The agentic liability clause you need now
Inside: n8n's enterprise evolution, why LLMs actually lie, and a $1.5B bet on cheaper compute.
Welcome to issue #85 of FutureBrief. Three times a week I share practical insights on AI & automation trends, tools, and tutorials for business leaders. If you need support on your technological journey, join our community and get access to group chat, Q&As, workshops, and templates.
📡 Today’s brief
n8n Version 2.0 Adds Enterprise Polish
n8n announced Version 2.0 arriving in December, featuring a revamped UI and the long awaited autosave functionality. It also introduces stricter security standards for self hosting.
MIT Reveals Why Models Hallucinate
MIT researchers discovered that LLMs often prioritize grammatical patterns over actual logic, causing them to link unrelated concepts just because the sentence structure looks familiar. Simple prompts work best.
Felo AI Automates Market Analysis
Felo launched a Pro plan that uses advanced models to conduct deep internet searches and automatically generate slide decks or mind maps from the results. It cuts research time by 90%.
Lambda Raises $1.5B to Expand Compute
Lambda secured massive funding to build out its GPU cloud infrastructure. This influx of capital suggests the shortage of high end chips is easing, which will drive down inference costs for everyone.
Iceland Deploys Claude Across Schools
Anthropic partnered with the Icelandic government to deploy Claude for lesson planning and administrative tasks. This massive pilot validates Claude as the “safe” choice for regulated industries.
💡 Agentic liability clause
We used to build chatbots that just talked. Now we are building agents that take action. They read emails, update CRMs, and move money.
Anthropic recently released a report detailing how hackers are using agentic tools for autonomous cyberattacks. This is a wake up call for every business owner reading this.
If you build an autonomous agent for a client that has write access to their database, and that agent gets tricked into deleting a table, who is liable?
You need an AI behavior indemnity clause. You cannot guarantee an LLM won’t hallucinate or be prompt injected. Make sure your client signs off on that risk before you give a bot the keys to the castle.
Do not deploy write access agents without a signed waiver. The tech is ready, but your legal protection probably isn’t.
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🔧 Tools & Resources
Google AI Studio: Free environment to test Gemini 3 Pro with huge context windows. Best for testing prompts before building expensive automations.
Dazl: Vibe Coding with visual control. Best for building client portals or internal tools where you need AI speed but human design control.
Memori: Open source engine that gives AI agents long term memory. Best for building bots that remember user preferences.
Softr: No-code platform to build client portals and internal tools from Airtable/Google Sheets. Best for businesses needing custom dashboards without hiring developers.
💬 Community Q&A
Q: “Best social media scheduling tool for a non-profit? Open to try out AI tools too.”
A: I personally use Simplified, but if you want to have full control over your data, I recommend a headless approach.
Use Airtable or SmartSuite as your content calendar and single source of truth.
Use n8n to fetch approved posts and fire them to LinkedIn or X APIs automatically.
Use Runway Gen-4.5 for generating the visuals.
This gives you total control over the brand voice and avoids the generic AI slop feel of automated tools. It takes a day to build but saves you monthly fees forever.
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Forward this to a colleague who’s wrestling with manual processes. They’ll thank you.
What’s your take on today’s topics? Did you like it, or is there something I missed?
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Really appreciate the focus on AI behavior indemnity clauses. The MIT research you referenced about LLMs prioritizing gramatical patterns over logic captures exactly why writte access without wavers is such a liability exposure. When you combne that structural weakness with the agent autonomy you describe, you're looking at a categroy of risk that traditional software indemnity clauses never anticipated.