Use Cases

Same tool.
Different superpowers.

Toggle gives your AI agent full context of your browser activity. What that unlocks depends on how you work. Pick your role.

Freelancers who bill accurately without tracking anything

You hop between clients all day. Proposals, feedback rounds, revisions. At the end of the week you have no idea where 40 hours went. Toggle watches your browser and structures everything by client and project — so invoicing takes 2 minutes, not 2 hours.

12h
Saved / week
0
Manual timers
98%
Billing accuracy
A typical TuesdayToggle tracking
9:12Gmail — client feedback thread, Acme rebrandsession
9:38Figma — logo explorations v3, Acme projectdeep work
11:15Google Docs — proposal draft, NovaTech onboardingdeep work
13:02Notion — weekly task board, moved 2 itemssession
14:30Google Sheets — Q1 invoice, NovaTech hourssession
⏱️

Generate a weekly timesheet by client

Friday afternoon · invoice time
You ask
You say
"Break down my hours this week by client."
Toggle responds
This week you worked 32.4 hours across 3 clients:

Acme rebrand — 14.2h (Figma 9h, Gmail 3.1h, Slack 2.1h)
NovaTech onboarding — 11.8h (Google Docs 6.4h, Sheets 3.2h, Notion 2.2h)
Internal / unbillable — 6.4h (admin, invoicing, breaks)

Want me to format this as an invoice-ready breakdown?
Replaces ~45 min of manual time reconstruction
📊

Catch scope creep before it kills your margins

Automated · stale project nudge
Autopilot
No prompt needed
Toggle notices you've spent 22 hours on a project scoped for 15.
Toggle alerts you
Heads up — Acme rebrand has hit 22.1 hours this week. The original scope was 15h.

Most of the overage is in Figma (extra 4h on logo explorations) and Gmail (2.5h in revision threads).

You might want to flag this with the client before the next round of revisions.
Catches unbilled overages before they stack up
📝

Write a proposal with built-in time estimates

New client inquiry · scoping
You ask
You say
"Based on my past projects, how long would a brand identity package take? I need realistic estimates."
Toggle responds
Based on your last 3 brand identity projects:

Logo design: avg 8.5h (range: 6–12h depending on revision rounds)
Brand guidelines doc: avg 4.2h
Client communication: avg 3.8h per project
Total estimate: 16–20 hours

Your Acme project ran over because of 4 extra revision rounds. If you cap revisions at 2, you're safe at 16h.
Proposals backed by actual data, not guesses

Automate the busywork Toggle found for you

After 2 weeks of data · automation review
You ask
You say
"What repetitive work am I doing that we could automate? Show me the patterns."
Toggle responds
I found 4 patterns worth automating. Here's what you've been doing manually:

1. Friday invoicing — Every Friday you spend ~50 min in Google Sheets rebuilding your hours by client from memory. I already have this data structured. Automation: I generate a draft invoice breakdown every Friday at 4 PM and drop it in your DMs.

2. Client status emails — You write a progress update to each client every Monday (~35 min across Gmail). It's always the same format: what you did, what's next, blockers. Automation: I draft per-client updates every Monday at 9 AM based on last week's activity. You just review and send.

3. Scope tracking — You manually check hours vs. scope in Sheets before every client call. Automation: I alert you the moment any project crosses 80% of scoped hours.

4. End-of-day journaling — You spend 10 min writing in Notion what you worked on. Automation: I write the entry for you at 6 PM with full detail.

Combined, that's ~8 hours/week back. Want me to set these up?
8 hours/week of manual work → fully automated

Developers who never write another standup manually

You write code all day but spend 15 minutes every morning trying to remember what you shipped yesterday. Toggle tracks your GitHub, VS Code, docs, and Slack — so your standup writes itself.

10h
Saved / week
0
Standup prep
Fewer context switches
A typical WednesdayToggle tracking
9:15GitHub — reviewed PR #312, left 3 commentssession
9:45VS Code — auth service refactor, 4 files changeddeep work
12:10Stack Overflow — JWT token refresh patternssession
13:30Notion — sprint board, moved 2 tickets to donesession
14:15Slack — #backend thread, discussing API rate limitscontext switch
📋

Auto-generate your daily standup

Every morning at 9 AM · automated
Autopilot
No prompt needed
Toggle sends your daily digest, formatted as a standup update.
Dropped in your DMs at 9 AM
Yesterday:
→ Merged auth service refactor (PR #310) — 2.5h deep work
→ Reviewed 2 PRs on payments repo, approved 1
→ Updated sprint board — moved 3 tickets to done

Today:
→ PR #312 still needs your review (opened yesterday)
→ JWT token refresh is mid-flow — you stopped at the retry logic

Blockers: none detected
Replaces 15 min of morning standup prep, every day
🧠

Get pulled back into focus when you're drifting

Real-time · focus score alert
Autopilot
No prompt needed
Toggle detects 6 tab switches in 15 minutes, focus score drops to 22%.
Toggle alerts you
You've been context-switching for 15 minutes — focus score: 22%.

