Today in a glance:

💎 Gem → AI agents for the Idea-to-Launch pipeline

📈 Trend → Funding trends show a faint heartbeat

💬 Topic → Is AI becoming the new keyboard?

🎯 AI agents for the Idea-to-Launch pipeline

With only around 12% of organisations using AI agents (I couldn’t find consumer or startup stats), I find there’s a fun window to really strive ahead with some cool, niche use cases.

So if you’re looking to generate a pipeline of ideas from a community you don’t need to continuously monitor, here’s a fancy schamsy workflow you can adopt:

• The research Agent automates the process of finding what people care about, storing it, then analysing it:

  • Scrape content using a tool like Browse AI to collate data and send to…

  • An insight & content store like Notion or Google Sheets. From there you can…

  • connect the steps through Zapier, where you point the Zapier agent at this content store. Zapier can then pass this information along to…

  • A chatbot to analyse the content. The Zapier agent can take the response and put it back into the content store. From there, the research agent passes it along to…

• The Ideation Agent which is a separate Zapier agent you point at your content store to ‘watch’ for new insights:

  • Notion or Google Sheets will be updated as new insight comes in from the research step. The Ideation Agent will pick this up and send the new insight to…

  • A chatbot who’ll analyse the new insight and generate ideas. The Ideation Agent then…

  • Takes this response and stores it in a new row. From there, the..

• Drafting Agent will take your content ideas and turn them into a full fledged piece of content such as a PRD.

  • Use a new Zapier agent to trigger once a new idea has hit the content store. Set it up to…

  • Ping it to a chatbot with the purpose you need it for, i.e. write me a PRD, a blog post, whatever. And then use the Drafting agent to…

  • Save this as a draft in a new row.

Voila! 🪄

📈 Funding trends show a faint heartbeat

I was browsing LinkedIn and found some enlightening data from Carta.

What the graph is saying is that companies are taking longer to reach Series A funding.

Looking at the FinTech column for example, it’s saying 41.5% of FinTech companies who got Seed funding then got Series A funding in under 2 years.

Given how tumultuous times have been, graduation rates from Seed to Series A dropping heavily isn’t a huge surprise given the climate.

Looking at this next graph, you can also see a big sea of red taking over like scarlet rot in late 2021 until now - but there is a small sign of hope 🙏

💬 Is AI becoming the new keyboard?

The image of an elder relative painstakingly hunting and pecking at a keyboard, or struggling to grasp the nuances of a mouse is a familiar, endearing memory.

Looking around now, the kids of today are not just interacting with screens; they are conversing with intelligent assistants, generating images from text prompts, and experiencing personalized learning through AI algorithms.

For them, the ability to articulate complex ideas, formulate precise queries, and leverage AI to create, analyze, and innovate will become as fundamental as touch-typing is for us.

Take these stats from the Literacy Trust:

• The percentage of 13- to 18-year-olds who said they had used generative AI increased from 2 in 5 (37.1%) in 2023 to 3 in 4 (77.1%) in 2024.

• In 2024, a similar percentage of boys than girls said they had used generative AI in 2024 (78.3% vs. 76.4%) and young people who did, and did not, receive free school meals (FSMs) were equally likely to say they had used it (77.7% vs 77.3% respectively).

Young people are using it - and it’s widely available to everyone regardless of background.

It's a fascinating shift. The tools of creation and communication are evolving, moving beyond physical interfaces to intelligent partnerships. Roll on the generation of cyborgs! 🤖