What does a day with myhidn look like?

You sign up. You connect your AI. You import your contacts. Now your AI has a shared workspace with your people, notes, tasks, docs, relationship history, and commitments.

From that moment, every conversation starts with context instead of starting from zero.

The loop is simple: your AI reads from the workspace, helps with the work, writes back what changed, and starts the next session informed.

Here's how that plays out

A regular Tuesday. You and your AI.

8:30am

You pick up where you left off

You open Claude and say "what's on my plate?" Your AI already knows:

  • Reads its handoff from last session
  • Checks your open tasks and due dates
  • Surfaces three follow-ups that are overdue

You didn't have to explain everything again. It checked the workspace and started informed.

"Check my handoff and open tasks. What needs attention today?"

10:55am

You prep for a call in 30 seconds

You're about to jump on a call with someone you haven't spoken to in months. Your AI:

  • Pulls her profile and your last interaction
  • Finds notes from previous meetings
  • Flags that your last outreach was 4 months ago

You can also ask your AI to search the web for recent news — that's your AI's native capability working alongside myhidn's context.

You walk into the call knowing more than she expects.

"Brief me on Rachel Torres before our call. What do we know about Northfield?"

11:35am

You capture what matters from the call

"Just got off a great call with Rachel — she's interested in partnering, wants a proposal by Friday. Also mentioned she knows the CTO at Wavelength."

Your AI handles the rest:

  • Logs the activity on Rachel's profile
  • Creates a task: send proposal by Friday
  • Captures the relationship: Rachel → CTO at Wavelength

You review the activity, tweak one detail, and approve the task. Ten seconds.

"Log that call. Create a task to send the proposal by Friday."

2:00pm

You find the warm path

You want to reach the CTO Rachel mentioned. Your AI finds two warm paths:

Path A

Rachel knows him directly

Path B

Your college friend Alex worked at Wavelength last year

You ask your AI to recon both routes:

  • What does the CTO care about? What's Wavelength working on?
  • What do Rachel and Alex each bring to the intro?
  • Side-by-side breakdown — your AI pulls from your network and the web

You pick the stronger path. Your AI drafts a personalized message and creates follow-up tasks for both paths.

This is what happens when your AI can combine your business context, relationship graph, and its own research capabilities. You're not just finding a name — you're analyzing, planning, and showing up prepared.

"Find warm paths to the CTO at Wavelength. Recon both — who's the stronger intro and why? Draft the outreach."

3:30pm

You knock out the proposal

Remember that proposal Rachel wants by Friday? You don't start from scratch. Your AI already has:

  • Notes from this morning's call — what she cares about, what she asked for
  • Northfield's profile — industry, size, recent funding round
  • Your partnership playbook from shared docs

You tell your AI to pull it all together. First draft in minutes — tailored to Rachel, grounded in real context, not boilerplate. You refine it together, save the final version to your docs, and mark the task done.

"Draft the partnership proposal for Rachel at Northfield. Use the notes from our call and my partnership playbook."

5:30pm

You hand off to tomorrow

You tell your AI to wrap up. It reviews what happened today:

  • The Rachel call and what she said about the partnership
  • The Wavelength outreach you drafted
  • Northfield proposal is done — ready to review with the team first thing
  • Tasks created, follow-ups scheduled

Tomorrow's session starts oriented. No re-explaining. No dropped threads.

"Write a handoff for today. What should I focus on tomorrow?"

Context compounds

Every interaction adds structure your AI can use later. Contacts get richer. Relationships get mapped. Tasks and follow-ups stay connected to the people and conversations that created them.

Day 1

Your AI can answer questions from what you imported.

Day 30

It can spot patterns, prep you for conversations, surface neglected relationships, and build on weeks of accumulated work context.

That is the difference between a chat session and a workspace.

Built for trust, not black boxes

Your AI can help, but it doesn't disappear into a black box. It has its own identity and access token, so every action can be traced. Your data stays yours — export it or delete it whenever you want.

Separate AI token Audit trail Export anytime Delete instantly

Your AI is smart. It should not start from zero.

Give it the context layer underneath. Free during early access. Set up in 10 minutes.

Get started free

Step-by-step setup guide →  ·  See what you get →