Your last deep session was auth service refactor at 11:45 AM. You were in the JWT retry logic, about 80% through the implementation.

Want me to help you close the noise and pick up where you left off?
Recovers ~2 hours of lost focus per week

Pick up exactly where you left off

Monday morning · returning to work
You ask
You say
"What was I working on Friday? Help me get back into it."
Toggle responds
Friday afternoon you were deep in the payments webhook handler — 1.8h across 2 sessions. You had the retry logic working but left the idempotency check incomplete (last file: webhook-handler.ts:142).

You also had an open PR (#308) that got 2 review comments you haven't addressed yet.

Want me to pull up those files and the PR?
Eliminates the 20-minute "where was I?" ramp-up

Automate the busywork Toggle found for you

After 2 weeks of data · automation review
You ask
You say
"What repetitive workflows am I doing that could be automated?"
Toggle responds
Found 4 automatable patterns in your last 2 weeks:

1. Standup updates — You spend 15 min every morning summarizing yesterday's work for Slack. I already have all the data. Automation: I post your standup to #backend at 9:15 AM every morning. Already set up.

2. PR review reminders — You check GitHub for open PRs assigned to you 3–4× per day (~20 min total). Automation: I alert you once when a new PR needs your review, with file count and priority.

3. Sprint board cleanup — Every Friday you spend ~30 min moving tickets in Notion and updating status. It's always the same: match what you actually worked on to the board. Automation: I update ticket statuses Friday at 5 PM based on your actual activity.

4. Context recovery — Every Monday and after lunch you spend 10–15 min figuring out where you left off. Automation: I drop a "pick up here" message with file, line number, and next steps when you open VS Code after a break longer than 2 hours.

Total: ~6 hours/week of dev workflow overhead eliminated. Want me to activate all four?
6 hours/week of dev overhead → fully automated

PMs who never miss a dropped ball

You're in 6 tools at once — Notion, Slack, email, docs, spreadsheets. Stuff falls through the cracks because there's too much to track. Toggle watches everything and tells you what stalled, what's overdue, and what needs your attention — before anyone has to ask.

14h
Saved / week
0
Missed deadlines
6
Tools tracked
A typical ThursdayToggle tracking
8:45Slack — #product standup, flagged 2 blockerssession
9:20Notion — sprint board, reassigned 3 ticketsdeep work
10:45Google Docs — PRD for search feature, v2 draftdeep work
13:15Gmail — stakeholder update thread, Q1 roadmapsession
14:30Sheets — sprint velocity tracker, updated metricssession
⚠️

Get alerted when a project goes cold

Automated · stale project nudge
Autopilot
No prompt needed
Toggle notices the search feature PRD hasn't been touched in 3 days.
Toggle alerts you
Heads up — Search feature PRD has been idle for 3 days.

Last session: Monday, 1h 40m. You were writing the edge cases section and had open comments from engineering.

The sprint planning meeting is tomorrow. Want me to pull up where you left off so you can close it out?
Catches stale work before it blocks the team
📧

Prep a stakeholder update in 30 seconds

End of week · reporting
You ask
You say
"Write me a weekly status update for the leadership team. Keep it to 5 bullet points."
Toggle responds
Based on your activity this week:

Search feature PRD is 90% complete — pending eng review of edge cases
→ Sprint velocity is up 12% from last week (8 tickets closed vs 6)
Onboarding flow redesign kicked off — initial Figma wireframes in progress
→ Blocked: API rate limit issue waiting on backend team (flagged Monday)
→ Next week: sprint planning Monday, user research sessions Wed/Thu
Replaces 30+ min of gathering updates from 6 tools
🎯

Prep for meetings with full context

Before a sync · meeting prep
You ask
You say
"I have a product sync in 10 minutes. What do I need to know?"
Toggle responds
Here's your context for the product sync:

What you worked on since the last sync: Search PRD (4.2h), sprint board management (1.8h), stakeholder emails (1.1h)

Open items: eng comments on PRD edge cases (unresolved), API rate limit blocker (still open), onboarding wireframes (waiting on design feedback)

Decisions needed: Search scope — full-text vs fuzzy matching. You were leaning toward fuzzy based on your notes from Tuesday.
Walk into every meeting fully prepared

Automate the busywork Toggle found for you

After 2 weeks of data · automation review
You ask
You say
"What repetitive PM work am I doing that could be automated?"
Toggle responds
Found 5 patterns that are eating your calendar:

1. Meeting prep — You spend 15–20 min before every sync gathering context across Notion, Slack, and Docs. You have 8 syncs per week. Automation: I drop a context brief into your DMs 10 minutes before every meeting with open items, recent activity, and decisions needed.

