Live · 9 May 2026 · Speaking at 11th DOT NET DAY by MDCA Ahmedabad
Recap up · AIMED workshop "The Agentic Operating System" · 2 May 2026
Daily agentic AI updates in the WhatsApp community — join from /card
Fable 5 included subscription access window closes today: Anthropic planned June 23 removal to usage credits, but global suspension since June 12 still blocks all access
Claude Code ships Artifacts in beta: Team and Enterprise sessions publish live, org-private review pages that update in place at a claude.ai URL
Claude Code v2.1.183 tightens auto-mode safety: blocks destructive git resets, agent-amend commits, and infrastructure destroy unless you asked for them
GitHub Copilot usage metrics API adds ai_credits_used per user for enterprise and org-level attribution
OpenAI Codex app 26.616 adds Record and Replay on macOS: demonstrate a workflow once and Codex turns it into a reusable Computer Use skill
Xiaomi MiMo V2-Flash and TTS endpoints auto-route to MiMo-V2.5 on June 18: legacy model IDs retire June 30
MCP Enterprise-Managed Authorization is now stable: IdP-provisioned connector access replaces per-server OAuth consent for Claude, VS Code, and supported servers
Cursor Automations add the /automate skill, five GitHub review triggers, and computer-use demos for always-on cloud agents
Note · Agentic AI content quality: 5 agents, one pipeline.
Note · Stop paying frontier prices for classification.
Note · Sequential or parallel? Draw the flow.
Live · 9 May 2026 · Speaking at 11th DOT NET DAY by MDCA Ahmedabad
Recap up · AIMED workshop "The Agentic Operating System" · 2 May 2026
Daily agentic AI updates in the WhatsApp community — join from /card
Fable 5 included subscription access window closes today: Anthropic planned June 23 removal to usage credits, but global suspension since June 12 still blocks all access
Claude Code ships Artifacts in beta: Team and Enterprise sessions publish live, org-private review pages that update in place at a claude.ai URL
Claude Code v2.1.183 tightens auto-mode safety: blocks destructive git resets, agent-amend commits, and infrastructure destroy unless you asked for them
GitHub Copilot usage metrics API adds ai_credits_used per user for enterprise and org-level attribution
OpenAI Codex app 26.616 adds Record and Replay on macOS: demonstrate a workflow once and Codex turns it into a reusable Computer Use skill
Xiaomi MiMo V2-Flash and TTS endpoints auto-route to MiMo-V2.5 on June 18: legacy model IDs retire June 30
MCP Enterprise-Managed Authorization is now stable: IdP-provisioned connector access replaces per-server OAuth consent for Claude, VS Code, and supported servers
Cursor Automations add the /automate skill, five GitHub review triggers, and computer-use demos for always-on cloud agents
Note · Agentic AI content quality: 5 agents, one pipeline.
Note · Stop paying frontier prices for classification.
Note · Sequential or parallel? Draw the flow.
Agentic AI architect · Trainer · Builder

I ship agentic AI to production. Then I teach your team to.

Jigar Joshi
15+ years · 150+ agents in productionWork with me
Jigar Joshi — Agentic AI architect and trainer
About Jigar

Built and taught by someone who ran the transformation himself.

Not theory from a slide deck — patterns proven in production at Wan Buffer and on real client stacks.

  • Trains development teams and consults with IT companies on production agentic AI
  • Every engagement is customised to your tech stack and ships working deliverables
  • Runs Wan Buffer — 20 people plus 150 agents in production
  • Speaks on agentic AI for software CEOs, founders, and engineering teams
More about Jigar
15+
years in software, ERP & AI
8+
IT services teams trained
150+
agents in production
40%
faster delivery after training
Keynotes & workshops

Invite Jigar to speak at your event.

Keynotes and hands-on workshops on agentic AI for engineering teams, software CEOs, and founder communities. Practical, demo-driven, and tailored to your audience, not generic AI hype.

Saturday, 20 June 2026 · Ahmedabad

AI Beyond Automation: Creating New Revenue, Markets & Business Models

One Agent Coordinates Your Entire ADLC

View recap
From the blog

Field notes from production agentic AI.

Claude Code Artifacts turn terminal output into live review pages: what Team and Enterprise buyers should pilot first

Artifacts in Claude Code beta publish self-contained HTML to claude.ai that republishes to the same URL as the session progresses, with version history and org-only sharing. Strict CSP, no external fetch, no backend. Requires Team or Enterprise and claude.ai login. Here is the workflow I use for PR walkthroughs and incident timelines without screenshot threads in Slack.

Read

MCP Enterprise-Managed Authorization is stable: how IdP-provisioned connector access replaces per-server OAuth hell

EMA makes the organization IdP the decision-maker for which MCP servers a user can reach. Admins enable connectors once; clients exchange an Identity Assertion JWT for scoped tokens without redirecting every employee through OAuth per server. Anthropic ships it across Claude, Claude Code, and Cowork; VS Code supports it; Okta is the first IdP. Here is the pilot I run before July 28 stateless transport work lands.

Read

Cursor cloud subagents in 2026: /in-cloud, /babysit, and /automate without losing your local guardrails

Cursor 3.7 lets you spin subagents in cloud VMs with /in-cloud, iterate on a PR until merge-ready with /babysit, and hand off between local and cloud sessions. Cursor 3.8 adds /automate and five GitHub review triggers. Here is the workflow I use so parallel cloud work does not bypass Auto-review, environment snapshots, or pre-push /review.

Read
FAQ

Common questions about agentic AI consulting and training.

What is agentic AI consulting?

It is hands-on help designing and shipping AI systems that take actions, not just answer questions. In practice that means scoping the right workflow, building the agent with reliable tools, evals, and guardrails, and handing your team a system they can run. I work mostly with IT services teams putting their first or second agent into production.

What does a corporate agentic AI training program cover?

A practical path from prompt to production agent: the agent loop, tool design, the Model Context Protocol, multi-agent orchestration, evals, and observability. Teams build real agents during the program rather than watching slides. Format and length are tailored to your team, from a focused two-day workshop to a multi-week cohort.

Which frameworks and tools do you build agents with?

Whatever fits the job, but the stack I reach for most is the Claude API, the Model Context Protocol for tools, Python and FastAPI, pgvector for retrieval, and an observability layer like Langfuse or OpenTelemetry. The point is matching the tool to the problem, not standardising on a framework for its own sake.

How long does it take to get an agent into production?

For a bounded, well-scoped workflow, a working agent in front of real users in about 90 days is realistic, with the agent and its operating layer of evals, observability, and guardrails built together. What stretches timelines is rarely the model. It is unclear scope, messy data, and a security review that arrives late.

Do you work with teams outside India?

Yes. I am based in Ahmedabad and work with teams across India and remotely worldwide. Consulting and training are delivered in person or remotely depending on what suits your team.

Let’s build with agentic AI.

Tell me about your team and what you want to ship. Or email [email protected].

Or get the weekly agentic AI brief