Four scenarios where the agent earns its keep.

Pain. A founder spends two hours a day on invoices, follow-up messages, and routine customer replies, and that is two hours not spent shipping product or closing deals.

Solution. Tangison Agent watches the shared inbox, drafts invoices from your template when a purchase confirmation arrives, sends WhatsApp follow-ups to customers whose payments are overdue, and logs every action to the audit trail. The agent runs on a small VPS you already pay for, costs nothing per message beyond the model tokens, and never asks permission to log off at 5pm. You review the drafts in a single batch at the start of the day and approve with one click. The audit log doubles as a record for your bookkeeper, so nothing falls through the cracks at month-end reconciliation.

Pain. Context-switching between code review, deploys, and incident response is the silent tax on every engineering hour, and the switching cost doubles when the team is on call.

Solution. Tangison Agent reads your repo with the read_write_files skill, checks out a preview branch, runs your test suite with run_code, ships a Vercel deploy with vercel_deploy, and posts the preview URL back into your team chat with send_message. The whole loop runs inside your infrastructure, so the agent never ships a deploy with a secret it should not have seen. Hooks fire on pull request open, on commit push, and on incident tag, so the agent shows up exactly when the team needs it and stays quiet the rest of the time.

Pain. Internal knowledge is scattered across Notion, Slack, and people's heads, and the people who hold the answers are the same people who keep leaving for vacation.

Solution. Tangison Agent indexes your docs with fetch_url on a nightly schedule, answers questions in Slack via the send_message skill, and writes the answer back to a wiki page with read_write_files so the next person who asks gets a citation instead of a shrug. The index lives in a SQLite file on your server, so search latency is single-digit milliseconds and nothing about your internal knowledge base is shipped to a third party. The agent can be scoped per channel, so the finance channel sees finance docs and the engineering channel sees engineering docs.

Pain. Multi-step messaging chains across WhatsApp and Telegram need branching on customer response, retries on delivery failure, and an audit trail the compliance team will actually accept.

Solution. Tangison Agent orchestrates the whole chain as a sequence of skill calls. The planner lays out the steps, the dispatcher routes each step to the right channel adapter, and the executor retries on transient failure with exponential backoff. Branching happens on the customer's reply, which the agent parses and routes to the right next step. Every message sent, every retry, and every branch decision is written to the audit log with a timestamp and a skill call ID, so when a customer asks what happened, you can show them.