WattBotNot a chatbot. A crew member.
WattBot is an AI work agent designed to run on supported local hardware and help with the reading, searching, summarizing and repetitive steps around construction work. It reads and drafts. Your people decide.
The demo runs in your browser — nothing to install and no account needed.
The 1998 PC motif as a supporting visual, paired with real WattBot output or a real spec-review screen. The page should prove the software, not only the metaphor.
Use AI where it saves hours — not where judgment belongs.
Construction teams spend enormous time reading long specifications, finding project details, writing summaries and repeating administrative steps. Those are good places for an AI agent.
Pricing judgment, scope decisions and accountability stay with the people doing the work.
Read the documents nobody has time to reread.
Use WattBot to work through project documents, surface relevant information and draft a usable summary. Source context stays visible so you can verify the result instead of treating an AI answer as authority.
A real spec scan with source section and page references, and review flags.
Draft the repetitive part. Keep the decision human.
WattBot can help draft summaries, notes or routine project text. The responsible estimator, PM or foreman remains the final reviewer.
A drafted summary beside its review and approve state.
Run locally where the workflow supports it.
WattBot is designed around local-model deployment on supported hardware. Depending on the configured workflow, that can reduce the need to send working documents to a third-party cloud AI service.
A simple architecture diagram: user files, then local WattBot, then a local model, then reviewed output.
Put AI inside the Watt workflow.
The best AI feature is the one that appears where the work already happens. WattBot can support tasks such as spec review, bid-intake assistance and project summaries instead of forcing you to leave the system and start a separate chat.
WattBot surfacing inside a Watt product screen rather than a standalone chat window.
Guardrails, stated plainly.
Estimators price the work. WattBot reads, finds, summarizes, drafts and flags.
UL selection, code and compliance judgment stay with the responsible person.
Where possible, output is reviewable and attributable back to the source material.
Local-only claims are published only for workflows verified to stay local.
The exact data path for any individual feature — including whether it uses an external service — is confirmed against the production configuration before we publish it.
Built for the people doing the work.
- Estimators reading long specifications
- Project managers writing recurring summaries
- Operations staff repeating administrative steps
- Contractors who do not want working documents in a public AI service
It should fit how you already work.
We do not publish customer counts, time-savings percentages, certifications or integration claims we cannot show you in the product. If a capability is planned rather than shipped, we will say so on the call.
WattBot, answered straight.
Does WattBot price the work?
No. WattBot can read, find, summarize, draft and flag information. Estimators price the work.
Does my data leave the building?
WattBot is designed to support local-model workflows on supported hardware. The honest answer for your setup depends on the exact production configuration, including any external service a specific feature uses — ask us and we will answer feature by feature.
Is this just a chat window?
No. WattBot is a work agent embedded into repeatable tasks and Watt workflows rather than a generic conversation box.
What hardware does it require?
Supported deployment hardware is being finalized. We would rather tell you the real requirement than publish a speculative spec sheet.
Can we use it without the rest of Watt Systems?
WattBot is most useful when it is connected to actual workflows. Talk to us about what a standalone or local-only deployment would cover.
Put AI on the repetitive work.
Show us the documents and repeatable steps that consume time today. We’ll show where a local WattBot workflow can help — and where it should stay out of the decision.