2. Weekly status email — Every Friday, ~45 min writing the leadership update. Same format every time. Automation: I draft it Friday at 3 PM. You review and send.

3. Sprint board grooming — You spend 1h/week reconciling what actually happened with ticket statuses. Automation: I flag mismatches daily — tickets marked "in progress" with no activity for 48h, or done work with no ticket moved.

4. Blocker detection — You find out about blockers in standup, 12–24h after they happen. Automation: I alert you within 2 hours when someone's deep work session ends abruptly and they switch to Slack/Stack Overflow — probable blocker.

5. Stakeholder question answering — You get the same "where are we on X?" questions 3–4× per week across Slack and email. Automation: I maintain a live project status dashboard you can link to. Auto-updated hourly.

Total: ~10 hours/week of PM overhead automated. Want me to set these up?
10 hours/week of PM coordination → fully automated

Founders who see where their week actually went

You're doing product, sales, hiring, ops, and support all in one day. By Friday you feel like you did everything and nothing. Toggle gives you a clear audit of where your time went — so you can stop doing $20/hr work and focus on what only you can do.

15h
Saved / week
5
Roles tracked
100%
Visibility
A typical MondayToggle tracking
7:30Gmail — investor update draft, monthly metricsdeep work
9:00Notion — product roadmap, Q2 prioritiesdeep work
10:30LinkedIn — outreach messages, 3 sales leadssession
11:45Slack — team channel, answered 8 questionscontext switch
14:00Google Docs — hiring scorecard, eng candidatesession
📊

Find out where your week actually went

Friday evening · weekly review
You ask
You say
"Break down my week by category: product, sales, ops, hiring, and reactive work."
Toggle responds
Your week (41.2h total):

Product: 12.4h (30%) — roadmap, PRD writing, design reviews
Sales: 8.1h (20%) — outreach, demo calls, proposals
Reactive / Slack: 9.8h (24%) — answering team questions, unplanned fires
Ops: 6.2h (15%) — invoicing, vendor calls, legal
Hiring: 4.7h (11%) — scorecards, interviews, pipeline review

24% reactive work is high. Last week it was 18%. The spike was mostly Slack — you answered 47 messages that could have been handled by your team leads.
Makes invisible time sinks visible
✉️

Write your investor update in 2 minutes

End of month · reporting
You ask
You say
"Draft a monthly investor update based on what I've been working on. Include wins, challenges, and what's next."
Toggle responds
Wins: Shipped search feature (14h of deep work over 2 weeks), closed 2 new enterprise leads, hired senior backend eng.

Challenges: Onboarding churn is still high — you spent 8h this month on support tickets that should be self-serve. API stability issues cost ~6h of reactive firefighting.

Next month: Based on your roadmap sessions: self-serve onboarding revamp, payment provider migration, Series A deck prep.

Want me to polish this into a send-ready email?
Turns a 2-hour chore into a 2-minute conversation
🔥

Detect patterns you should delegate

After 7 days · pattern detection
Autopilot
You say
"What am I doing repeatedly that I should probably hand off to someone else?"
Toggle responds
Three patterns I'd flag:

1. Slack triage — You spend avg 1.8h/day answering team questions. 60% of these are from 2 channels (#support, #ops) and could be routed to your team leads.

2. Invoice review — Every Monday you spend ~45 min in Google Sheets reviewing invoices. This is a bookkeeper task.

3. Scheduling — You spent 2.3h this week going back and forth on meeting times across Gmail and Slack. A scheduling tool would eliminate this.
Finds the work you shouldn't be doing

Automate the busywork Toggle found for you

After 2 weeks of data · automation review
You ask
You say
"Set up every automation you can based on my patterns. I want to reclaim as many hours as possible."
Toggle responds
Here's everything I can automate based on your last 3 weeks:

1. Investor update draft — You spend 2h/month reconstructing what happened. Automation: I compile a running draft all month, organized by wins/challenges/next. You just polish and send on the 1st.

