Tools · AI-built, strategy-led

Judgment,encoded.

Three tools, one for each step of how I actually run brand work: diagnose, architect, execute. Each tests whether that piece of strategic judgment can be encoded and run at scale. A fourth runs on its own: a competitive intelligence agent that publishes a fresh brief here every week.

Live tools

01

Brand Intelligence Toolkit

A structured audit tool for homepage clarity, positioning, differentiation, trust, and conversion, built on an explicit strategic rubric. I built this to test whether a defensible brand framework could be encoded and run at scale.
Extracts headings, claims, proof points, and CTAs · scores against eight strategic categories · outputs a prioritized, executive-ready action plan.
Run it →View on GitHub →
See a real run — audited against this homepage+
Average score: 8.0 / 10
Conversion
9/10

"The single, low-friction CTA 'Book a 30-min conversation' is repeated consistently at the top, middle, and bottom of the page."

Proof strength
9/10

"Claims are backed by specific figures like '$0 to $174.5M in marketing-sourced pipeline,' '70x revenue growth in 35 months,' tied to named companies, not vague adjectives."

Positioning
8/10

"The site explicitly splits into two buyer paths, 'For hiring teams' and 'For founders,' and frames the work as happening 'at the zero-to-one moment. Before the category exists.'"

Top action item

Add a one-line qualifier under each path so a visitor can sharpen exactly which CTA applies to them before clicking.

This is a real run. Conversion jumped from 6 to 9 after I acted on the previous round's feedback — the score moves as the site does.
Built for
Homepage & positioning audits
Output
Eight-category strategic scorecard + action plan
02

Category Thesis Generator

Give it a product and its closest competitors, and it generates two or three distinct category theses, each a different strategic bet with what it wins, what it costs, and who it puts you up against. Built to test whether category-creation judgment could be encoded the same way the audit rubric was.
Reads the product & competitive set · diverges into 2–3 distinct framings · flags the strongest overall bet with honest tradeoffs on every option.
Run it →View on GitHub →
See a real run — framing my own candidacy+
Product: a fractional brand & narrative strategist positioning for VP/CMO roles and select consulting. Competitors: open VP of Brand/CMO headcount, brand and design agencies, generic branding consultants.
Recommended
Fractional executive seat
"We sell the VP of Brand seat itself, priced and scoped against the headcount the company was about to open."
Benefits: the comparison is concrete and financial: a CEO can put the cost of a full-time hire next to the cost of this engagement and decide in one meeting. Risks: fractional work gets read as a stopgap, which caps the price and invites the question of when the "real" hire happens.
Category design authority
"We sell the strategic authority to define how the company is understood in the market, priced at principal-level strategy rates tied to the shift in perception it produces."
Benefits: escapes the fractional-headcount price ceiling entirely and lets the engagement be billed as high-stakes strategic work rather than discounted labor. Risks: requires the buyer to already believe narrative is a strategic lever worth paying principal rates for, which is a smaller and harder-to-find buyer than one with an open req.
This is a real run, using my own positioning as the test case.
Built for
Positioning & category strategy
Output
2–3 category theses with tradeoffs + recommendation
03

Technical-to-Buyer Translator

Describe what a product technically does and list the buyers who need to understand it. It holds one core technical fact constant, then translates it into value-prop copy for each buyer, in their language, without losing what's actually true. The same move behind the Ekso Bionics case study: one brand spine, two buyer narratives.
Fixes the core technical claim · writes a distinct headline & value prop per buyer · flags the real risk of overclaiming in each translation.
Run it →View on GitHub →
See a real run — translated for my own offerings+
Fact held constant: the work only turns capability and proof that already exists inside a company into clearer language and systems. It never fabricates a claim or invents evidence.
For marketing executive recruiters
"Place candidates who won't blow up a client's credibility."
"When you place a marketing exec, you're staking your reputation on what they'll say publicly on a client's behalf. Ashley's approach only sharpens language around capability that's already verified inside the company, so the claims that go out the door can survive a client's legal review or a journalist's fact-check."
For founders
"Sound as strong as what you've actually built."
"Investors and customers test your claims the moment you make them, and a gap between what you say and what you can prove kills deals fast. This work takes what's real in your company right now and makes it land clearly, so your pitch holds up under diligence instead of falling apart."
This is a real run, using my own positioning as the test case.
Built for
Multi-audience messaging
Output
Per-buyer headline + copy anchored to one fixed fact

Live agent

04

Competitive Intelligence Agent

Every Monday it checks the six biggest consumer health wearable brands, compares what they say against last week, and publishes the brief below. Nobody prompts it. It decides what changed, what matters strategically, and which battlecard line each change would rewrite.
Reads homepages, product pages & newsrooms · compares against last week's snapshot · filters out noise · flags health and medical claims · publishes here.
Live · updates weeklyLatest brief
The latest brief loads here.
Runs
Every Monday, 7:52am PT, unattended
Watching
Oura · WHOOP · Apple · Samsung · Google · Garmin
Output
Weekly brief, claims watch & dated snapshot archive

Documented systems

01

CalmWave AI Workflow Suite

A governed suite of eight specialized tools, built and run in production for two years, covering research, strategy, brand governance, execution, and analytics. Retired and documented as a portfolio case study, not a live tool.
Eight role-specific specialists · four functional layers · explicit governance, evaluation, and escalation frameworks · human-in-the-loop by design.
View the system →
Built for
Marketing operations at CalmWave
Output
6 users, hundreds of hours saved over 2 years

The next one's already taking shape.

Book a 30-min conversation
ashleylynnpola@gmail.com
linkedin.com/in/ashleypola

FAQ

What do these tools actually do?+
Each one applies a specific piece of strategic judgment I use in client work — auditing a homepage, generating category positioning options, or translating a technical fact for different buyers — as a repeatable, structured tool instead of a one-off consulting exercise.
Are they free to use?+
Yes, they're free to run. They're built on paid AI infrastructure on my end, so if traffic ever outpaces what that supports, I'll note it here, but there's no cost or account required to use any of them today.
How accurate are the outputs?+
Treat them as a strong first draft. Each tool is built with explicit rubrics and guardrails to keep output grounded rather than generic, but strategic judgment calls still benefit from a human read before you act on them.
Can I use these for my own company?+
Yes, they're public and free to run on any product or homepage. If one is useful in your actual work, that's exactly what it's for.
What's the tech behind them?+
Each tool is a small Next.js app calling the Anthropic API on the backend, with the strategic logic — the rubric, the prompt structure, the guardrails — written by me. The code for each is linked from its card above.