Diggt Habit

Transform daily routines into lasting habits! Diggt Habit App syncs with Apple Watch & iPhone Health for accurate tracking. Build better habits today!

[Diggt Habit @diggthabit]

For personal operating discipline—like habit tracking—the source of truth must be deterministic and instantly available. The most reliable source of truth is always local.

[SRASTA AI @srasta_ai]

The Problem with "Black Box" AI:
When an LLM moves from a sandbox prompt to a production workflow, it doesn't just "generate text." It manages state, memory, and tools. If those boundaries are undefined, the system runs into architectural risk: memory drift, uncontrolled data leakage, and un-auditability.
#SrastaAI #AIControlPlane #AIRuntime #AIInfrastructure #AgenticAI #PrivateAI #EnterpriseAI #LLMOps #AIOps #OpenWeights

[Prem Moola @moolaprem]

The narrative shift in AI leadership isn't about the model's capability—it's about the operational layer of control.
https://t.co/SRgCpGNu8x
#SrastaAI #AIControlPlane #AIRuntime #AIInfrastructure #AgenticAI #PrivateAI #EnterpriseAI #LLMOps #AIOps #OpenWeights

[SRASTA AI @srasta_ai]

The Governance Gap: Moving AI from Demo to Deterministic Workflow https://t.co/eR3I8LfJ3N

#SrastaAI #AIControlPlane #AIRuntime #GovernedAI

[SRASTA AI @srasta_ai]

The model is not the moat.

The operating layer is.

Enterprise AI needs identity, policy, routing, governed memory, evals, audit, observability, deployment, rollback, and cost control around the model.

That is where Srasta is focused.

https://t.co/VJMxoYzEGK

#SrastaAI #AIControlPlane #AIRuntime #AIInfrastructure #AgenticAI #PrivateAI #EnterpriseAI #LLMOps #AIOps #OpenWeights

[SRASTA AI @srasta_ai]

Current enterprise AI deployments often treat the LLM interaction as a stateless call: Prompt $\to$ Model $\to$ Answer.
In regulated environments, this is fundamentally insufficient. AI systems require a defined, auditable 'Memory Boundary.'
#SrastaAI #AIControlPlane #AIRuntime #AIInfrastructure #AgenticAI #PrivateAI #EnterpriseAI #LLMOps #AIOps #OpenWeights

[SRASTA AI @srasta_ai]

API model is fast to prototype, but speed comes with fundamental architectural flaw: cost is tied directly to consumption, not business value. You are paying for a token count, not successful business outcome leading to extreme financial variability and difficulty in forecasting.

[SRASTA AI @srasta_ai]

Most enterprise AI deployments treat token usage as utility, but operational architects know it's variable cost model with catastrophic risk.Modern threat isn't hallucination; it's unpredictable infrastructure bill. When AI scales, unpredictable cost becomes a governance problem

[SRASTA AI @srasta_ai]

I just wrote my first note on Substack https://t.co/RPCZ7NGDMI

[SRASTA AI @srasta_ai]

Enterprise AI pilots rarely stall because the model is bad. https://t.co/1YdX8y9dgL

[SRASTA AI @srasta_ai]

AI token cost is becoming an architecture problem.Once AI moves from experiments into workflows, teams need controlled inference paths, model-routing policy,governed mem, auditable tools, & recovery workflows.
https://t.co/S70plUqK6s
#EnterpriseAI #AIInfrastructure #AIGovernance

[SRASTA AI @srasta_ai]

The model is not the moat. Operating layer is.
Enterprise AI needs identity, policy, routing, governed memory, evals, audit, observability, deployment, rollback, and cost control around the model
Srasta's focuses on that .#EnterpriseAI #AIGovernance
https://t.co/bYpDiRGTNE

[Prem Moola @moolaprem]

Enterprise AI pilots rarely stall because the model is bad. https://t.co/ECNfVVFS2f

[SRASTA AI @srasta_ai]

Srasta is built around a simple idea:
Enterprise AI needs a control plane, not just a chat interface.
It means private inference, governed memory, identity/RBAC, policy-aware tool execution, audit trails, and operator workflows.
The model matters. The operating layer matters more

[Prem Moola @moolaprem]

Most enterprise AI conversations start with the model.

In production, the model is surrounded by context: documents, permissions, tool results, workflow state, user history, and prior decisions.

That context layer needs governance too. https://t.co/9u2L3oWq4J @srasta_ai

[Diggt Habit @diggthabit]

Before you create habits you need to be aware of choices you make every min, it's those foundational choices which manifest themselves into habits, keep detailed track of your habits. #diggthabit will help you in your journey to better yourself #trackyourhabits #hackyourlife

[Diggt Habit @diggthabit]

Habits are such an integral part of your life. It’s the least measured thing in your life. What you can’t measure, you can’t get better …: #diggthabit #habits download diggt habit app and start measuring your habits. #hackyourlife

[Science girl @sciencegirl]

Engineers raised one stair by an inch, and it was enough to disrupt muscle memory, showing how strongly habit guides our movements.

[Diggt Habit @diggthabit]

💪 Sync with Apple Health & Google Fit!

Diggt Habit integrates with your favorite health apps. Track workouts, steps, and more—all in one place.

Download → https://t.co/DPRCUF8G3T

#diggthabit #HabitTracker #PrivacyFirst #Productivity #SelfImprovement #DailyHabits #GoalSetting

[Diggt Habit @diggthabit]

Great suggestion…. Habit tracking tool to track and measure how often you follow this habit is also critical, leverage #diggthabit it any similar tools to track
#diggthabit #measure #habittracking

[Bryan Johnson @bryan_johnson]

Build this one life habit: final food 4 hr before sleep.

Never ever break it.

It will change your life, I promise.

[Diggt Habit @diggthabit]

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#diggthabit #HabitTracker #PrivacyFirst #OfflineApp