this is context

Every sales rep knows the feeling. It's 7 PM on a Thursday. You've been in back-to-back calls since 9 AM. Your inbox shows 247 unread messages. Slack has that angry red badge with "99+" notifications. Your CRM is three weeks behind and leadership wants a status sync tomorrow first thing. And somewhere in that digital avalanche is a message from your biggest prospect asking for "just a quick update on pricing."

You'll find it eventually. After you update the forecast. After you respond to Legal about that redline. After you log today's calls. After you...

Actually, let's be honest. If you find it, it’ll be tomorrow morning after they send a follow-up asking if you’re gonna reply to their first message.

This is broken.

The average enterprise sales rep spends 72% of their week on busywork. Not selling. Not building relationships. Not closing deals. Just... copying and pasting. Updating spreadsheets. Filing tickets. Searching through message threads. Playing human router between systems that refuse to talk to each other.

The average enterprise AE  gets handed a pipeline with dozens of complex concurrent opportunities spread across 9 different systems, and far-and-away the dominant system-of-record that connects their data is Microsoft Excel and the dominant API that connects them is their laptop’s Clipboard.

AI was supposed to fix this. Instead, it made it worse. Now we have AI writing more emails for other AI to summarize. Chatbots create 150x more noise than humans can possibly filter per day. We have "AI SDRs" that everyone instantly deletes because they sound like badly programmed phone trees from 2003. 

Why gigue exists

We're building something different at gigue. Not another inbox. Not another CRM. Not another chatbot or “AI executive assistant” that you have to train but never really learns. 

We're building the first real workspace where sales reps can actually work – where messages organize themselves, where routine tasks happen automatically, where AI helps you sound like yourself instead of a robot, where every response carries the full context of your relationship, your company's capabilities, and your deal strategy – without you having to remember or look up a single thing.

We found there’s literally a missing layer of your tech stack – not another app to check, but the place where work context and output converges. We think of it as a "digital blotter" - the pad on your desk between your inbox and your outbox where you actually get work done. It brings together everything from your inboxes and workspaces, surfaces what matters when it matters, and helps you move from insight to action without the constant copy-paste shuffle.

When you're crafting that crucial customer response, it's like having your entire company's knowledge instantly available – the right pricing, the latest product updates, the context from that call three months ago, the compliance requirements for their industry – all there without you having to remember it exists or hunt for it across seventeen different systems.

We couldn't have built this even twelve months ago. The AI wasn't ready. MCP and A2A were too nascent. The cost would have been prohibitive. But now? Now we can finally build the workspace sales reps deserve.

But building the future of work isn't just about the product. It's about changing how an entire industry thinks about their tools, their workflows, and what's possible.

That's what context is for.

What you’ll find here

Real solutions to real problems. We're not here to sell you on AGI or debate whether AI will replace salespeople. We’re not building AGI in the first place, and we like salespeople: we’re not interested in replacing any of you. We're here to show reps how to reclaim those 28 hours of busywork every week so they can become even more irreplaceable.

Experiments that actually ship. When we test a new way to handle customer emails or automate follow-ups, we'll show you exactly how it works. The wins, the failures, the weird edge cases that broke everything at 2 AM. When they come with data or scripts, we’ll link a Github with everything you need to replicate yourself.

Playbooks you can steal. Every workflow we build, every integration we crack, every prompt that actually works – it's yours. Copy it. Modify it. Make it better and tell us how.

The truth about building AI for GTM. Most AI tools are built by engineers who've never carried quota. They’ve never gotten 2000 emails in a day, let alone lost a deal because they’ve missed just one. We're building for ourselves – for the thousands of Slacks we've triaged, the hundreds of deals we've won and lost, the late-night and early-morning fire drills we've sweated.

The why behind what we do. There's a lot of hammers out there seeking nails right now. Deji and I take an old-school view to entrepreneurship: if you're not solving a problem, the technology doesn't matter. The AI of it all isn't nearly as important as the people who are struggling and the pain we can help resolve for them. If we can do that without creating a single agent or LLM, then we should. (Spoiler alert: that's what happened. We found people need the first environment to make their LLMs and agents any good way more than they need the 20,001st agent).

What's Next

Every week, we'll share what we're learning as we build this future:

• Tactical guides: How to automate specific GTM workflows

• Tool breakdowns: What works, what doesn't, and why

• Customer stories: Real teams reclaiming their time

• Industry analysis: Where GTM tech is headed and how to stay ahead

• Open problems: The hard stuff we haven't figured out yet

This isn't just about our product. It's about fundamentally rethinking how GTM teams work in an AI-first world.

Because here's what we believe: AI shouldn't replace salespeople. It shouldn't even pretend to be salespeople. It should make salespeople superhuman at the things only humans can do – building trust, understanding problems, creating solutions, closing deals. 

The best revenue teams of the future won't pit humans against AI or pretend AI can do human jobs. They'll be true partnerships – allocating human creativity, empathy, and judgment to the moments that matter, while AI handles the repetitive, the systematic, the predictable.

Think about it: Why have AI pretend to be an AE at 60% effectiveness when you could have AEs operating at 200% effectiveness because they're freed from busywork? Why settle for fake human connections when you could enable real humans to build more connections than ever before?

This isn't just philosophy. It's economics. Better allocation of human and AI capabilities means faster deal cycles, bigger contract values, happier customers, more fulfilled AEs, and yes – better returns for everyone involved. That's not compromise. That's optimization.

At gigue, our mission is simple: Make humans incredible at work, and make work incredible for humans.

Because when you strip away the busywork, what's left is the work that matters. The work that only humans can do. The work that reminds you why you got into sales in the first place.

Ready to reclaim your time?

Welcome to context. Let's build the future of selling together.