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AI

AI Agents for Low-Leverage Tasks

Agents that eat the boring parts of the day — research briefs, ad copy first drafts, lead enrichment, weekly recaps.

Year

2025–2026

Role

Builder, operator

Status

● Live

Case · 03 / 05In Production

AI

The agent does it. We approve.

4Agents in production
0Customer-facing mistakes
~8 hrsSaved per week
(01)The outcome

4

Agents in production

0

Customer-facing mistakes

~8 hrs

Saved per week

(02)The problem

What was
broken.

Half the team's day was research, copy first drafts, lead enrichment, and weekly recap reports. High volume, low leverage, hard to delegate to humans without quality decay.

(03)The build

What I
shipped.

  1. 01

    Identified 4 task patterns the team did weekly that fit agent patterns (not all of them did).

  2. 02

    Built each agent with explicit guardrails — context window, tools, escalation paths.

  3. 03

    Human-in-the-loop approval for anything customer-facing. No silent autonomy.

  4. 04

    Set up logging so every agent action is auditable end-to-end.

  5. 05

    Iterated weekly based on what the agent got wrong, not what it got right.

/result

The agent drafts. We approve. The agent ships.

(04)Proof
Add screenshots & demos
◇ image · 16/9

AI Agents for Low-Leverage Tasks · main view

The primary screen — what users see when they open the ai system. 16:9, PNG or WebP, around 2400px wide.

◇ image · 4/3

Detail / workflow shot

A specific feature or workflow up close.

▶ video · 4/3

30–60s walkthrough

Loom, screen capture, or MP4 showing it running.

◇ image · 4/5

Secondary view

Mobile, dashboard, or alternate screen.

◇ image · 4/5

Before / after

The mess before vs. the clean version.

◇ image · 4/5

Extra detail

Anything that adds context.

(05)Stack on this one
Claude APIOpenAIn8nVector retrieval
Get in touch

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operator?

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Response window

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