Head over to https://t.co/k3N6c6S5E1 to try it for yourself.

[Rightbrain AI @RightbrainAI]

⚡ Need for Speed

📷 Kimi K2 by Moonshot AI has been making waves with its combo of speed and performance, so we put it to the test against Gemini 2.5 Flash-Lite on an article analysis task.

[Rightbrain AI @RightbrainAI]

🧠 Turn any prompt into a production-ready AI tool in 3 steps:

1️⃣ Find a repetitive task your team runs
2️⃣ Create your prompt with input variables (e.g., "Generate product listing from photo + {description}")
3️⃣ Use Rightbrain assistant for consistent results

Then plug into your existing workflows via API or MCP 🚀

[Rightbrain AI @RightbrainAI]

📽️A little teaser for our next major release - a single dashboard for managing AI tools. See requests, results, cost and latency stats for AI use across any app or agent.

💡 Why? We keep hearing from tech and biz leads that their teams are adopting AI but most of this happens without any real oversight. They want to enable their colleagues and customers but worry about the quality and consistency of outputs.

⏩ Build in Rightbrain, deploy via MCP wherever you need your tools to be.

[Flo @Florian_Ruspi]

🧵 Quick demo calling a Changelog Entry Generator tool from @AnthropicAI Claude desktop via MCP (Model Context Protocol)

✨ The magic: Rightbrain's run history updates in real-time as tools execute in Claude

🎯 This means standardised, centrally-governed AI tools that work across ANY agent or assistant

Build once, deploy everywhere our team uses AI 🚀

MCP primer: https://t.co/cEOKZn8X0C

[Rightbrain AI @RightbrainAI]

⏩Gemini 2.5 Pro and 2.5 Flash are now live on Rightbrain, available for your new and existing production AI tools

[Google DeepMind @GoogleDeepMind]

Hot Gemini updates off the press. 🚀

Anyone can now use 2.5 Flash and Pro to build and scale production-ready AI applications. 🙌

We’re also launching 2.5 Flash-Lite in preview: the fastest model in the 2.5 family to respond to requests, with the lowest cost too. 🧵

[Eleanor Berger @intellectronica]

🚀 The AI engineering inflection point is here - but most teams are still figuring out how to scale beyond "vibe coding"

While one person can now bash out a prototype in an afternoon, shipping fault-tolerant products still requires teams, processes, and discipline. The difference between success and chaos? Clear principles before the AI starts generating code.

💡 Humans own every line in production - no rubber-stamping AI output

⚖️ Automate the tedious; keep humans "on the loop" for critical decisions

📋 Standards are your AI's steering wheel - inconsistent conventions = inconsistent suggestions

🔧 Freedom at the edge, rules at the core (centralised configuration is non-negotiable)

📚 If it isn't documented, the AI won't know it

🎯 AI proficiency beats seniority - invest in everyone

Read the full guide for actionable frameworks [ 🔗 link in reply ⤵️ ]

[Flo @Florian_Ruspi]

Pick a template, any template

1. Find a template for AI feature or tool on @RightbrainAI
2. Clone it
3. Run it
4. Tailor it

And finally deploy it with a single API call in any app, workflow or agent

[Flo @Florian_Ruspi]

Have been following @PreSeedNow for a while as a way to track new start ups in the UK so very nice surprise to see a couple of familiar faces in my inbox today 🤩

https://t.co/H98s0030ZA ➡️ @RightbrainAI