Five questions to ask before a development organization invests in AI
Before buying an AI tool, answer five questions about the problem, your data, the risks, the people involved and how you will measure success.
Read article →Insights
Ideas on AI, data and climate
Agentic AI for landscapes, MRV and verification, climate and nature finance, and lessons from the field.
AI assistants for farmers: what we learned in the Río Lempa watershed
A farming assistant on WhatsApp works when it uses the right channel, draws on validated knowledge, integrates climate data and has people reviewing it.
Read article →Why an AI agent needs an auditor: verification lessons from MRV
Measuring, reporting and verifying isn't just for carbon and forests. MRV principles also help you check what an AI agent did, and how well.
Read article →From software to outcomes: what agentic AI means for climate and agriculture
Writing code has become cheap. What's scarce now is defining the outcome well, verifying it and governing how it's achieved.
Read article →Digital Rocks
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