Monday 30 June – Tuesday 1 July 2026 · Ahmedabad
Agentic AI Foundation Program — Essentials
Program 01 · 2-day corporate cohort
View recapRecap up · Agentic AI Essentials · 200OK Solutions · 30 Jun–1 Jul 2026
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
Anthropic reports Claude produced the first end-to-end Lean formalization of Fermat’s Last Theorem
GPT-6 Astra becomes generally available in GitHub Copilot for Pro+, Max, Business, and Enterprise
GitHub Copilot adds Agent Merge public preview and expands Fable 5.1 and Gemini 3.8 Flash model choice
Claude Code 2.1.261 adds /skill-doctor and raises inline tool-output limits for long agent runs
OpenAI releases GPT-6 Astra as its first Critical-cyber Preparedness model for agentic coding and computer use
Google ships Gemini 3.8 Flash for agentic coding at the same introductory price as 3.7 Flash
Google launches Fairwind with Gemini 3.8 Flash Cyber for trusted defender vulnerability and patching agents
Meta releases Muse Spark 1.3 for longer-horizon agentic workflows and more efficient coding agents
Note · Graph engineering with Claude.
Note · How to actually use Fable 5.
Note · The complete RAG pipeline: 12 steps behind every reliable agent.
Recap up · Agentic AI Essentials · 200OK Solutions · 30 Jun–1 Jul 2026
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
Anthropic reports Claude produced the first end-to-end Lean formalization of Fermat’s Last Theorem
GPT-6 Astra becomes generally available in GitHub Copilot for Pro+, Max, Business, and Enterprise
GitHub Copilot adds Agent Merge public preview and expands Fable 5.1 and Gemini 3.8 Flash model choice
Claude Code 2.1.261 adds /skill-doctor and raises inline tool-output limits for long agent runs
OpenAI releases GPT-6 Astra as its first Critical-cyber Preparedness model for agentic coding and computer use
Google ships Gemini 3.8 Flash for agentic coding at the same introductory price as 3.7 Flash
Google launches Fairwind with Gemini 3.8 Flash Cyber for trusted defender vulnerability and patching agents
Meta releases Muse Spark 1.3 for longer-horizon agentic workflows and more efficient coding agents
Note · Graph engineering with Claude.
Note · How to actually use Fable 5.
Note · The complete RAG pipeline: 12 steps behind every reliable agent.
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 How I help teams
Four ways to move from talking about AI to shipping it.
01
Corporate training
Intensive, 80%-hands-on programs that take dev teams from AI-assisted coding to shipping production multi-agent systems. Working code every session.
See the programs 02Agentic AI consulting
Design and build your first production agent system — architecture, implementation, and a clean handoff to your team.
How it works 03Enterprise solutions
Reusable agentic patterns mapped to real business outcomes: support triage, document automation, internal copilots, and more.
Browse solutions 04Daily AI updates
What shipped in agentic AI today — curated and condensed with implementation notes for builders. One email on Thursdays.
Read the latest
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
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.
From the blog
Field notes from production agentic AI.
Claude’s Fermat Last Theorem Lean formalization: what Prove2Me multi-agent orchestration means for verification workloads
On September 4, 2026 Anthropic reported that Claude agents produced the first complete computer-checked proof of Fermat’s Last Theorem in Lean after 11 largely autonomous days on Prove2Me. The result is a practical blueprint for long-horizon multi-agent verification, not only a mathematics milestone.
ReadGitHub Copilot’s September 4 wave: GPT-6 Astra GA, Agent Merge preview, and how to govern the new model lanes
On September 4, 2026 GitHub made GPT-6 Astra generally available in Copilot and published a weekly release that expands Fable 5.1 and Gemini 3.8 Flash access while putting Agent Merge into public preview. This guide covers what changed and how enterprises should enable the new agentic coding lanes.
ReadGPT-6 Astra for enterprise agents: Critical cyber designation, routing decisions, and the September 2026 rollout checklist
OpenAI released GPT-6 Astra on September 3, 2026 as its most capable broadly deployed model for coding, computer use, research, and long-horizon agent work. It is also OpenAI’s first model to reach Critical cybersecurity capability under the Preparedness Framework. This guide explains what changed, who should enable it, and how to route it safely against Sol and Fable 5.1.
ReadFAQ
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 jigar@wanbuffer.com.
Or get the weekly agentic AI brief