2. Weekly time audit — You manually categorize your time every Friday. Automation: I send your product/sales/ops/hiring/reactive breakdown every Friday at 5 PM with week-over-week trends.

3. Slack triage routing — 60% of your Slack responses are questions your team leads could answer. Automation: I flag which messages are "founder-only" vs. delegatable, and draft suggested responses for the ones you should handle.

4. Meeting prep briefs — You context-switch hard before every meeting. Automation: 10-minute-before brief with everything relevant from the last week — what you discussed, what's changed, what's pending.

5. Hiring pipeline summary — You check the hiring doc 2× per day for updates. Automation: I send a daily digest at 8 AM — new applicants, interview feedback, pipeline movement.

6. End-of-day debriefAutomation: I send a 6 PM summary of what you accomplished, what's still open, and what needs attention tomorrow.

Total: ~12 hours/week back. Setting up all six now.
12 hours/week of founder overhead → fully automated

Sales reps who close more by remembering everything

You're juggling 30+ prospects across email, LinkedIn, CRM, and call notes. Half the battle is remembering where each deal stands. Toggle tracks every touchpoint so you walk into every call fully prepped — and never let a warm lead go cold.

11h
Saved / week
0
Forgotten follow-ups
30+
Deals tracked
A typical TuesdayToggle tracking
8:30Gmail — follow-up thread, Meridian dealsession
9:15HubSpot — updated pipeline, moved 2 deals to proposalsession
10:00Google Docs — custom proposal for Apex Corpdeep work
11:30LinkedIn — 5 outreach messages, tech sector leadssession
14:00Notion — call notes, Meridian discovery calldeep work
📞

Prep for a sales call in 60 seconds

5 minutes before a call · meeting prep
You ask
You say
"I have a call with Meridian in 5 minutes. What's the full context?"
Toggle responds
Here's everything on Meridian:

Last touchpoint: Discovery call on Thursday — they're evaluating 2 competitors, main concern is onboarding speed. Your call notes mention their VP of Ops wants a pilot by March.

Email thread: You sent a follow-up Friday with the ROI calculator. They opened it twice but haven't replied.

Proposal status: You started a custom proposal Monday (Google Docs, 40 min) — it's about 60% done. Pricing section is blank.

Deal value: $48k ARR, currently in "Proposal" stage in HubSpot.
Walk into every call like you just reviewed the entire deal file
🔔

Never let a warm lead go cold

Automated · stale deal nudge
Autopilot
No prompt needed
Toggle notices you haven't touched the Apex Corp deal in 5 days.
Toggle alerts you
Apex Corp is going cold — no activity in 5 days.

Last action: You sent the custom proposal on Thursday. They haven't responded and you haven't followed up.

This deal is worth $36k ARR and was moving fast before the gap. Their eval deadline is end of month.

Want me to draft a follow-up email that references where you left off?
Saves deals that would have slipped through the cracks
📈

See your actual pipeline activity vs. busywork

Weekly review · pipeline audit
You ask
You say
"How much of my time this week was actual selling vs. admin?"
Toggle responds
This week (38.6h total):

Active selling: 21.4h (55%) — calls, proposals, outreach, follow-ups
CRM admin: 7.2h (19%) — updating HubSpot, logging notes, pipeline grooming
Internal: 6.8h (18%) — team syncs, forecasting, Slack
Research: 3.2h (8%) — competitor analysis, prospect research

Your selling time is up from 48% last week. The CRM admin is still high — you spent 3h just updating deal stages and logging call notes. That could be automated.
Maximize time selling, minimize time logging

Automate the busywork Toggle found for you

After 2 weeks of data · automation review
You ask
You say
"What's eating my selling time? Automate everything you can."
Toggle responds
Found 5 time sinks I can eliminate:

1. CRM logging — You spend 45 min/day updating HubSpot after calls and emails. Automation: I log every touchpoint automatically — emails sent, call duration, proposal views, deal stage changes. Your CRM stays current without you touching it.

2. Follow-up emails — You draft 6–8 follow-ups per week, usually referencing the last conversation. ~40 min total. Automation: I draft personalized follow-ups based on the last touchpoint and deal context. You review and hit send.

3. Pre-call research — You spend 10 min before each call reviewing emails and notes. 5 calls/day = 50 min. Automation: I drop a deal context brief 5 minutes before every scheduled call.

4. Pipeline review prep — You spend 1h every Monday prepping for the pipeline review meeting. Automation: I generate the full pipeline status with deal movement, stale deals, and win probability changes every Monday at 8 AM.

