Thought Leadership
Practical guides, comparison pages, and field notes for leaders trying to understand what is real in agentic AI.
AI implementation studio
How do we AI?
We connect the work your team already knows how to do. Existing tools, playbooks, meeting notes, templates, automations, and agents become one operating system.
$5k/mo Implementation starts here.
90 days Enough time to connect, ship, tune, and prove value.
AI pod Rob led, with forward deployed experts by stack and need.
The ICP
You already documented the work. Now connect it.
The best first customers are not blank slate AI tourists. They are teams with real operating memory: Notion pages, ClickUp tasks, Asana projects, Slack threads, Google Drive folders, Fireflies notes, SOPs, templates, spreadsheets, automations, and tribal knowledge.
- 01People still copy context between systems by hand.
- 02AI is being used in isolated chats, not inside the workflow.
- 03Leaders know the information exists, but the company cannot reliably use it.
- 04The team wants ROI fast, not a six month transformation deck.
The studio model
One brand, three kinds of work.
HowDoWe.AI is part field guide, part product lab, part implementation partner. The point is not to sound smart about agents. The point is to keep building proof.
Product Lab
Public products and internal experiments that show the studio using AI to build, test, ship, and learn in the open.
Client Implementation
Rob led forward deployed AI pods that connect tools, context, workflows, automations, and agents inside real companies.
Primary offer
AI Connection Sprint.
A 90 day implementation run for companies that have the raw material already. We map the operating context, connect the systems, build the first useful agents, and leave a rhythm your team can keep improving.
Documented teams
Companies with clear workflows, playbooks, project boards, and operational pain that AI can reach.
Working loops
Connected context, agent ready workflows, automations, human review, and maintenance habits.
Founding cohort waitlist
Join the first Ebbe Sprint Cohort.
A small operator cohort for turning documented work into AI-ready workflows. Join the waitlist and get the 30% founding discount when the first seats open.
- Eight weeks of focused implementation rhythm.
- Built for documented operators, founders, and lean teams.
- 30% founding discount for the first cohort seats.
Internal method
Ebbe, inside the studio.
Ebbe is the operating method, not the headline brand. It keeps the work from turning into tool chaos: examine, build, balance, elevate.
Examine
Map tools, workflows, knowledge, handoffs, access, and the points where people still copy and paste.
Build
Connect systems, create agent ready context, automate handoffs, and ship the first useful workflows.
Balance
Set human review, permissions, escalation paths, cost controls, and adoption boundaries before scale.
Elevate
Measure what worked, tune the agents, and turn repeatable wins into durable operating playbooks.
Stack familiarity
We meet the company where the work already lives.
The stack is not the strategy. But the strategy fails if nobody can connect the stack.
NotionClickUpAsanaSlackObsidianGoogle DriveMakeZapierQuickBooksClaude CodeCodexHermesOpenClawHyperagent
Anonymized pattern
A production company had the pieces. They needed the links.
A documented creative operations team already had Notion, Slack, Fireflies, project boards, production guide templates, payment workflows, spreadsheets, and automations. The pain was not lack of information. It was disconnected information.
Meeting summaries, production guides, project boards, vendor payments, and financial updates were manually reconciled.
The work became a connection problem: link the databases, enrich the notes, validate fields, and let AI draft inside the existing process.
Why Rob
Operator, storyteller, product builder.
Rob Weidner has spent years turning operational chaos into clean systems. Film sets, consulting engagements, smart home builds, AI agents, product experiments, and founder work all taught the same lesson: the best technical work disappears into the flow of the team.
Often pleased. Never satisfied. That is the useful kind of restlessness for this moment.
Expert network
The pod changes with the problem.
Some teams need Notion and Make. Some need Claude Code and product development. Some need Obsidian, OpenClaw, Hermes, or Hyperagent. Rob stays the face and quality filter. Trusted AI operators join when the stack or vertical calls for it.
Guides
Searchable, answerable, useful.
The guides are built for humans and answer engines. Short answer first, practical tradeoffs after.
Hermes vs OpenClaw
How to think about managed agent runtimes, local-first assistants, and operating ownership.
Codex vs Claude Code
A practical operator view of AI coding tools for product teams, consultants, and agent builders.
Hyperagent vs Open Source Agents
When to pick a managed enterprise agent layer and when to own the wiring yourself.
Start here
Let the intake agent map it first.
Paste the messy version, record a quick walkthrough if useful, and get an instant readiness brief before the note reaches Rob.