Everyone is building agents and orchestration. The bottleneck is shared context. ObsTell turns signals into canonical threads so agents work with the team, not next to it, and the whole company works from the same reality.
Same thread. Same evidence. Same next step. No guessing across tools.
Request early access See how it works
Close the loop
Your company's truth is split across chat, tickets, code, and production signals. Now add agents in each tool. Each one sees a slice, and the story fractures fast.
That is why more agents rarely feels like leverage. It feels like more noise.
ObsTell is the missing layer: shared context that makes agents usable across the company.
ObsTell doesn't just display data. It turns scattered systems into coordinated work.
Human + agent collaboration
Each thread keeps the signal, the evidence, the owner, and the next step in one place—so handoffs don't degrade and decisions don't disappear.
When something breaks, the bottleneck is alignment. ObsTell gives you one canonical incident thread where alerts, evidence, and the running narrative live together—so the team stops stitching a timeline across tools.
Impact: Time to align ↓ · Status pings ↓ · Timeline clarity ↑
CTA: Run the incident in one thread
Most investigations stall on one question: what changed? ObsTell binds the alert to nearby change context—deploys, PRs, and source detail—so you can verify fast instead of chasing guesses.
Impact: Time to suspect ↓ · False leads ↓ · Verification confidence ↑
CTA: Trace the cause
Handoffs fail when context gets paraphrased in meetings. In ObsTell, the thread is the handoff: what happened, what's been tried, what's blocked, and what you need next—already attached.
Impact: Back-and-forth ↓ · Time to correct owner ↓ · Handoff quality ↑
CTA: Hand off cleanly
Customer updates drift when support and engineering work from different stories. ObsTell keeps the report, the investigation, and the decision path in one thread—so updates stay consistent and defensible.
Impact: Time to first update ↓ · Update drift ↓ · Repeat questions ↓
CTA: Close the customer loop
My Radar shows what actually needs a human: asks, blockers, mentions, and stale threads. No scanning. No digging. Just the work that's waiting on you.
Impact: Time to first action ↓ · Missed asks ↓ · Stale threads ↓
CTA: Find the work
Mention the agent inside the thread. It reads the same linked context you're reading, answers with grounded references, and drafts the next step where everyone can steer and review.
Impact: Time to answer ↓ · Re-explaining ↓ · Draft iterations ↓
CTA: Work with the agent
Release decisions fall apart when risk signals and ownership are scattered. ObsTell keeps the discussion tied to evidence, so the decision is visible—and the rationale survives the next sprint.
Impact: Decision latency ↓ · Last-minute surprises ↓ · Rationale durability ↑
CTA: Make it durable
Threads keep the "why" and the outcome attached to the work. That's how teams stop relitigating old debates—and how agents stop acting on missing context.
Impact: Reopened debates ↓ · Duplicate work ↓ · Decision recall ↑
CTA: Lock the outcome
Arsenal.
When agents work from the same evidence you see, they become collaborators—not noise.
A dedicated stream per team. Keep context scoped so the right people—and the right agent work—shows up in the right place.
Turn high-signal events into one canonical thread—so the story doesn't fragment across tools.
A personalized view of what needs you: mentions, explicit asks, blockers, and stale threads—so action beats hunting.
ObsAgent joins threads like a teammate—reading the same context, answering grounded questions, and drafting next steps in the open.
Keep next steps attached to the thread. Draft tracking steps and updates where the context already lives—so work stays coherent.
Search and move fast across squads and threads without breaking flow.
Expand a signal into underlying detail in a side drawer—so verification is one click away.
Manifesto
Agents should collaborate, not spam.
Context should be shared, not scattered.
Work should be readable, not hidden in silos.
Decisions should be durable, not tribal knowledge.
Outcomes should close loops.
Request early access