5. Cold lead reactivation — Warm leads from 2–3 weeks ago go untouched because new ones take priority. Automation: I queue up stale warm leads every morning with a suggested re-engagement message based on the last interaction.

Total: ~8 hours/week of sales admin eliminated. More time closing, less time logging. Activate?
8 hours/week of sales admin → fully automated

Marketers who ship more and report less

You're running campaigns across 8 platforms, writing content, reviewing analytics, and coordinating with design and product. Half your week is spent reporting on what you did instead of doing it. Toggle builds the reports from your actual activity — so you can focus on the work that moves numbers.

13h
Saved / week
8
Platforms tracked
100%
Activity captured
A typical WednesdayToggle tracking
8:45Google Analytics — checking campaign performance, Q1 pushsession
9:30Google Docs — blog post draft, "2026 industry trends"deep work
11:20Figma — reviewing ad creatives with design teamsession
13:00HubSpot — email sequence setup, webinar promodeep work
15:15Slack — #marketing channel, aligning on launch copycontext switch
📊

Generate a weekly marketing activity report

Friday afternoon · reporting
You ask
You say
"Summarize everything the marketing team shipped this week. Group by channel."
Toggle responds
This week's marketing output:

Content: Published 2 blog posts (5.8h writing + editing), drafted webinar landing page
Email: Built 3-part nurture sequence for webinar promo (2.4h in HubSpot), sent Tuesday newsletter
Paid: Reviewed and approved 4 ad creatives in Figma, updated targeting on LinkedIn campaign
Analytics: 3.1h in GA and HubSpot dashboards — mostly monitoring Q1 push performance
Coordination: 4.2h in Slack and meetings — launch copy alignment, design reviews

Coordination took 4.2h — up from 2.8h last week. Most of it was the launch copy back-and-forth in Slack.
Replaces 1+ hour of gathering updates into a report
⚠️

Catch campaigns that stall before they miss deadlines

Automated · stale project nudge
Autopilot
No prompt needed
Toggle notices the webinar landing page hasn't been touched in 4 days. Launch is next week.
Toggle alerts you
Heads up — Webinar landing page has been idle since Monday.

Last session: 50 minutes in Google Docs, you finished the hero copy but the registration form and speaker bios are still blank.

The webinar is next Thursday and the email promo sequence is already built — it's pointing to this page. You probably need this done by Tuesday to give the promo 2 days to run.

Want me to pull up where you left off?
Prevents missed launch deadlines
🧩

Figure out what content is actually worth your time

Monthly review · content strategy
You ask
You say
"How much time am I spending on each content type? Blog posts vs. email vs. social vs. landing pages."
Toggle responds
Last 30 days of content work (62.4h total):

Blog posts: 24.1h (39%) — avg 4.8h per post, 5 posts published
Email campaigns: 14.6h (23%) — sequences, newsletters, A/B tests
Landing pages: 12.8h (21%) — webinar page, product update page, pricing test
Social: 10.9h (17%) — LinkedIn posts, Twitter threads, scheduling

Blog posts take the most time but your last 3 got 2× the traffic of landing pages. Social is 17% of effort but drives only 4% of signups based on your GA sessions.

Might be worth shifting some social time to blog or email.
Data-driven content strategy instead of gut feeling

Automate the busywork Toggle found for you

After 2 weeks of data · automation review
You ask
You say
"What marketing busywork can you automate based on my patterns?"
Toggle responds
Found 5 patterns burning hours every week:

1. Weekly activity report — You spend 1h+ every Friday compiling what the team shipped across channels. Automation: I generate the full report by channel every Friday at 3 PM — content published, emails sent, campaigns launched, hours by activity.

2. Campaign deadline tracking — You manually check project status across Notion and Docs before every standup. Automation: I send a daily morning brief with every campaign's status, days until deadline, and what's at risk of slipping.

3. Content performance check-ins — You open GA 4–5× per day to check how the latest post or campaign is doing. ~30 min/day. Automation: I send a single daily digest at noon with performance highlights — what's trending up, what's underperforming, what needs a boost.

4. Cross-team alignment — You spend 3h/week in Slack threads aligning copy, designs, and launch timing with other teams. Automation: I maintain a shared launch tracker that auto-updates when anyone on the team works on a campaign asset. Fewer "where are we on this?" messages.

5. Monthly content audit — You spend half a day every month tallying content output, time-per-piece, and channel allocation. Automation: I maintain a running monthly dashboard and send the final audit on the last day of the month.

Total: ~9 hours/week of marketing ops automated. Want me to activate all five?
9 hours/week of marketing ops → fully automated

Ready to see what Toggle finds in your workflow?

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