H">๐Ÿคฒ"> Handl โ€” Your tasks, handled.
Overview Opportunity Architecture Join us For employers Let's talk โ†’
For professionals in transition ยท Sprint build ยท 2026

The week everything changes,you shouldn't be alone.

You left a role you spent years in. Now there are fifty things to track, no structure to track them in, and nobody who knows your history well enough to help you tell it. Handl is an agent that learns your career and runs your transition. Not a chatbot you interrogate โ€” something that writes the applications, drafts the outreach, preps the interviews, and remembers the follow-up you owe on Thursday. And when the transition turns into a practice of your own, it keeps going.

Runs on
Claude API
โ€” the engine, not the product. Here's the difference ↓
0
percent of HR leaders who ran or plan
layoffs in 2026
0
percent of employees who recognize the
redeployment programs 77% of HR says it offers
0
million US independents earning $100K+
โ€” up from 4.7 million a year ago
$0
tools that start the week you leave
and stay for the rest of your career
See your tasks, handled โ€” before you read another word.
10 minutes ยท no account ยท live AI responses
Try the Handl demo โ†’
The idea underneath all of it

Own your career.

Your employer owns your email, your calendar, your documents, your title and your access. On your last day, all of it disappears โ€” including the record of what you actually did.

Handl is the part you own. Your history, your relationships, your story, the way you work, and an agent that holds all of it. An employer can pay to start the relationship. They can't see inside it, and they can't end it.

Finding the next job is chapter one. The agent that got you through it is still there for the chapters after โ€” the new role, the consulting work, the thing that comes after that. No employer owns it. No contract ends it. Nobody has to rebuild it.

What Handl is

A worker-owned career agent introduced and funded by the employer at the moment of separation, then carried by the worker into whatever comes next.

What we actually built

Claude is the engine.
It isn't the product.

Every serious AI product runs on somebody's model. What matters is what's built on top โ€” and that's the part we own. Four things Handl does that a general assistant does not.

01 ยท It knows what is true about you

General assistants have memory now โ€” that isn't the difference. Handl builds a confirmed record from your rรฉsumรฉ, your work samples and your own corrections, so every accomplishment it uses traces back to something you verified. Memory is common. Grounded career history is not.

02 ยท It won't invent things about you

Every claim traces to something you confirmed. General tools write plausible-sounding accomplishments โ€” harmless in a draft, serious on a rรฉsumรฉ you send under your own name. Handl asks instead of guessing.

03 ยท It works without being asked

Nobody prompts it about the follow-up due Thursday. It's tracking the search, so it raises it โ€” and drafts the thing before you've decided you need it.

04 ยท You never learn how to ask

This is the one that matters. A general platform can do almost anything, so you have to decide what it should do and how to ask. Handl arrives already built around one job. Nobody in the worst week of their professional life wants to design an AI workflow first.

Where it starts.

Dana's first week.
Day four, and counting.

Dana is 49. Twenty-two years in marketing operations, the last nine at one company, gone on a Tuesday in a restructuring the CEO called "AI-enabled efficiency." Her work email was shut off that morning, taking two decades of relationships with it. She has a rรฉsumรฉ four years out of date and a spreadsheet with six rows in it. She is not short of ability. She is short of structure, momentum, and something that knows her well enough to help.

Day 1 ยท It learns her

She uploads a rรฉsumรฉ and two old work samples. Handl reads twenty-two years of work and hands back what it found โ€” roles, results, the projects worth leading with. She corrects two things. Now it knows her, and she never has to explain herself again.

Day 2 ยท It does the work

She pastes a job posting. Back comes a tailored rรฉsumรฉ and a cover letter built from what she actually did โ€” not invented, not inflated. Twenty minutes instead of an afternoon, and it sounds like her.

Day 4 ยท It remembers

"You told Priya you'd send the deck by Thursday. That's tomorrow โ€” want me to draft it?" Nobody tracks a job search well while they're living through one. Handl does, because it was there for all of it.

Month 6 ยท It changes shape

Two clients found her before a job did. The agent that wrote her applications starts writing her proposals. Same agent, same memory โ€” it just grew into the next thing with her.

Employers already pay for this moment. 87% of HR leaders ran or plan layoffs this year. 77% say they offer redeployment programs; 19% of employees recognize them. The budget exists โ€” what is missing is anything people actually open. That is the gap Handl is built for, and why an employer can fund it while the person keeps it long after.

Eighteen months later.

A Tuesday for Sarah.
Where this ends up.

Dana didn't find another corporate job โ€” she built a consulting practice. The agent that helped her land interviews now prepares her client meetings, remembers her relationships, and drafts her proposals. Same Handl, next chapter. That continuity is the whole point; the scenes below are just what it looks like.

S
Sarah, 41
Marketing consultant · Chicago · Solo practice · Mom to Emma, 9
Her challenge: too much work, not enough time for what actually matters
6:48 Morning 🏠 At home

Sarah has a 9am pitch call with a prospect she scheduled two weeks ago and hasn't thought about since.

Not just research. Competitive intelligence tied to her history.

