Impact Insight Agent
The agent that turns every pledge into a personalized, AI-narrated news story — generated live, grounded in real local data, every single day.
A digital worker that runs in real time on every submission: it retrieves locally relevant environmental context with a RAG pipeline, has an LLM write a grounded impact report, and voices a two-narrator audio news story — all generated on demand and rendered server-side in a single pass, with zero client-side API calls.
The work that bites back when feedback is generic
Water conservation campaigns ask people to pledge, then go quiet. Without a way to show participants what their specific pledge actually means — for their city, their household bill, their community — engagement fades fast, and one-size-fits-all follow-up can't scale to thousands of cities.
Abstract impact
Participants struggled to understand how their personal pledges translated into real environmental benefits for their communities.
Generic messaging
One-size-fits-all content didn't resonate with participants' local contexts across diverse regions, from drought-stricken Arizona to flood-prone New Jersey.
Engagement gap
Without personalized feedback, maintaining long-term commitment beyond the initial pledge was difficult.
Scale challenge
Serving thousands of cities with relevant, localized content manually was operationally impossible.
How the agent responds to every pledge, live
The moment a participant submits a pledge, the agent kicks off two AI pipelines in parallel and returns both as ready-to-embed content in a single response — no pre-generated templates, no batch jobs.
- 1
Pledge received
The agent receives the participant's name, city, state, and specific conservation pledge — water, energy, or plastic — the instant they submit.
- 2
Local context retrieved (RAG)
It embeds the pledge and searches a state-filtered vector knowledge base for the most relevant local water, energy, or infrastructure context — no generic filler.
- 3
Impact report written
An LLM writes a structured report grounded in that retrieved context, connecting the participant's specific numbers to real local conditions and a concrete household cost saving.
- 4
News story scripted and voiced
In parallel, a custom four-line 'breaking news' segment is generated and voiced by two distinct AI narrators trading lines about the participant's pledge.
- 5
Audio mixed and cached
The narration is mixed live with background music using pure-Python audio processing — no external tools — then cached so repeat visits load instantly.
- 6
Delivered in one response
Both the audio clip and the written report are rendered server-side into the confirmation page in a single pass, live the moment the participant submits.
Built to run unattended, every single day.
The agent runs continuously throughout the campaign with no manual intervention — caching results to control cost, degrading gracefully if a step fails, and generating a fresh, grounded report and narration for every pledge, every day, at any scale.
"By incorporating DoozerAI, we're providing participants with a powerful tool to see the direct connection between their actions and the health of their communities. When residents see how their actions impact everything from local water quality to the cost of living, it motivates them to stay engaged and do even more for their communities."
— Steve Creech, President, Wyland Foundation
Start a Proof-of-Value
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