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Angi AI agents

Angi AI agents from Bonfire Terminal help you work the home services marketplace using your Angi context and credentials. Running locally on your own machine, they help track leads, prep quotes, and organize customer requests from Slack or Telegram.

Get Angi AI agentsHOME SERVICES MARKETPLACE · CONTEXT BEACON
Block 1 · Context beacon

How Bonfire works with Angi

Angi does not expose a public REST API we can drive directly. Instead Bonfire stores your Angi credentials and context locally on your machine and surfaces them to your chosen AI model, so an agent can reason over your Home Services Marketplace data and draft, summarize, and prepare work — while your data stays on your own hardware.

Block 2 · Automation recipes

Angi agents in action

Telegram: a chat command → Bonfire → Angi → run a task and replies with the result.
Slack: ask a question → Bonfire → Angi → pull a summary posted back to the channel.
Scheduled: nightly → an agent checks Angi and flags anything that needs your attention.
Telegram / SlackBonfire (local)AI agentAngi
Block 3 · Local-first vs cloud

On your machine, not a SaaS

Bonfire Terminal

  • Your keys & data stay on your device
  • Perpetual license — no per-seat SaaS fee
  • Any connected model — Claude, GPT, Gemini or Grok
  • Offline Llama for local, private reasoning
  • Driven from chat you already use

Cloud AI middleman

  • Keys & data pass through a third-party server
  • Recurring subscription, usage caps
  • Model locked to the vendor
  • Yet another dashboard to log into
Block 4 · FAQ

Angi — questions

How does Bonfire work with Angi?

Bonfire stores your Angi context and credentials locally and surfaces them to your chosen AI model, which reasons over your data on-device — Angi has no public API for Bonfire to call directly.

Does my Angi data go to the cloud?

Bonfire runs on your desktop and keeps your keys local — it isn't a SaaS holding your data. Only the specific request you approve is sent to your chosen AI model.

Which AI models can I use?

Any connected model — Claude, GPT, Gemini or Grok. A fully offline Llama model runs locally for private reasoning but can't reach live APIs.

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