↑ Beyond basic AI: Handl combines prospect research with Sarah's own past wins and client history to build a brief no generic AI could produce
☀️
Handl, overnight: “Sarah — 9am with Marcus Webb at NorthBridge Partners. They closed a $40M Series B in March, Marcus joined from McKinsey, and their biggest current challenge is building a marketing function from scratch. I cross-referenced this with your past wins: your Meridian Health engagement started almost identically. I've drafted your opening using that framing, and pulled specific language from your Meridian case study that maps directly to what NorthBridge is facing. This isn't generic positioning — it's your positioning, grounded in your actual work.”
Without Handl
45 minutes of Google and LinkedIn fragments. She walks in with the same knowledge any prepared person could have — no connection to her own track record or voice.
45 min
still generic
With Handl
Sarah opens the call referencing a parallel situation from her own history. Marcus says “that's exactly where we are.” She sounds like an insider — because she is one, and Handl helped her prove it.
8 min
to review
ChatGPT could tell me about NorthBridge. Handl told me what NorthBridge means for my business specifically. Those are completely different things.
10:23 Mid-morning 💼 Client work

Marcus asked for a proposal by Friday. Sarah has three other deadlines and a blank page.

Her proposal — not a template with her name on it.

↑ Beyond basic AI: Handl writes in Sarah's established voice using her real pricing logic, her actual deliverable language, and what Marcus specifically said on the call
📝
Sarah: “Draft the NorthBridge proposal. $22K, 3 months, positioning doc, messaging guide, campaign brief.”

Handl: Full proposal using Sarah's voice profile — her sentence structures from past proposals, her specific section headers, her pricing rationale. The “why us” paragraph pulls directly from what Marcus said on the call. This is Sarah's proposal, not a fill-in-the-blank.
Without Handl
3–4 hours adapting an old proposal. Three revision rounds. Still doesn't quite sound like her at her best.
3–4 hrs
still off
With Handl
Sarah reviews, adds two personal touches, sends by 11am. Marcus replies same day: “This is exactly what we needed.” She didn't spend an afternoon on it. It sounds more like her than if she had.
22 min
review + send
It didn't just write a proposal. It wrote my proposal. That's the thing nobody tells you about what a real AI agent can do.
S
Sarah, 41
Marketing consultant · Chicago · Solo practice · Mom to Emma, 9
Her challenge: too much work, not enough time for what actually matters
2:15 Afternoon 🎧 Deep work

Sarah has a 90-minute focus block, 14 unread emails, and three follow-ups she's been avoiding.

Communication that requires knowing the relationship.

↑ Beyond basic AI: Handl knows the history with each contact — tone of the relationship, what was last said, what's been promised — and calibrates accordingly
✉️
Handl, proactively: “Before your focus block — I've drafted the follow-up to Jen at Brightfield. You two have a warm relationship and she's been slow to respond, so I kept it light and left her an easy out if timing is off. For the two overdue invoices: I know you dislike chasing payment directly, so I framed both as ‘checking in on the project closeout’ — which gets the same result without the awkwardness. And the LinkedIn message from David Chen looks like a referral lead — I drafted a response that opens the door without overcommitting your calendar.”
Without Handl
40 minutes calibrating tone from memory. The invoice follow-ups feel awkward because she hasn't found language she's comfortable with. The focus block never really starts.
40 min
plus the dread
With Handl
Sarah approves two messages unchanged, adjusts one, starts her focus block at 2:22pm. The invoice language is better than what she would have written — and she didn't have to think about it.
7 min
everything cleared
The things I dreaded most — chasing invoices, the awkward follow-ups — Handl handles them in a way that feels like me. The guilt is completely gone.
3.8
Hours reclaimed on one Tuesday
Without working longer or faster
0
Follow-ups still sitting undone
Every relationship touched, on her terms
1hr
Reading before bed
The real measure of a day well spent
3.8
Hours reclaimed on one Tuesday
Without working longer or faster
0
Follow-ups still sitting undone
Every relationship touched, on her terms
1hr
Reading before bed
The real measure of a day well spent
Go deeper

Built for the transition.
And everything after it.

Handl is a personal AI agent for independent consultants, fractional executives, and solo professionals. It handles the work around your work โ€” so you can focus on the work that actually needs you.

01 โ€” Market opportunity
Why now. Why this.
The independent professional market, why the timing is right, and how Handl builds defensibility through personal workflow depth โ€” not task templates.
Read the opportunity โ†’
02 โ€” What we're building
Not a chatbot. An action agent.
How the agent learns a career, remembers a search, and grows into a practice. Built on Claude. Full browser control in Phase 2.
See the architecture โ†’
03 โ€” Join us
We need the builders.
Looking for engineers who want to build agentic systems that real people actually trust with real work. Sprint engagement to start.
Meet the team โ†’
04 โ€” For employers
The transition benefit that stays.
Companies fund Handl for departing employees. The agent works through the transition โ€” and employees keep it long after. You pay once. The relationship lasts a career.
See what your people get โ†’
Or just reach out directly โ€”
Send me a note โ†’ Try the Handl demo โ†—