Agentic AI, used intentionally

What is “agentic” AI?

Systems that can reason, plan steps, call tools, and check their own work — guided by clear goals and guardrails.

When we use it

• Research synthesis & opportunity mapping
• Content & deck drafting with brand constraints
• Component inventories & design token extraction
• QA checklists and link/alt-text audits

Our loop (human-in-the-loop)

1. Define goal, constraints, success criteria
2. Plan tasks & tools (sources, brand rules)
3. Act autonomously in bounded steps
4. Verify against criteria; cite sources
5. Ship with a change log & next actions

Guardrails

• No PII in prompts; redact inputs by default
• Sources logged; hallucination checks required
• Human review for any public-facing output

Starter prompts

You are a brand systems assistant. Goal: draft a 1-page brief for [brand].
Constraints: tone=[warm/minimal], palette=[#1F3F2B,#C2A66F], type=[Display/Body].
Steps: 1) list 3 audience truths; 2) propose 3 messaging pillars; 3) output a brief with bullets.
Verify: check for jargon; keep under 180 words.

You are a QA agent. Given this URL/sitemap, return:
a11y issues, missing alt text, heading order, tap targets, contrast flags.
Output: table with severity, location, fix suggestion.

Pricing add-on

Agentic AI support can be added to any package (+$300–$1,200) for research, drafting, and QA.