🤖⚠️ The Hidden Problem in the Agent Hype 🕵️‍♂️🔍

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After months of hands‑on testing with today’s headline AI and agents—ChatGPT Team, Slack AI, Glean, Manus, and several stealth contenders—I’ve realised the real blocker isn’t raw model IQ, it’s context blindness. The AI Agent nowadays can browse the web and click APIs, but they know nothing about your internal history, so their output feels like an eager intern’s first draft next to a veteran employee’s work.

● They run web searches, yet without deal terms or house style, the queries miss the mark and the research veers off‑track.

● Weekly reports are re‑generated from scratch because the agent doesn’t see the spreadsheet where last quarter’s KPIs actually live.

● Slide decks look polished—until someone asks, “Where did this figure come from?” and no link points back to the pricing thread or the finance model that created it.

A Week with Tanka—What Surprised Me

Tanka is an AI-powered messenger designed for teams that does more than just chat: it remembers everything. Think Slack or Gmail, but with AI long-term memory baked in—so your team's messages, emails, docs, and decisions are always connected, searchable, and actionable. Whether it's surfacing key context automatically, generating business documents, or providing AI-driven follow-ups, Tanka acts like a digital colleague who never forgets.

I plugged Tanka into two real teams (a 20‑person startup and a 200‑person scale‑up). By day five, the workflow felt different.

● Context arrives automatically: Search “renewal risk” and Tanka not only finds the exact customer e‑mail but also the Slack thread and follow-ups you’d forgotten.

● Outputs you can ship: Ask for a business plan and Tanka compiles it, pre‑linked to your internal docs—finance signs off without re‑crunching numbers.

● No onboarding ceremony: Connect Slack, Gmail, Notion once—Tanka keeps learning quietly in the background.

A 30‑Second Look Under the Hood

Tanka continuously listens to team conversations, emails, and document changes, storing everything in a versioned memory graph. Every query and task is enhanced by this deep memory layer. It feels less like “chatting with a bot” and more like asking a colleague who's been there since day one.

● Streaming updates mean answers are always fresh.

● Source links stay attached, so you can trace or share with confidence.

●Your data stays private—in your cloud—never used to train external models.

Two Deep‑Dive Scenarios From the Field

Use Case #1 – Déjà‑Vu Decision Recall + Guided Next Steps
Natural‑language query "what API rate did we promise Acme?" returns the Zoom agreement, the follow‑up customer e‑mail, and an AI‑drafted response ready to send.

● Saves triage time when customers resurface old promises.

● Keeps answers consistent with past commitments.

● Frees senior staff from acting as human search engines.

Use Case #2 – Interactive Business‑Plan Builder (Coming Soon)
“/tanka create Series B business plan” compiles pricing chats, investor notes, and wiki demand studies into a live web doc teammates can tweak.

● Every figure links back to a message or sheet.

● Scenario toggles update charts on the fly.

●Board decks stop being copy‑paste marathons.

Try Tanka During the Free Beta

The product is invite‑only for now, but feedback slots are open.

● Spin up a workspace in ~3 minutes at tanka.ai—no credit card, up to 10 k internal items indexed free.

●If it feels like the missing layer, tell the team what to build next; if not, three clicks and your data is gone.